various changes

.gitignore

@@ -1,5 +1,6 @@
 apt-sec.log
 CVE-search/
+models/
 __pycache__
 # Compiled source #
 ###################

apt-sec.py

@@ -26,6 +26,8 @@ import psycopg2
 import powerlaw as pl
 import DLAmine as dla
 import pickle
+import paper_plots as carlosplt
+from matplotlib2tikz import save as tikz_save
 
 logging.basicConfig(stream=sys.stderr, level=logging.DEBUG)
 ## Increase the recursion limit by much to allow bs to parse large files
@@ -824,25 +826,26 @@ def plot_all(src2month):
     ## Sum of vulnerabilities by package
     src2sum = dict()
     src2year = dict()
-    year_sum = [0] * 16
-    year_num = [0] * 16
+    years = 16  # 2001 - 2000 + years
+    year_sum = [0] * years
+    year_num = [0] * years
     for pkg in src2month:
-        for j in range(16):
+        for j in range(years):
             temp =  sum(src2month[pkg][12*(1+j):12*(2+j)])
             if (temp>0):
                 year_num[j] += 1
             year_sum[j] += temp 
-        total = sum(src2month[pkg][12:-12])
-        last_year = sum(src2month[pkg][-24:-12])
+        total = sum(src2month[pkg][12:])
+        last_year = sum(src2month[pkg][-12:])
         print(pkg + '; ' + str(last_year))
-        if (total>0):
+        if (total>1):
             src2sum[pkg] = total
     
     values = sorted(src2sum.values(),reverse=True)
     keys = list(sorted(src2sum, key=src2sum.__getitem__, reverse=True))
     i = 0
     few_keys = []
-    print(keys)
+    #print(keys)
     for k in keys:
         if (i==0):
             few_keys.append(k)
@@ -851,105 +854,127 @@ def plot_all(src2month):
             i = 0
 
     print('package number =' + str(len(values)) + '... ' + str(len(keys)))
-    plt.style.use('ggplot')
-    plt.plot([1000] + values)
-    #plt.xticks(np.arange(1,len(src2sum),10.0)+1,few_keys, rotation="vertical")
+    carlosplt.pre_paper_plot(True)
+    #plt.style.use('ggplot')
+
+    plt.figure(figsize=(10,5))
+    plt.plot([1000] + values, color='darkblue', lw = 2)
+    plt.xticks(np.arange(1,len(src2sum),10.0)+1,few_keys, rotation="vertical")
     plt.ylabel('Vulnerabilities')
     plt.yscale('log')
-    plt.xscale('log')
+    #plt.xscale('log')
     plt.tight_layout()
+    carlosplt.post_paper_plot(True,True,True)
+    tikz_save('line.tex', figureheight='\\figureheight', figurewidth='\\figurewidth')
     plt.show()
 
     print('Yearly vulnerabilites in total' + str(year_sum))
 
     ## Number of affected packages
     n = len(year_sum)
-    yearsx = ['\'01', '\'02', '\'03', '\'04', '\'05', '\'06', '\'07', '\'08', '\'09', '\'10', '\'11' , '\'12' ,'\'13', '\'14', '\'15', '\'16']
-    x = range(16)
+    yearsx = []
+    for i in range(1,years+1):
+        yearsx.append('\''+str(i).zfill(2))
+    x = range(years)
     width = 1/2
-    plt.bar(x, year_num, width, color='orange')
+    plt.bar(x, year_num, width, color='darkblue', edgecolor='black')
     plt.xticks(np.arange(0,n),yearsx)
     plt.ylabel('Number of affected packages')
     plt.xlabel('Year')
+    carlosplt.post_paper_plot(True,True,True)
     plt.show()
     
     
     ## Average number of vulnerabilities per package per year
-    average_per_year = [0] * 16
-    for j in range(16):
+    average_per_year = [0] * years
+    for j in range(years):
         average_per_year[j] = year_sum[j]/float(year_num[j])
 
     
 
     print(average_per_year)
+    x_values = list(range(1,years+1))
+    print(x_values)
+    slope = np.polyfit(x_values,average_per_year,1)
+
+    #slope = np.polyval(slope,x_values)
+    print('Slope: ' + str(slope))
 
 
     n = len(year_sum)
-    yearsx = ['\'01', '\'02', '\'03', '\'04', '\'05', '\'06', '\'07', '\'08', '\'09', '\'10', '\'11' , '\'12' ,'\'13', '\'14', '\'15', '\'16']
-    x = range(16)
+    x = range(years)
     width = 1/2
     #plt.bar(x, year_sum, width)
-    plt.bar(x, average_per_year, width, color='blue')
+    plt.bar(x, average_per_year, width, color='darkblue', edgecolor='black')
     plt.xticks(np.arange(0,n),yearsx)
     plt.ylabel('Average vulnerabilities per package')
     plt.xlabel('Year')
+    carlosplt.post_paper_plot(True,True,True)
     plt.show()
 
     ## Work on selected packages (php7.0, openjdk8, wireshark, chromium-browser, icedove, linux)
 
     src2quarter = dict()
-    quarter_num = 17*4 
-    for pkg in src2month:
-        #if (pkg == 'php7.0' or pkg == 'openjdk-8' or pkg=='wireshark' or pkg=='chromium-browser' or pkg=='icedove' or pkg=='linux'):
-        if (pkg == 'php5'):
-            quarter_sum = [0] * quarter_num
-            for j in range(quarter_num):
-                temp =  sum(src2month[pkg][12+3*j:12+3*(j+1)])
-                quarter_sum[j] = temp
-            src2quarter[pkg] = quarter_sum
+    
+    quarter_num = years*4 
+    
+    pkg = 'php5'
+    quarter_sum = [0] * quarter_num
+    for j in range(quarter_num):
+        temp =  sum(src2month[pkg][12+3*j:12+3*(j+1)])
+        quarter_sum[j] = temp
+    src2quarter[pkg] = quarter_sum
 
     for pkg in src2quarter:
         n = len(src2quarter[pkg])
-        quartersx = ['1/\'01', '2/\'01', '3/\'01', '4/\'01', '1/\'02', '2/\'02', '3/\'02', '4/\'02', '1/\'03', '2/\'03', '3/\'03', '4/\'03', '1/\'04', '2/\'04', '3/\'04', '4/\'04', '1/\'05', '2/\'05', '3/\'05', '4/\'05', '1/\'06', '2/\'06', '3/\'06', '4/\'06', '1/\'07', '2/\'07', '3/\'07', '4/\'07', '1/\'08', '2/\'08', '3/\'08', '4/\'08', '1/\'09', '2/\'09', '3/\'09', '4/\'09', '1/\'10', '2/\'10', '3/\'10', '4/\'10', '1/\'11', '2/\'11', '3/\'11', '4/\'11', '1/\'12', '2/\'12', '3/\'12', '4/\'12', '1/\'13', '2/\'13', '3/\'13', '4/\'13', '1/\'14', '2/\'14', '3/\'14', '4/\'14', '1/\'15', '2/\'15', '3/\'15', '4/\'15', '1/\'16', '2/\'16', '3/\'16', '4/\'16', '1/\'17', '2/\'17', '3/\'17', '4/\'17']
-        x = range(quarter_num)
-        width = 1/2
-        ## Plot different colors for php
-        before = src2quarter[pkg][:-8] + ([0] * 8)
-        after = ([0] * 60) + src2quarter[pkg][-8:]
-        print(len(src2quarter[pkg]))
-
-        bar1 = plt.bar(x[:-26], before[24:-2], width, color='blue', label='before php7')
-        bar2 = plt.bar(x[:-26], after[24:-2], width, color='red', label='after php7')
-        plt.legend(handles=[bar1, bar2])
-
-        print('PHP Sum before: ' + str(sum(before)))
-        print('PHP Sum after: ' + str(sum(after)))
-        
-        #plt.bar(x, src2quarter[pkg], width, color='red')
-        plt.xticks(np.arange(0,n-26),quartersx[24:-2], rotation="vertical")
-        plt.ylabel('Vulnerabilities per quarter of package ' + pkg)
-        plt.xlabel('Quarter')
-        plt.show()
+    quartersx = []
+    for i in range(1,years+1):
+        for j in range(1,5):
+            if j==1:
+                quartersx.append('Q' + str(j)+'\''+str(i).zfill(2))
+            else:
+                quartersx.append(' ')
+
+
+
+    x = range(quarter_num)
+    width = 1/2
+    ## Plot different colors for php
+    before = src2quarter[pkg][:-8] + ([0] * 8)
+    after = ([0] * (len(before)-8)) + src2quarter[pkg][-8:]
+    print(len(src2quarter[pkg]))
+#
+    bar1 = plt.bar(x[:-26], before[24:-2], width, color='darkblue', label='before php7', edgecolor='black')
+    bar2 = plt.bar(x[:-26], after[24:-2], width, color='darkred', label='after php7', edgecolor='black')
+    plt.legend(handles=[bar1, bar2])
+#
+    print('PHP Sum before: ' + str(sum(before)))
+    print('PHP Sum after: ' + str(sum(after)))
+   
+    plt.xticks(np.arange(0,n-26),quartersx[24:-2], rotation="vertical")
+    plt.ylabel('Vulnerabilities per quarter of package ' + pkg)
+    plt.xlabel('Quarter')
+    carlosplt.post_paper_plot(True,True,True)
+    plt.show()
 
-    ## Plot for openjdk-7
+#    ## Plot for openjdk-7
     pkg = 'openjdk-7'
     quarter_sum = [0] * quarter_num
     for j in range(quarter_num):
         temp =  sum(src2month[pkg][12+3*j:12+3*(j+1)])
         quarter_sum[j] = temp
-        src2quarter[pkg] = quarter_sum
+    src2quarter[pkg] = quarter_sum
 
     n = len(src2quarter[pkg])
-    quartersx = ['1/\'01', '2/\'01', '3/\'01', '4/\'01', '1/\'02', '2/\'02', '3/\'02', '4/\'02', '1/\'03', '2/\'03', '3/\'03', '4/\'03', '1/\'04', '2/\'04', '3/\'04', '4/\'04', '1/\'05', '2/\'05', '3/\'05', '4/\'05', '1/\'06', '2/\'06', '3/\'06', '4/\'06', '1/\'07', '2/\'07', '3/\'07', '4/\'07', '1/\'08', '2/\'08', '3/\'08', '4/\'08', '1/\'09', '2/\'09', '3/\'09', '4/\'09', '1/\'10', '2/\'10', '3/\'10', '4/\'10', '1/\'11', '2/\'11', '3/\'11', '4/\'11', '1/\'12', '2/\'12', '3/\'12', '4/\'12', '1/\'13', '2/\'13', '3/\'13', '4/\'13', '1/\'14', '2/\'14', '3/\'14', '4/\'14', '1/\'15', '2/\'15', '3/\'15', '4/\'15', '1/\'16', '2/\'16', '3/\'16', '4/\'16', '1/\'17', '2/\'17', '3/\'17', '4/\'17']
     x = range(quarter_num)
     width = 1/2
-    ## Plot different colors for php
+#    ## Plot different colors for openjdk
     before = src2quarter[pkg][:-10] + ([0] * 10)
-    after = ([0] * 58) + src2quarter[pkg][-10:]
+    after = ([0] * (len(before)-10)) + src2quarter[pkg][-10:]
     print(len(src2quarter[pkg]))
 
-    bar1 = plt.bar(x[:-48], before[48:], width, color='blue', label='before openjdk-8')
-    bar2 = plt.bar(x[:-48], after[48:], width, color='red', label='after openjdk-8')
+    bar1 = plt.bar(x[:-48], before[48:], width, color='darkblue', label='before openjdk-8', edgecolor='black')
+    bar2 = plt.bar(x[:-48], after[48:], width, color='darkred', label='after openjdk-8', edgecolor='black')
     plt.legend(handles=[bar1, bar2])
     
     print('OpenJDK Sum before: ' + str(sum(before)))
@@ -959,6 +984,7 @@ def plot_all(src2month):
     plt.xticks(np.arange(0,n-48),quartersx[48:], rotation="vertical")
     plt.ylabel('Vulnerabilities per quarter of package ' + pkg)
     plt.xlabel('Quarter')
+    carlosplt.post_paper_plot(True,True,True)
     plt.show()
 
 
@@ -966,14 +992,14 @@ def plot_all(src2month):
     ###############################################################################################
 
     n = len(year_sum)
-    yearsx = ['\'01', '\'02', '\'03', '\'04', '\'05', '\'06', '\'07', '\'08', '\'09', '\'10', '\'11' , '\'12' ,'\'13', '\'14', '\'15', '\'16']
-    x = range(16)
+    x = range(years)
     width = 1/2
-    plt.bar(x, year_sum, width)
+    plt.bar(x, year_sum, width, color='darkblue', edgecolor='black')
     #plt.bar(x, average_per_year, width)
     plt.xticks(np.arange(0,n),yearsx)
     plt.ylabel('Total vulnerabilities')
     plt.xlabel('Year')
+    carlosplt.post_paper_plot(True,True,True)
     plt.show()
 
     sumall = sum(values)
@@ -1004,15 +1030,17 @@ def plot_all(src2month):
         LTS_quarter.append(temp)
 
     ## Print all LTS
+    cut = 12*4+1
     n = len(quarter_sum)
     x = range(quarter_num)
     width = 1/2
 
-    plt.bar(x, LTS_quarter, width, color='red', label='regular support')
+    plt.bar(x, LTS_quarter, width, color='brown', label='regular support', edgecolor='black')
     
     plt.xticks(np.arange(0,n),quartersx, rotation="vertical")
     plt.ylabel('Vulnerabilities per quarter of Debian LTS')
     plt.xlabel('Quarter')
+    carlosplt.post_paper_plot(True,True,True)
     plt.show()
 
 
@@ -1025,23 +1053,25 @@ def plot_all(src2month):
 
     print(quarter_sum_errors)
 
-    n = len(quarter_sum)
-    x = range(quarter_num)
+    cut = 12*4+1
+    n = len(quarter_sum) - cut
+    x = range(quarter_num-cut)
     width = 1/2
     
     print(len(LTS_quarter))
 
-    bar1 = plt.bar(x, quarter_sum_regular, width, color='brown', label='regular support')
-    bar12 = plt.bar(x, quarter_sum_errors, width, color='orange', label='regular support after release of next version - may contain noise')
-    bar2 = plt.bar(x, LTS_quarter, width, color='blue', label ='long-term support')
+    bar1 = plt.bar(x, quarter_sum_regular[cut:], width, color='darkblue', label='regular', edgecolor='black')
+    bar12 = plt.bar(x, quarter_sum_errors[cut:], width, color='darkorange', label='regular*', edgecolor='black')
+    bar2 = plt.bar(x, LTS_quarter[cut:], width, color='darkred', label ='long-term', edgecolor='black')
 
     #bar1 = plt.bar(x[:-48], before[48:], width, color='blue', label='regular support')
     #bar2 = plt.bar(x[:-48], after[48:], width, color='red', label='long-term support')
     plt.legend(handles=[bar1, bar12, bar2])
     
-    plt.xticks(np.arange(0,n),quartersx, rotation="vertical")
+    plt.xticks(np.arange(0,n),quartersx[cut:], rotation="vertical")
     plt.ylabel('Vulnerabilities per quarter of Debian Wheezy')
     plt.xlabel('Quarter')
+    carlosplt.post_paper_plot(True,True,True)
     plt.show()
 
 
@@ -1098,17 +1128,12 @@ def aptsec_help():
 ##
 ## Note: aptsec_status(), considers *reportedly installed* packages, while this
 ## one looks at *actually loaded* software that influenced the CPU since bootup.
-def aptsec_attest(sha1file):
-    pass
-
-## Main Program starts here!!
-
 try:
     action = sys.argv[1]
 except IndexError:
-#    print('No argument given')
-#    aptsec_help()
-#    sys.exit(0)
+    print('No argument given')
+    aptsec_help()
+    sys.exit(0)
     action = ''
 
 
@@ -1144,7 +1169,7 @@ if action == 'update':
 #    getdeps(src2dsa, src2deps)
     save_DBs(dsatable, src2dsa, dsa2cve, cvetable, src2month, src2sloccount, src2pop, src2deps, src2sum)
     save_state(state)
-    lstm.predict(src2month, src2sloccount, src2pop, src2deps)
+#    lstm.predict(src2month, src2sloccount, src2pop, src2deps)
 #    print(pkg_with_cvss['linux'])
     
     low = []

average_per_package.tex

@@ -0,0 +1,42 @@
+% This file was created by matplotlib2tikz v0.6.14.
+\begin{tikzpicture}
+
+\begin{axis}[
+xlabel={Year},
+ylabel={Average vulnerabilities per package},
+xmin=-1.075, xmax=17.075,
+ymin=0, ymax=7.77125748502994,
+width=\figurewidth,
+height=\figureheight,
+xtick={0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16},
+xticklabels={'01,'02,'03,'04,'05,'06,'07,'08,'09,'10,'11,'12,'13,'14,'15,'16,'17},
+tick pos=left,
+x grid style={white!69.019607843137251!black},
+y grid style={white!69.019607843137251!black}
+]
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:-0.25,0) rectangle (axis cs:0.25,1.63768115942029);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:0.75,0) rectangle (axis cs:1.25,1.88695652173913);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:1.75,0) rectangle (axis cs:2.25,1.90123456790123);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:2.75,0) rectangle (axis cs:3.25,2.05806451612903);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:3.75,0) rectangle (axis cs:4.25,2.76734693877551);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:4.75,0) rectangle (axis cs:5.25,3.12269938650307);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:5.75,0) rectangle (axis cs:6.25,3.26966292134831);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:6.75,0) rectangle (axis cs:7.25,4.58041958041958);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:7.75,0) rectangle (axis cs:8.25,3.38219895287958);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:8.75,0) rectangle (axis cs:9.25,3.83478260869565);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:9.75,0) rectangle (axis cs:10.25,4.69285714285714);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:10.75,0) rectangle (axis cs:11.25,4.41605839416058);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:11.75,0) rectangle (axis cs:12.25,5.33333333333333);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:12.75,0) rectangle (axis cs:13.25,5.76315789473684);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:13.75,0) rectangle (axis cs:14.25,6.1030303030303);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:14.75,0) rectangle (axis cs:15.25,7.40119760479042);
+\draw[draw=black,fill=blue!54.509803921568626!black] (axis cs:15.75,0) rectangle (axis cs:16.25,7.33510638297872);
+\path [opacity=0] (axis cs:1,13)
+--(axis cs:1,13);
+
+\path [opacity=0] (axis cs:13,1)
+--(axis cs:13,1);
+
+\end{axis}
+
+\end{tikzpicture}

cache/src2monthDLA

@@ -1 +0,0 @@
-{}

cache/state

@@ -1 +1 @@
-{"cache_dir": "cache/state", "next_adv": 4021, "next_fsa": 0, "Packages": "", "Sources": "", "Sha1Sums": "", "vendor": "debian"}
+{"cache_dir": "cache/state", "next_adv": 4065, "next_fsa": 0, "Packages": "", "Sources": "", "Sha1Sums": "", "vendor": "debian"}

development-matplotlib

@@ -0,0 +1 @@
+Subproject commit 35f74cc01dcdadc0959e9af2e1aabe81f19b52c6

line.tex

@@ -0,0 +1,689 @@
+% This file was created by matplotlib2tikz v0.6.14.
+\begin{tikzpicture}
+
+\begin{axis}[
+ylabel={Vulnerabilities},
+xmin=-32.85, xmax=689.85,
+ymin=1.46582287710854, ymax=1364.42133032142,
+ymode=log,
+width=\figurewidth,
+height=\figureheight,
+xtick={2,12,22,32,42,52,62,72,82,92,102,112,122,132,142,152,162,172,182,192,202,212,222,232,242,252,262,272,282,292,302,312,322,332,342,352,362,372,382,392,402,412,422,432,442,452,462,472,482,492,502,512,522,532,542,552,562,572,582,592,602,612,622,632,642,652},
+xticklabels={linux,iceape,xorg-server,cups,cacti,php4,mahara,mysql,cvs,poppler,gdk-pixbuf,postgresql,openssh,pdfkit,wu-ftpd,kazehakase,gallery,webcalendar,postfix,ecryptfs-utils,rsync,hplip,freerdp,cyrus-sasl2,maradns,openttd,libgcrypt20,super,libxml,libpam-ldap,fail2ban,foomatic-filters,xerces-c,xinetd,zlib,slocate,fte,affix,streamripper,libnet-dns-perl,pango1.0,kvirc,roundcube,redis,cron,listar,canna,gnocatan,node,xine-ui,lvm2,ht,dia,flex,links2,eggdrop,opensc,ldns,pcsc-lite,inetutils,stunnel4,libtar,rsyslog,dulwich,fuseiso,undertow},
+ytick={0.1,1,10,100,1000,10000,100000},
+yticklabels={,,$10^{1}$,$10^{2}$,$10^{3}$,,},
+xticklabel style = {rotate=90},
+tick pos=left,
+x grid style={white!69.019607843137251!black},
+y grid style={white!69.019607843137251!black}
+]
+\addplot [thick, blue!54.509803921568626!black, forget plot]
+table {%
+0 1000
+1 853
+2 685
+3 609
+4 416
+5 276
+6 243
+7 214
+8 211
+9 211
+10 182
+11 178
+12 170
+13 156
+14 148
+15 135
+16 130
+17 113
+18 100
+19 85
+20 78
+21 75
+22 73
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+24 70
+25 68
+26 68
+27 63
+28 62
+29 62
+30 61
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+32 61
+33 60
+34 57
+35 57
+36 55
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+40 47
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+42 45
+43 44
+44 44
+45 43
+46 41
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+48 40
+49 39
+50 38
+51 37
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+53 37
+54 35
+55 35
+56 33
+57 32
+58 32
+59 31
+60 28
+61 28
+62 27
+63 27
+64 27
+65 27
+66 27
+67 26
+68 26
+69 26
+70 25
+71 24
+72 24
+73 23
+74 23
+75 23
+76 22
+77 22
+78 22
+79 22
+80 21
+81 20
+82 20
+83 20
+84 19
+85 19
+86 18
+87 18
+88 18
+89 18
+90 18
+91 18
+92 18
+93 18
+94 17
+95 17
+96 17
+97 17
+98 16
+99 16
+100 16
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-<h1>This is just a test</h1>
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-<ul>
-<li><em>To</em>: <a href="mailto:debian-lts-announce%40lists.debian.org">debian-lts-announce@lists.debian.org</a></li>
-<li><em>Subject</em>: This is just a test</li>
-<li><em>From</em>: Alexander Wirt &lt;<a href="mailto:formorer%40formorer.de">formorer@formorer.de</a>&gt;</li>
-<li><em>Date</em>: Thu, 15 May 2014 21:47:54 +0200</li>
-<li><em>Message-id</em>: &lt;<a href="msg00000.html">20140515194754.GC3215@formorer.de</a>&gt;</li>
-<li><em>Mail-followup-to</em>: <a href="mailto:debian-devel%40lists.debian.org">debian-devel@lists.debian.org</a></li>
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-<pre>Hi,
-
-this is just a test.
-
-Alex - Listmaster of the day
-</pre><p><strong>Attachment:
-<a href="pgpmlquBaIwgI.pgp" ><tt>pgpmlquBaIwgI.pgp</tt></a></strong><br>
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-  <li><a href="mailto:formorer@formorer.de?In-Reply-To=&lt;20140515194754.GC3215@formorer.de&gt;&amp;Subject=Re:%20This is just a test&amp;CC=debian-lts-announce&#64;lists.debian.org">Alexander Wirt (on-list)</a></li>
-  <li><a href="mailto:formorer@formorer.de?In-Reply-To=&lt;20140515194754.GC3215@formorer.de&gt;&amp;Subject=Re:%20This is just a test">Alexander Wirt (off-list)</a></li>
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-
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-<title>[SECURITY] [DLA 217-1] xdg-utils security update</title>
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-<h1>[SECURITY] [DLA 217-1] xdg-utils security update</h1>
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-<ul>
-<li><em>To</em>: <a href="mailto:debian-lts-announce%40lists.debian.org">debian-lts-announce@lists.debian.org</a></li>
-<li><em>Subject</em>: [SECURITY] [DLA 217-1] xdg-utils security update</li>
-<li><em>From</em>: Mike Gabriel &lt;<a href="mailto:sunweaver%40debian.org">sunweaver@debian.org</a>&gt;</li>
-<li><em>Date</em>: Fri, 1 May 2015 11:32:20 +0200</li>
-<li><em>Message-id</em>: &lt;<a href="msg00000.html">20150501093219.GA739@minobo.das-netzwerkteam.de</a>&gt;</li>
-<li><em>Mail-followup-to</em>: <a href="mailto:debian-lts%40lists.debian.org">debian-lts@lists.debian.org</a></li>
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-<pre>The two below CVE issues have recently been fixed in Debian squeeze-lts:
-
-CVE-2014-9622
-
-     John Houwer discovered a way to cause xdg-open, a tool that automatically
-     opens URLs in a user's preferred application, to execute arbitrary
-     commands remotely.
-
-CVE-2015-1877
-
-     Jiri Horner discovered a way to cause xdg-open, a tool that automatically
-     opens URLs in a user's preferred application, to execute arbitrary
-     commands remotely.
-
-     This problem only affects /bin/sh implementations that don't sanitize
-     local variables. Dash, which is the default /bin/sh in Debian is
-     affected. Bash as /bin/sh is known to be unaffected.
-
--- 
-
-mike gabriel aka sunweaver (Debian Developer)
-fon: +49 (1520) 1976 148
-
-GnuPG Fingerprint: 9BFB AEE8 6C0A A5FF BF22  0782 9AF4 6B30 2577 1B31
-mail: sunweaver@debian.org, <a  rel="nofollow" href="http://sunweavers.net">http://sunweavers.net</a>
-
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-  <li><a href="mailto:sunweaver@debian.org?In-Reply-To=&lt;20150501093219.GA739@minobo.das-netzwerkteam.de&gt;&amp;Subject=Re:%20[SECURITY] [DLA 217-1] xdg-utils security update">Mike Gabriel (off-list)</a></li>
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-<h1>[SECURITY] [DLA 359-1] MySQL 5.5 packages added; end of support for MySQL 5.1</h1>
-<hr>
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-<ul>
-<li><em>To</em>: <a href="mailto:debian-lts-announce%40lists.debian.org">debian-lts-announce@lists.debian.org</a></li>
-<li><em>Subject</em>: [SECURITY] [DLA 359-1] MySQL 5.5 packages added; end of support for MySQL 5.1</li>
-<li><em>From</em>: Santiago Ruano Rinc&#xF3;n &lt;<a href="mailto:santiagorr%40riseup.net">santiagorr@riseup.net</a>&gt;</li>
-<li><em>Date</em>: Wed, 16 Dec 2015 08:58:02 +0100</li>
-<li><em>Message-id</em>: &lt;<A HREF="/msgid-search/20151216075802.GA26571@nomada">[&#128270;]</a>&nbsp;<a href="msg00011.html">20151216075802.GA26571@nomada</A>&gt;</li>
-<li><em>Mail-followup-to</em>: <a href="mailto:debian-lts%40lists.debian.org">debian-lts@lists.debian.org</a></li>
-<li><em>Reply-to</em>: <a href="mailto:debian-lts%40lists.debian.org">debian-lts@lists.debian.org</a></li>
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-<pre>Oracle, the upstream maintainer of MySQL, no longer supports MySQL
-version 5.1, which is included in Debian 6.0 &quot;squeeze&quot;. MySQL 5.1 likely
-suffers from multiple vulnerabilities fixed in newer versions after the
-end of upstream support, but Oracle does not disclose enough information
-either to verify or to fix them.
-
-As an alternative, the Debian LTS team is providing MySQL 5.5 packages
-for use in Debian 6.0 &quot;squeeze&quot;. We recommend that Squeeze LTS users
-install them and migrate their MySQL databases.
-
-Please note that a dist-upgrade will not consider these MySQL 5.5
-packages automatically, so users need to install them explicitly.
-
-If you are running a MySQL server:
-
-    apt-get install mysql-server-5.5
-
-If you only need the MySQL client:
-
-    apt-get install mysql-client-5.5
-
-
-Compatibility updates
-=====================
-
-Some packages were updated to solve incompatibility issues, that were
-fixed in the following versions:
-
-* bacula-director-mysql 5.0.2-2.2+squeeze2
-* cacti 0.8.7g-1+squeeze9
-* phpmyadmin 4:3.3.7-10
-* postfix-policyd 1.82-2+deb6u1
-* prelude-manager 1.0.0-1+deb6u1
-
-We recommend that you upgrade these packages before upgrading to
-MySQL 5.5. A common dist-upgrade should be enough.
-
-
-We have done our best to provide you with reliable MySQL 5.5 packages. We
-have made available test packages for some time, although we did not get
-any feedback from users. In any case, don't hesitate to report any issues
-related to this MySQL upgrade to debian-lts@lists.debian.org.
-
-</pre><p><strong>Attachment:
-<a href="pgpiqFlifBjY1.pgp" ><tt>signature.asc</tt></a></strong><br>
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-  <li><a href="mailto:santiagorr@riseup.net?In-Reply-To=&lt;20151216075802.GA26571@nomada&gt;&amp;Subject=Re:%20[SECURITY] [DLA 359-1] MySQL 5.5 packages added; end of support for MySQL 5.1&amp;CC=debian-lts-announce&#64;lists.debian.org">Santiago Ruano Rinc&#xF3;n (on-list)</a></li>
-  <li><a href="mailto:santiagorr@riseup.net?In-Reply-To=&lt;20151216075802.GA26571@nomada&gt;&amp;Subject=Re:%20[SECURITY] [DLA 359-1] MySQL 5.5 packages added; end of support for MySQL 5.1">Santiago Ruano Rinc&#xF3;n (off-list)</a></li>
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-<li><em>To</em>: <a href="mailto:debian-lts-announce%40lists.debian.org">debian-lts-announce@lists.debian.org</a></li>
-<li><em>Subject</em>: [SECURITY] Debian 6 Squeeze has reached end-of-life</li>
-<li><em>From</em>: Markus Koschany &lt;<a href="mailto:apo%40debian.org">apo@debian.org</a>&gt;</li>
-<li><em>Date</em>: Tue, 1 Mar 2016 12:34:56 +0100</li>
-<li><em>Message-id</em>: &lt;<A HREF="/msgid-search/56D57E60.6010607@debian.org">[&#128270;]</a>&nbsp;<a href="msg00000.html">56D57E60.6010607@debian.org</A>&gt;</li>
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-<pre>-----BEGIN PGP SIGNED MESSAGE-----
-Hash: SHA512
-
-The Debian Long Term Support (LTS) Team hereby announces that Debian 6
-(&quot;Squeeze&quot;) support has reached its end-of-life on February 29, 2016,
-five years after its initial release on February 6, 2011.
-
-There will be no further security support for Debian 6.0.
-
-The LTS Team will prepare the transition to Debian 7 (&quot;wheezy&quot;), which
-is the current oldstable release. The LTS team will take over support
-from the Security Team on April 26, 2016.
-
-Debian 7 will also receive Long Term Support for five years after its
-initial release with support ending on May 31, 2018.
-
-We recommend that you upgrade your systems. Instructions can be found
-at
-
-	<a  rel="nofollow" href="https://wiki.debian.org/LTS/Using">https://wiki.debian.org/LTS/Using</a>
-
-Debian and its LTS Team would like to thank all contributing users,
-developers and sponsors who are making it possible to extend the life
-of previous stable releases, and who have made this LTS a success.
-
-If you rely on Debian LTS, please consider joining the team, providing
-patches, testing or funding the efforts. More information can be found
-at
-
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-<li><em>Subject</em>: [SECURITY] Security support for Wheezy handed over to the LTS team</li>
-<li><em>From</em>: Markus Koschany &lt;<a href="mailto:apo%40debian.org">apo@debian.org</a>&gt;</li>
-<li><em>Date</em>: Mon, 25 Apr 2016 12:25:16 +0200</li>
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-As of 25 April, one year after the release of Debian 8, alias &quot;Jessie&quot;,
-and nearly three years after the release of Debian 7, alias &quot;Wheezy&quot;,
-regular security support for Wheezy comes to an end. The Debian Long
-Term Support (LTS) Team will take over security support.
-
-Information for users
-=====================
-
-Wheezy LTS will be supported from 26 April 2016 to 31 May 2018.
-
-For Debian 7 Wheezy LTS there will be no requirement to add a separate
-wheezy-lts suite to your sources.list any more and your current setup
-will continue to work without further changes.
-
-For how to use Debian Long Term Support please read
-
-	<a  rel="nofollow" href="https://wiki.debian.org/LTS/Using">https://wiki.debian.org/LTS/Using</a>
-
-Important information and changes regarding Wheezy LTS can be found at
-
-	<a  rel="nofollow" href="https://wiki.debian.org/LTS/Wheezy">https://wiki.debian.org/LTS/Wheezy</a>
-
-Most notably OpenJDK 7 will be made the new Java default JRE/JDK on 26
-June 2016 to ensure full security support until Wheezy LTS reaches its
-end-of-life.
-
-You should also subscribe to the announcement mailing list for
-security updates for Wheezy LTS:
-
-	<a  rel="nofollow" href="https://lists.debian.org/debian-lts-announce/">https://lists.debian.org/debian-lts-announce/</a>
-
-A few packages are not covered by the Wheezy LTS support. These can be
-detected by installing the debian-security-support package. If
-debian-security-support detects an unsupported package which is critical
-to you, please get in touch with debian-lts@lists.debian.org.
-
-
-Mailing lists
-=============
-
-The whole coordination of the Debian LTS effort is handled through the
-debian-lts mailing list:
-
-	 <a  rel="nofollow" href="https://lists.debian.org/debian-lts/">https://lists.debian.org/debian-lts/</a>
-
-Please subscribe or follow us via GMANE (gmane.linux.debian.devel.lts)
-
-Aside from the debian-lts-announce list, there is also a list for
-following all uploads in Wheezy LTS:
-
-	<a  rel="nofollow" href="https://lists.debian.org/debian-lts-changes/">https://lists.debian.org/debian-lts-changes/</a>
-
-
-Security Tracker
-================
-
-All information on the status of vulnerabilities (e.g. if the version in
-Wheezy LTS happens to be unaffected while Jessie is affected) will be
-tracked in the Debian Security Tracker:
-
-	<a  rel="nofollow" href="http://security-tracker.debian.org">http://security-tracker.debian.org</a>
-
-If you happen to spot an error in the data, please see
-
-	<a  rel="nofollow" href="https://security-tracker.debian.org/tracker/data/report">https://security-tracker.debian.org/tracker/data/report</a>
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-<li><em>Date</em>: Sat, 21 May 2016 20:51:57 +0200</li>
-<li><em>Message-id</em>: &lt;<A HREF="/msgid-search/5740AE4D.6000206@debian.org">[&#128270;]</a>&nbsp;<a href="msg00037.html">5740AE4D.6000206@debian.org</A>&gt;</li>
-<li><em>Mail-followup-to</em>: <a href="mailto:debian-lts%40lists.debian.org">debian-lts@lists.debian.org</a></li>
-<li><em>Reply-to</em>: <a href="mailto:debian-lts%40lists.debian.org">debian-lts@lists.debian.org</a></li>
-</ul>
-<!--X-Head-of-Message-End-->
-<!--X-Head-Body-Sep-Begin-->
-<hr>
-<!--X-Head-Body-Sep-End-->
-<!--X-Body-of-Message-->
-<pre>-----BEGIN PGP SIGNED MESSAGE-----
-Hash: SHA512
-
-Version        : 1.3.16-1.1+deb7u1
-CVE ID         : CVE-2015-8808 CVE-2016-2317 CVE-2016-2318
-		 CVE-2016-3714 CVE-2016-3715 CVE-2016-3716
-                 CVE-2016-3717 CVE-2016-3718
-Debian Bug     : 814732
-
-Several security vulnerabilities were discovered in graphicsmagick a
-tool to manipulate image files.
-
-GraphicsMagick is a fork of ImageMagick and also affected by
-vulnerabilities collectively known as ImageTragick, that are the
-consequence of lack of sanitization of untrusted input. An attacker
-with control on the image input could, with the privileges of the user
-running the application, execute code (CVE-2016-3714), make HTTP GET
-or FTP requests (CVE-2016-3718), or delete (CVE-2016-3715), move
-(CVE-2016-3716), or read (CVE-2016-3717) local files.
-
-To address these concerns the following changes have been made:
-
-1. Remove automatic detection/execution of MVG based on file header or
-   file extension.
-
-2. Remove the ability to cause an input file to be deleted based on a
-   filename specification.
-
-3. Improve the safety of delegates.mgk by removing gnuplot support,
-   removing manual page support, and by adding -dSAFER to all
-   ghostscript invocations.
-
-4. Sanity check the MVG image primitive filename argument to assure
-   that &quot;magick:&quot; prefix strings will not be interpreted.  Please note
-   that this patch will break intentional uses of magick prefix
-   strings in MVG and so some MVG scripts may fail. We will search
-   for a more flexible solution.
-
-In addition the following issues have been fixed:
-
-CVE-2015-8808
-    Assure that GIF decoder does not use unitialized data and cause an
-    out-of-bound read.
-
-CVE-2016-2317 and CVE-2016-2318
-    Vulnerabilities that allow to read or write outside memory bounds
-    (heap, stack) as well as some null-pointer derreferences to cause a
-    denial of service when parsing SVG files.
-
-For Debian 7 &quot;Wheezy&quot;, these problems have been fixed in version
-1.3.16-1.1+deb7u1.
-
-We recommend that you upgrade your graphicsmagick packages.
-
-Further information about Debian LTS security advisories, how to apply
-these updates to your system and frequently asked questions can be
-found at: <a  rel="nofollow" href="https://wiki.debian.org/LTS">https://wiki.debian.org/LTS</a>
-
-
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-  <li><a href="mailto:apo@debian.org?In-Reply-To=&lt;5740AE4D.6000206@debian.org&gt;&amp;Subject=Re:%20[SECURITY] [DLA 484-1] graphicsmagick security update&amp;CC=debian-lts-announce&#64;lists.debian.org">Markus Koschany (on-list)</a></li>
-  <li><a href="mailto:apo@debian.org?In-Reply-To=&lt;5740AE4D.6000206@debian.org&gt;&amp;Subject=Re:%20[SECURITY] [DLA 484-1] graphicsmagick security update">Markus Koschany (off-list)</a></li>
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-<ul>
-<li><em>To</em>: <a href="mailto:debian-lts-announce%40lists.debian.org">debian-lts-announce@lists.debian.org</a></li>
-<li><em>Subject</em>: [SECURITY] Debian 7 Wheezy LTS now supporting armel and armhf</li>
-<li><em>From</em>: Markus Koschany &lt;<a href="mailto:apo%40debian.org">apo@debian.org</a>&gt;</li>
-<li><em>Date</em>: Thu, 2 Jun 2016 10:42:00 +0200</li>
-<li><em>Message-id</em>: &lt;<A HREF="/msgid-search/e1dfc74c-ba18-b8df-2887-03708f9cfaaf@debian.org">[&#128270;]</a>&nbsp;<a href="msg00001.html">e1dfc74c-ba18-b8df-2887-03708f9cfaaf@debian.org</A>&gt;</li>
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-<pre>-----BEGIN PGP SIGNED MESSAGE-----
-Hash: SHA512
-
-Debian Long Term Support (LTS) is a project created to extend the life
-of all Debian stable releases to (at least) 5 years.
-
-Thanks to the LTS sponsors, Debian's buildd maintainers and the Debian
-FTP Team are excited to announce that two new architectures, armel and
-armhf, are going to be supported in Debian 7 Wheezy LTS. These
-architectures along with i386 and amd64 will receive two additional
-years of extended security support.
-
-Security updates for Debian LTS are not handled by the native Debian
-Security Team, but instead by a separate group of volunteers and
-companies interested in making it a success.
-
-Wheezy's LTS period started [1] a few weeks ago and more than fifty
-updates have been announced so far. If you use Debian 7 Wheezy, you do
-not need to change anything in your system to start receiving those
-updates.
-
-More information about how to use Debian Long Term Support and other
-important changes regarding Wheezy LTS is available at
-
-	<a  rel="nofollow" href="https://wiki.debian.org/LTS/Using">https://wiki.debian.org/LTS/Using</a>
-
-[1] <a  rel="nofollow" href="https://www.debian.org/News/2016/20160425">https://www.debian.org/News/2016/20160425</a>
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-
-<!-- MHonArc v2.6.19 -->
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-<!--X-Date: Sat, 15 Oct 2016 11:09:44 +0000 (UTC) -->
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-<title>[SECURITY] [DLA 655-1] mpg123 security update</title>
-<link rev="made" href="mailto:mejo@debian.org">
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-pre {
-  white-space: pre-wrap;
-}
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-<ul>
-<li><em>To</em>: <a href="mailto:debian-lts-announce%40lists.debian.org">debian-lts-announce@lists.debian.org</a></li>
-<li><em>Subject</em>: [SECURITY] [DLA 655-1] mpg123 security update</li>
-<li><em>From</em>: Jonas Meurer &lt;<a href="mailto:mejo%40debian.org">mejo@debian.org</a>&gt;</li>
-<li><em>Date</em>: Sat, 15 Oct 2016 13:09:14 +0200</li>
-<li><em>Message-id</em>: &lt;<A HREF="/msgid-search/bc563b69-2257-3978-6400-dc4ba05aae54@debian.org">[&#128270;]</a>&nbsp;<a href="msg00011.html">bc563b69-2257-3978-6400-dc4ba05aae54@debian.org</A>&gt;</li>
-<li><em>Mail-followup-to</em>: <a href="mailto:debian-lts%40lists.debian.org">debian-lts@lists.debian.org</a></li>
-<li><em>Reply-to</em>: <a href="mailto:debian-lts%40lists.debian.org">debian-lts@lists.debian.org</a></li>
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-<pre>-----BEGIN PGP SIGNED MESSAGE-----
-Hash: SHA256
-
-Several security vulnerabilities have been discovered in mpg123, an
-MPEG layer 1/2/3 audio decoder and player. An attacker could take
-advantage of these flaws to cause a denial of service against mpg123
-or applications using the libmpg123 library with a carefully crafted
-input file.
-
-CVE-2014-9497
-
-    Myautsai PAN discovered a flaw in the decoder initialization code
-    of libmpg123. A specially crafted mp3 input file can be used to
-    cause a buffer overflow, resulting in a denial of service.
-
-CVE-2016-1000247
-
-    Jerold Hoong discovered a flaw in the id3 tag processing code of
-    libmpg123. A specially crafted mp3 input file could be used to
-    cause a buffer over-read, resulting in a denial of service.
-
-For Debian 7 &quot;Wheezy&quot;, these problems have been fixed in version
-1.14.4-1+deb7u1.
-
-We recommend that you upgrade your mpg123 packages.
-
-Further information about Debian LTS security advisories, how to apply
-these updates to your system and frequently asked questions can be
-found at: <a  rel="nofollow" href="https://wiki.debian.org/LTS">https://wiki.debian.org/LTS</a>
-
-- -- 
-Jonas Meurer
-
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-  <li><a href="mailto:mejo@debian.org?In-Reply-To=&lt;bc563b69-2257-3978-6400-dc4ba05aae54@debian.org&gt;&amp;Subject=Re:%20[SECURITY] [DLA 655-1] mpg123 security update&amp;CC=debian-lts-announce&#64;lists.debian.org">Jonas Meurer (on-list)</a></li>
-  <li><a href="mailto:mejo@debian.org?In-Reply-To=&lt;bc563b69-2257-3978-6400-dc4ba05aae54@debian.org&gt;&amp;Subject=Re:%20[SECURITY] [DLA 655-1] mpg123 security update">Jonas Meurer (off-list)</a></li>
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-[]
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-[]
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-Package        : ejabberd
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-Package        : python-django
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-Package        : libdatetime-timezone-perl
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-Package        : logback
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-Package        : ghostscript
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-Package        : firefox-esr
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-Package        : libcroco
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-Package        : minicom
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-Package        : activemq
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-Package        : botan1.10
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-Package        : mysql-5.5
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-Package        : rtmpdump
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-Package        : freetype
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-Package        : weechat
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-Package        : linux
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-Package        : kedpm
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-Package        : libsndfile
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-[]
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-Package        : libxstream-java
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-[]
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-[]
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-[]
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-Package        : ghostscript
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-Package        : firefox-esr
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-Package        : faad2
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-Package        : gnupg
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-Opening url: https://lists.debian.org/debian-lts-announce/2017/08/msg00031.html
-
-Package        : imagemagick
-imagemagick
-Opening url: https://lists.debian.org/debian-lts-announce/2017/08/msg00032.html
-
-Package        : mercurial
-mercurial
-Opening url: https://lists.debian.org/debian-lts-announce/2017/08/msg00033.html
-
-Package        : libdbd-mysql-perl
-libdbd-mysql-perl
-Opening url: https://lists.debian.org/debian-lts-announce/2017/08/msg00034.html
-
-Package        : graphicsmagick
-graphicsmagick
-Opening url: https://lists.debian.org/debian-lts-announce/2017/08/msg00035.html
-
-Package        : openexr
-openexr
-Opening url: https://lists.debian.org/debian-lts-announce/2017/08/msg00036.html
-
-[]
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00000.html
-
-Package        : libidn
-libidn
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00001.html
-
-Package        : libidn2-0
-libidn2-0
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00002.html
-
-Package        : enigmail
-enigmail
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00003.html
-
-Package        : irssi
-irssi
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00004.html
-
-Package        : irssi
-irssi
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00005.html
-
-Package        : icedove
-icedove
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00006.html
-
-Package        : tcpdump
-tcpdump
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00007.html
-
-Package        : unrar-free
-unrar-free
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00008.html
-
-Package        : icedove
-icedove
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00009.html
-
-Package        : libarchive
-libarchive
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00010.html
-
-Package        : tiff
-tiff
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00011.html
-
-Package        : tiff3
-tiff3
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00012.html
-
-Package        : freerdp
-freerdp
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00013.html
-
-Package        : wordpress-shibboleth
-wordpress-shibboleth
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00014.html
-
-Package        : tcpdump
-tcpdump
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00015.html
-
-Package        : freexl
-freexl
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00016.html
-
-Package        : gdk-pixbuf
-gdk-pixbuf
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00017.html
-
-Package        : linux
-linux
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00018.html
-
-Package        : emacs23
-emacs23
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00019.html
-
-Package        : apache2
-apache2
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00020.html
-
-Package        : bluez
-bluez
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00021.html
-
-Package        : newsbeuter
-newsbeuter
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00022.html
-
-Package        : libgd2
-libgd2
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00023.html
-
-Package        : clamav
-clamav
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00024.html
-
-Package        : bzr
-bzr
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00025.html
-
-Package        : tomcat7
-tomcat7
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00026.html
-
-Package        : libraw
-libraw
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00027.html
-
-Package        : samba
-samba
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00028.html
-
-Package        : weechat
-weechat
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00029.html
-
-Package        : ruby1.9.1
-ruby1.9.1
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00030.html
-
-Package        : ruby1.8
-ruby1.8
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00031.html
-
-Package        : rubygems
-rubygems
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00032.html
-
-Package        : debsecan
-debsecan
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00033.html
-
-Package        : poppler
-poppler
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00034.html
-
-Package        : opencv
-opencv
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00035.html
-
-Package        : firefox-esr
-firefox-esr
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00036.html
-
-Package        : otrs2
-otrs2
-Opening url: https://lists.debian.org/debian-lts-announce/2017/09/msg00037.html
-
-[]
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00000.html
-
-Package        : git
-git
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00001.html
-
-Package        : curl
-curl
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00002.html
-
-Package        : asterisk
-asterisk
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00003.html
-
-Package        : golang
-golang
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00004.html
-
-Package        : dnsmasq
-dnsmasq
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00005.html
-
-Package        : botan1.10
-botan1.10
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00006.html
-
-Package        : libxfont
-libxfont
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00007.html
-
-Package        : sam2p
-sam2p
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00008.html
-
-Package        : qemu-kvm
-qemu-kvm
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00009.html
-
-Package        : qemu
-qemu
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00010.html
-
-Package        : imagemagick
-imagemagick
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00011.html
-
-Package        : xen
-xen
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00012.html
-
-Package        : sdl-image1.2
-sdl-image1.2
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00013.html
-
-Package        : db
-db
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00014.html
-
-Package        : db4.8
-db4.8
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00015.html
-
-Package        : db4.7
-db4.7
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00016.html
-
-Package        : graphicsmagick
-graphicsmagick
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00017.html
-
-Package        : nss
-nss
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00018.html
-
-Package        : imagemagick
-imagemagick
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00019.html
-
-Package        : mysql-5.5
-mysql-5.5
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00020.html
-
-Package        : ming
-ming
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00021.html
-
-Package        : libav
-libav
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00022.html
-
-Package        : curl
-curl
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00023.html
-
-Package        : mosquitto
-mosquitto
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00024.html
-
-Package        : zoneminder
-zoneminder
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00025.html
-
-Package        : exiv2
-exiv2
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00026.html
-
-Package        : git-annex
-git-annex
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00027.html
-
-Package        : golang
-golang
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00028.html
-
-Package        : wget
-wget
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00029.html
-
-Package        : wpa
-wpa
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00030.html
-
-Package        : quagga
-quagga
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00031.html
-
-Package        : wordpress
-wordpress
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00032.html
-
-Package        : graphicsmagick
-graphicsmagick
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00033.html
-
-Package        : tzdata
-tzdata
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00034.html
-
-Package        : libdatetime-timezone-perl
-libdatetime-timezone-perl
-Opening url: https://lists.debian.org/debian-lts-announce/2017/10/msg00035.html
-
-[]
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00000.html
-
-Package        : thunderbird
-thunderbird
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00001.html
-
-Package        : bchunk
-bchunk
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00002.html
-
-Package        : graphicsmagick
-graphicsmagick
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00003.html
-
-Package        : wordpress
-wordpress
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00004.html
-
-Package        : redis
-redis
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00005.html
-
-Package        : apr
-apr
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00006.html
-
-Package        : apr-util
-apr-util
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00007.html
-
-Package        : mupdf
-mupdf
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00008.html
-
-Package        : libpam4j
-libpam4j
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00009.html
-
-Package        : tomcat7
-tomcat7
-Opening url: https://lists.debian.org/debian-lts-announce/2017/11/msg00010.html
-
-[]
-Opening url: https://lists.debian.org/debian-lts-announce/2017/12/msg00000.html
-
-Opening url: https://lists.debian.org/debian-lts-announce/2017/12/msg00001.html
-
-Opening url: https://lists.debian.org/debian-lts-announce/2017/12/msg00002.html
-
-[]
-{'2014,0': [], '2014,1': [], '2014,2': [], '2014,3': [], '2014,4': [], '2014,5': [], '2014,6': [], '2014,7': [], '2014,8': [], '2014,9': [], '2014,10': [], '2014,11': [], '2014,12': [], '2015,0': [], '2015,1': [], '2015,2': [], '2015,3': [], '2015,4': [], '2015,5': [], '2015,6': [], '2015,7': [], '2015,8': [], '2015,9': [], '2015,10': [], '2015,11': [], '2015,12': [], '2016,0': [], '2016,1': [], '2016,2': [], '2016,3': [], '2016,4': [], '2016,5': [], '2016,6': [], '2016,7': [], '2016,8': [], '2016,9': [], '2016,10': [], '2016,11': [], '2016,12': [], '2017,0': [], '2017,1': [], '2017,2': [], '2017,3': [], '2017,4': [], '2017,5': [], '2017,6': [], '2017,7': [], '2017,8': [], '2017,9': [], '2017,10': [], '2017,11': [], '2017,12': []}

lstm_reg.py

@@ -2,6 +2,7 @@ import numpy
 import matplotlib.pyplot as plt
 import pandas
 import math
+from keras import backend as K
 from keras.models import Sequential
 from keras.layers import Dense
 from keras.layers import LSTM
@@ -16,7 +17,7 @@ numpy.random.seed(7)
 # ATTENTION: THIS FUNCTION CHANGES SIZE OF INPUT
 def create_dataset(original_dataset, dataset, meta, num_steps, look_back=1):
     dataX, dataY = [], []
-    for i in range(len(dataset)-look_back-1-num_steps):
+    for i in range(len(dataset)-look_back-num_steps):
                 a = []
                 for j in range(i, i+look_back):
                     #a.append([dataset[j]] + meta)
@@ -34,8 +35,9 @@ def create_dataset(original_dataset, dataset, meta, num_steps, look_back=1):
 def calc_waverage(raw_av, lamda_w):
     w_average = 0
     weights = 0
-    if(len(raw_av) == 0):
+    if(raw_av.size == 0):
         w_average = 0
+        return w_average
     else:
         jj = 0
         for j in raw_av:
@@ -44,9 +46,175 @@ def calc_waverage(raw_av, lamda_w):
             jj += 1
     
 
-    w_average = w_average/weights
+    try:
+        w_average = w_average/weights
+    except ZeroDivisionError:
+        print('Error:', raw_av)
     return w_average
 
+def normalizer(src2month, pkg, smoothing, num_steps):
+    time_series = src2month[pkg]
+    time_series = pandas.rolling_mean(time_series, window=smoothing)
+    time_series = time_series[smoothing:]
+    #print(len(time_series))
+    #print(time_series)
+
+    i = 0
+    for month in time_series:
+        if(numpy.isclose(month,0)):
+            #print(str(month))
+            i += 1
+        else:
+            break
+
+    #print(str(i))
+
+    try:
+        max_value = numpy.amax(time_series[i:-12])*9
+        min_value = numpy.amin(time_series[i:-12])*9
+    except ValueError:
+        max_value = 0
+        min_value = 0
+
+    norm = max_value-min_value
+    if(norm<1):
+        norm = 1
+
+    return(norm)
+
+def calcf(fvalues, src2month):
+    vulns20152016 = dict()
+    total_top = 0
+    number_top = 20
+    total_low = 0
+    number_low = 0
+
+    for pkg in src2month:
+        vulns20152016[pkg] = sum(src2month[pkg][-36:-12])
+    
+    vulnslist = vulns20152016.items()
+
+    newlist = sorted(vulnslist, key=lambda k: k[1], reverse=True)
+    cutoff_value = newlist[number_top][1]
+    print('Cutoff value: ' + str(cutoff_value))
+
+    for pkg in vulns20152016:
+        if vulns20152016[pkg]>cutoff_value:
+            total_top += vulns20152016[pkg]
+        elif vulns20152016[pkg]<cutoff_value and vulns20152016[pkg]>0:
+            total_low += vulns20152016[pkg]
+            number_low += 1
+
+    average_top_9month = (total_top/number_top)*9/24
+    r_top = 1.05*(average_top_9month/(9*30*4))
+    average_low_9month = (total_low/number_low)*9/24
+    r_low = 1.05*(average_low_9month/(9*30*4))
+
+    for pkg in vulns20152016:
+        if vulns20152016[pkg]>cutoff_value:
+            fvalues[pkg] = 1-r_top
+        else:
+            fvalues[pkg] = 1-r_low
+
+
+
+
+
+def test_model(pkg_name, src2month, model_file, totalX, totalY, scaler, num_steps, smoothing, batch_num, lamda_w, reality_list, prediction_lstm, prediction_ave, prediction_wave, prediction_last):
+    model = load_model('./models/' + pkg_name + '-' + str(num_steps) + 'smoothing' + str(smoothing) + str(model_file) + '.h5')
+    model.reset_states()
+    totalPredict = model.predict(totalX[18:], batch_size = batch_num)
+    #model.reset_states()
+    
+    totalPredict = scaler.inverse_transform(totalPredict)
+    totalPredict = totalPredict.flatten()
+    totalY = totalY[18:]
+    totalY = totalY.reshape(-1,1)
+    totalY = scaler.inverse_transform(totalY)
+    totalY = totalY.flatten()
+                
+    trainPredict = totalPredict[:-10]
+    evaluatePredict = totalPredict[-10]
+    testPredict = totalPredict[-1]
+    model.reset_states()
+                
+    evaluation = evaluatePredict*9
+    if(evaluation<0):
+        evaluation = 0
+    prediction = testPredict*9
+    if(prediction<0):
+        prediction = 0
+
+    evaluation_reality = sum(src2month[pkg_name][-21:-12])
+    reality = sum(src2month[pkg_name][-12:-3])
+    if(reality==0):
+        normalizer = 1
+    else:
+        normalizer=reality
+                
+    evaluationerror = evaluation_reality - evaluation
+                
+
+
+    testerror = (reality - prediction)/normalizer
+    print('#' * 80)
+    print(pkg_name)
+    print('prediction: ' + str(prediction))
+    print('reality: ' + str(totalY[-1]*9) + ' = ' + str(reality))
+    print('Normalized error: ' + str(testerror))
+    print('Validation error: ' + str(evaluationerror))
+
+
+    # Plot
+    plt.plot(totalY, color='blue')
+    plt.plot(totalPredict, color='red')
+    plt.show()
+                
+    ## Calculate average for comparison
+    raw_av = src2month[pkg_name]
+    i = 0
+    max_value = 0
+    min_value = 0
+    for month in raw_av:
+        if(month == 0):
+            i += 1
+
+        average = sum(raw_av[i:-13])/len(raw_av[i:-13])
+        average_error = (reality-average)/normalizer
+        w_average = calc_waverage(raw_av[i:-13], lamda_w)
+        w_average_error = (reality-w_average)/normalizer
+        
+        last = sum(raw_av[-22:-13])
+        last_error = (reality-last)/normalizer
+                
+        print(average*9)
+        print(w_average*9)
+        print(last)
+        print('#' * 80)
+                
+        reality_list.append(reality)
+        prediction_lstm.append(prediction)
+        prediction_ave.append(average)
+        prediction_wave.append(w_average)
+        prediction_last.append(last)
+        #if(not numpy.isinf(testerror)):
+        #    if(testerror>1):
+        #        testerror=1.0
+        #    if(average_error>1):
+        #        average_error=1.0
+        #    if(w_average_error>1):
+        #        w_average_error=1.0
+        #    if(last_error>1):
+        #        last_error=1.0
+        #    total_error += numpy.absolute(testerror)
+        #    total_ave_error += numpy.absolute(average_error)
+        #    total_wave_error += numpy.absolute(w_average_error)
+        #    total_last_error += numpy.absolute(last_error)
+        #    num_packages += 1
+
+        return(prediction, reality, testerror, evaluationerror, evaluation, evaluation_reality)
+
+
 
 def predict(src2month, src2sloccount, src2pop, src2deps):
     
@@ -54,18 +222,17 @@ def predict(src2month, src2sloccount, src2pop, src2deps):
     feat_num = 1
     
     ## Model parameters
-    do_train = True
+    do_train = False
+    do_test = True
+    models_num = 5
     num_steps = 9
     smoothing = num_steps
     num_neurons = 10
     look_back = 3
-    train_flag = True
-    test_flag = True
     lamda_w = 12
     init_test_size = 18
 
     pkg_num = len(src2month)
-    training_num = len(src2month['linux']-4)
 
     trainXdict = dict()
     trainYdict = dict()
@@ -74,13 +241,13 @@ def predict(src2month, src2sloccount, src2pop, src2deps):
 
     train_size = int(len(src2month['linux']) - init_test_size)
     test_size = len(src2month['linux']) - train_size
-    batch_num = train_size - num_steps - look_back - smoothing - 5
+    batch_num = train_size - num_steps - look_back - smoothing - 2
     print("batch_num:")
     print(batch_num)
     
     # create the LSTM network
     model = Sequential()
-    model.add(LSTM(num_neurons, batch_input_shape = (batch_num, look_back, feat_num) , activation ='relu', dropout_W=0.5, stateful=True))
+    model.add(LSTM(num_neurons, batch_input_shape = (batch_num, look_back, feat_num) , activation ='relu', dropout=0.5, stateful=True))
 #    model.add((keras.layers.0, recurrent_dropout=0.4, implementation=1, return_sequences=False, return_state=False, go_backwards=False, stateful=True, unroll=False))
 #    model.add(Dense(32, activation='relu'))
 #    model.add(Dense(16, activation='relu'))
@@ -118,37 +285,39 @@ def predict(src2month, src2sloccount, src2pop, src2deps):
 
     flag = True
 ###################################################################################################    
-#    for pkg_name in ['chromium-browser']:
-    for i in range(1):
+    for i in range(models_num):
 
 #        for pkg_name in ['chromium-browser', 'firefox-esr', 'linux']:
         for pkg_name in src2month:
             pkg_num = len(src2month)
+            
             dataset = src2month[pkg_name]
-            dataset = dataset[:len(dataset)-4]
-            print(dataset.shape)
+            dataset = dataset[:len(dataset)-2]
             dataset = dataset.reshape(-1,1)
             scaler.fit(dataset)
-            print(dataset.shape)
             dataset = dataset.flatten()
+#
+            original_dataset = dataset
+            dataset = pandas.rolling_mean(dataset, window=smoothing)
+            original_dataset = original_dataset[smoothing:]
+            dataset = dataset[smoothing:]
+            dataset = dataset.reshape(-1,1)
+            dataset = scaler.transform(dataset)
+            dataset = dataset.flatten()
+            
+            total_sum = sum(original_dataset)
+            original_dataset = original_dataset.reshape(-1,1)
+            original_dataset = scaler.transform(original_dataset)
+            original_dataset = original_dataset.flatten()
+
             print(dataset.shape)
             print(len(dataset))
-#
-            if (sum(dataset)>30):
+            
+            if (total_sum>80):
 #               reset or not between training
                 model.set_weights(Wsave)
-                original_dataset = dataset
-                dataset = pandas.rolling_mean(dataset, window=smoothing)
                 ## ommit for rolling mean
-                original_dataset = original_dataset[smoothing:]
-                dataset = dataset[smoothing:]
                 # normalize the dataset
-                dataset = dataset.reshape(-1,1)
-                dataset = scaler.transform(dataset)
-                dataset = dataset.flatten()
-                original_dataset = original_dataset.reshape(-1,1)
-                original_dataset = scaler.transform(original_dataset)
-                original_dataset = original_dataset.flatten()
 
                 train_size = len(dataset) - init_test_size
                 test_size = len(dataset) - train_size
@@ -185,25 +354,13 @@ def predict(src2month, src2sloccount, src2pop, src2deps):
                 trainY.reshape(-1,1)
                 testY.reshape(-1,1)
 
-                #if len(total_trainX) == 0:
-                #    total_trainX = trainX
-                #    total_trainY = trainY
-                #else:
-                #    total_trainX = numpy.concatenate((total_trainX, trainX))
-                #    total_trainY = numpy.concatenate((total_trainY, trainY))
-
-                # save to dict for later
-                trainXdict[pkg_name], trainYdict[pkg_name] = trainX, trainY
-                testXdict[pkg_name], testYdict[pkg_name] = testX, testY
-
-    
                 # fit the LSTM network
                 if do_train:
-                    for i in range (20000):
+                    for j in range (10000):
                         model.fit(trainX, trainY, nb_epoch=1, batch_size=len(trainX), verbose=2, shuffle=False)
                         model.reset_states()
                     try:
-                        model.save('./models/' + pkg_name + '-' + str(num_steps) + 'smoothing' + str(smoothing) + '.h5')
+                        model.save('./models/' + pkg_name + '-' + str(num_steps) + 'smoothing' + str(smoothing) + str(i) + '.h5')
                     except OSError:
                         model.save('./models/unknown-' + str(num_steps) + 'smoothing' + str(smoothing) + '.h5')
                 #else:    
@@ -223,183 +380,99 @@ def predict(src2month, src2sloccount, src2pop, src2deps):
 
 #    for pkg_name in ['chromium-browser', 'firefox-esr', 'linux']:
 #    for pkg_name in ['libpng']:
+    reality_list = []
+    prediction_lstm = []
+    prediction_ave = []
+    prediction_wave = []
+    prediction_last = []
+    num_packages = 0
+    select_best = False
+
+    fvalues = dict()
+
+    calcf(fvalues,src2month)
+
     for pkg_name in src2month:
             
+        
         dataset = src2month[pkg_name]
-        dataset = dataset[:len(dataset)-4]
+        dataset = dataset[:len(dataset)-2]
         dataset = dataset.reshape(-1,1)
         scaler.fit(dataset)
         dataset = dataset.flatten()
-        if (sum(dataset)>30 and test_flag):
-            dataset = pandas.rolling_mean(dataset, window=smoothing)
-            
-            #if (sum(dataset)>80):
-            model = load_model('./models/' + pkg_name + '-' + str(num_steps) + 'smoothing' + str(smoothing) + '.h5')
-            #else:
-            #    model = load_model('./models/low_together' + '-' + str(num_steps) + 'smoothing' + str(smoothing) + '.h5')
-
-            dataset = dataset[smoothing:]
-            model.reset_states()
-            
-            trainX, trainY = trainXdict[pkg_name], trainYdict[pkg_name]
-            testX, testY = testXdict[pkg_name], testYdict[pkg_name]
-            print(trainX.shape, trainY.shape, testX.shape, testY.shape)
 #
+        original_dataset = dataset
+        dataset = pandas.rolling_mean(dataset, window=smoothing)
+        original_dataset = original_dataset[smoothing:]
+        dataset = dataset[smoothing:]
+        dataset = dataset.reshape(-1,1)
+        dataset = scaler.transform(dataset)
+        dataset = dataset.flatten()
 
-            # normalize the dataset
-            dataset = dataset.reshape(-1,1)
-            dataset = scaler.transform(dataset)
-            dataset = dataset.flatten()
-
-            print(numpy.shape(trainX), numpy.shape(testX), numpy.shape(dataset))
-
-            # make predictions
-            trainPredict = model.predict(trainX, batch_size = batch_num)
-            model.reset_states()
-
-            test_dataset = numpy.concatenate((trainX[len(testX):], testX))
-            testPredict = model.predict(test_dataset, batch_size = batch_num)
-            model.reset_states()
-
+        total_sum = sum(original_dataset)
 
-            # invert predictions
-            testPredict = testPredict[-len(testX):]
+        original_dataset = original_dataset.reshape(-1,1)
+        original_dataset = scaler.transform(original_dataset)
+        original_dataset = original_dataset.flatten()
+        
+        if (total_sum>100 and do_test):
 
-            trainPredict = trainPredict.reshape(-1,1)
-            trainPredict = scaler.inverse_transform(trainPredict)
-            trainPredict = trainPredict.flatten()
-            
-            trainY = trainY.reshape(-1,1)
-            trainY = scaler.inverse_transform(trainY)
-            trainY = trainY.flatten()
-
-            testPredict = testPredict.reshape(-1,1)
-            testPredict = scaler.inverse_transform(testPredict)
-            testPredict = testPredict.flatten()
-            print('shapes coming')
-            print(testY.shape)
-            testY = testY.reshape(-1,1)
-            testY = scaler.inverse_transform(testY)
-            testY = testY.flatten()
-            print(testY.shape)
+            best_model = 0
+            best_error = 100.0
+            totalX, totalY = create_dataset(original_dataset, dataset, meta, num_steps, look_back)
             
-            ## Calculate average for comparison
+            if select_best:
+                for i in range(5):
+                    
+                    (prediction, reality, testerror, evaluationerror, evaluation, evaluation_reality) = test_model(pkg_name, src2month, i, totalX, totalY, scaler, num_steps, smoothing, batch_num, lamda_w, reality_list, prediction_lstm, prediction_ave, prediction_wave, prediction_last)
+                    if(evaluationerror<best_error):
+                        best_model = i
+                        best_error = evaluationerror
+
+               
+
+                model = load_model('./models/' + pkg_name + '-' + str(num_steps) + 'smoothing' + str(smoothing) + str(best_model) + '.h5')
+                model.save('./models/' + pkg_name + '-' + str(num_steps) + 'smoothing' + str(smoothing) + 'best' + '.h5')
+                K.clear_session()
+
+            (prediction, reality, testerror, evaluationerror, evaluation, evaluation_reality) = test_model(pkg_name, src2month, 'best', totalX, totalY, scaler, num_steps, smoothing, batch_num, lamda_w, reality_list, prediction_lstm, prediction_ave, prediction_wave, prediction_last)
+            normalizer_value = normalizer(src2month, pkg_name, smoothing, num_steps)
+            certainty = 1-numpy.absolute(evaluationerror/normalizer_value)
+            if(certainty<0.1):
+                certainty=0.1
+
+            print(str(normalizer_value))
+
+            # Plot
+            #plt.plot(totalY, color='blue')
+            #plt.plot(totalPredict, color='red')
+            #plt.show()
+
+            target2.write(pkg_name + ':' + str(prediction) + ':' + str(reality) + ':' + str(certainty) + ':' + str(evaluationerror) + ':' + str(evaluation) + ':' + str(evaluation_reality) + ':' + str(fvalues[pkg_name]) + '\n')
+            K.clear_session()
+        else:
             raw_av = src2month[pkg_name]
-            raw_av = raw_av[:len(dataset)-4]
+            reality = sum(src2month[pkg_name][-12:-3])
             i = 0
-
-            averagear = numpy.empty_like(trainY)
-            w_averagear = numpy.empty_like(trainY)
-
-            averagear[0] = 0
-            w_averagear[0] = 0
-
-            for i in range(1,len(averagear)):
-                averagear[i] = sum(raw_av[:i])/float(i)
-                w_averagear[i] = calc_waverage(raw_av[:i], lamda_w)
-
-            averagear_test = numpy.empty_like(testY)
-            w_averagear_test = numpy.empty_like(testY)
-
-            for i in range(0, len(averagear_test)):
-                averagear_test[i] = sum(raw_av[:len(averagear) + i])/float(len(averagear) + i)
-                w_averagear_test[i] = calc_waverage(raw_av[:len(averagear+i)], lamda_w)
-
-            print(pkg_name)
-            #print('average: ' + str(num_steps*average) + '\nweighted average: ' + str(num_steps*w_average))
-
-            ## calculate root mean squared error
-            # LSTM
-            trainScore = math.sqrt(mean_squared_error(trainY[-9:], trainPredict[-9:]))
-            #print('Train Score: %.2f RMSE' % (trainScore))
-            testScore = math.sqrt(mean_squared_error(testY, testPredict))
-            #print('Test Score: %.2f RMSE' % (testScore))
-
-            # Average
-            trainScore_average = math.sqrt(mean_squared_error(trainY[-9:], averagear[-9:]))
-            testScore_average = math.sqrt(mean_squared_error(testY, averagear_test))
-            trainScore_w_average = math.sqrt(mean_squared_error(trainY[-9:], w_averagear[-9:]))
-            testScore_w_average = math.sqrt(mean_squared_error(testY, w_averagear_test))
-
-            # Immitation
-            imit_train = numpy.copy(trainY)
-            imit_train = imit_train[:-1]
-            #print(imit_train)
-            trainY_im = trainY[1:]
-            #print(trainY_im)
-            
-            imit_test = numpy.copy(testY)
-            imit_test = imit_test[:-1]
-            testY_im = testY[1:]
-            trainScore_imit = math.sqrt(mean_squared_error(trainY_im, imit_train))
-            testScore_imit = math.sqrt(mean_squared_error(testY_im, imit_test))
-
-
-            # Calculate nrmse for certainty
-            nmax_train = numpy.amax(trainY[-24:])
-            nmin_train = numpy.amin(trainY[-24:])
-            nmax_test = numpy.amax(testY)
-            nmin_test = numpy.amin(testY)
-            nmax = 0
-            nmin = 0
-            if(nmax_train > nmax_test):
-                nmax = nmax_train
-            else:
-                nmax = nmax_test
-            
-            if(nmin_train < nmin_test):
-                nmin = nmin_train
-            else:
-                nmin = nmin_test
-            
-            normalizer = nmax - nmin
-            print('nmax: ' + str(nmax) + ' , nmin: ' + str(nmin) + ' , normalizer: ' + str(normalizer))
-            # plot baseline and predictions
-            #print(numpy.shape(trainY), numpy.shape(testY))
-            #print(numpy.shape(trainPredict), numpy.shape(testPredict))
-            real_values = numpy.concatenate((trainY, testY), axis=0)
-            training_fit = numpy.empty_like(real_values)
-            training_fit[:] = numpy.nan
-            training_fit[:len(trainPredict)] = trainPredict
-            prediction = numpy.empty_like(real_values)
-            prediction[:] = numpy.nan
-            prediction[len(trainPredict):] = testPredict
+            max_value = 0
+            min_value = 0
+            for month in raw_av:
+                if(month == 0):
+                    i += 1
             
-            
-            print('Actual number of vulnerabilities - next ' + str(num_steps) + ' months :' + str(real_values[-1]*num_steps))
-            act = real_values[-1]*num_steps
-            print('Predicted number of vulnerabilities - next ' + str(num_steps) + ' months :' + str(prediction[-1]*num_steps))
-            lstm_pred = prediction[-1]*num_steps
-            av_pred = averagear_test[-1]*num_steps
-            w_av_pred = w_averagear_test[-1]*num_steps
-            #print(real_values)
-
-            plt.plot(real_values)
-            plt.plot(training_fit)
-            plt.plot(prediction)
-            plt.show()
-            
-            ## Caclulate better predictor
-            best = -1
-            min_test_error = min(testScore, testScore_average, testScore_w_average)
-            if min_test_error == testScore:
-                best = 0
-            elif min_test_error == testScore_average:
-                best = 1
-            elif min_test_error == testScore_w_average:
-                best = 2
+            w_average = calc_waverage(raw_av[i:-13], lamda_w)
+            normalizer_value = normalizer(src2month, pkg_name, smoothing, num_steps)
+            certainty = 0.95
+            target2.write(pkg_name + ':' + str(w_average) + ':' + str(reality) + ':' + str(certainty) + ':' + 'na' + ':' + 'na' + ':' + 'na' + ':' + str(fvalues[pkg_name]) + '\n')
 
-            print("LSTM rmse: " + str(testScore))
-            print("Average rmse: " + str(testScore_average))
-            print("Weighted average rmse: " + str(testScore_w_average))
 
 
 
-        
-#            ## Write to file
-            #target.write(pkg_name + ', ' + str(prediction[-1]*num_steps) + ', ' +str(real_values[-1]*num_steps) + ', ' + str(nrmse_train) + ', ' + str(nrmse_test) + ', ' + str(num_steps*average) + ', ' + str(num_steps*w_average) + ', ' + str(best) + '\n')
-#            if(actual != 0):
-#                norm_diff = abs(actual-predicted)/actual
-#            else:
-#                norm_diff = actual-predicted
-            target2.write(pkg_name + ',' + str(normalizer) + ',' + str(trainScore/normalizer) + ',' + str(trainScore_average/normalizer) + ',' + str(trainScore_w_average/normalizer) + ',' + str(best) + ', ' + str(len(trainY)) + ', ' + str(len(testY)) + ', ' + str(act) + ', ' + str(lstm_pred) + ', ' + str(av_pred) + ', ' + str(w_av_pred) + '\n')
+    mean_error = math.sqrt(mean_squared_error(prediction_lstm, reality_list))
+    mean_ave_error = math.sqrt(mean_squared_error(prediction_ave, reality_list))
+    mean_wave_error = math.sqrt(mean_squared_error(prediction_wave, reality_list))
+    mean_last_error = math.sqrt(mean_squared_error(prediction_last, reality_list))
+    print(mean_error)
+    print(mean_ave_error)
+    print(mean_wave_error)
+    print(mean_last_error)