Merge branch 'main' of git.mineau.eu:these-ammii/thesis

5_theseus/4_results.typ

@@ -108,7 +108,7 @@ The remaining #num(nb_bytecode_collected - nb_google - nb_appsflyer - nb_faceboo
   caption: [Most common dynamically loaded files]
 ) <tab:th-bytecode-hashes>
 
-=== Impact on Analysis Tools Finishing Rate
+=== Impact on Analysis Tools
 
 Unfortunately, our implementation of the transformation is imperfect and does fails some time.
 Over the #num(dyn_res.all.nb - dyn_res.all.nb_failed), #num(nb_patched) were patched.
@@ -136,6 +136,24 @@ We run the tools on the #APK before and after patching, and compared the finishi
 
 #jfl-note[Combien d'app tranforme? on parle des 888? on fait les 2 tranformation sur chaque apk? ca reussit tout le temps?]
 
+#todo[Finish @tab:th-compare-cg]
+#figure({
+  let nb_col = 3
+  table(
+    columns: (2fr, 2fr, 1fr),
+    table.header(
+      //[SHA 256], [Original CG edges], [New CG edges], [Edges added], [Reflection edges added],
+      [SHA 256], [CG Edges added], [Reflection edges added],
+    ),
+    ..compared_callgraph.map(
+      //(e) => ([#lower(e.sha256).slice(0, 10)...], num(e.edges_before), num(e.edges_after), num(e.added), num(e.added_ref_only))
+      (e) => ([#lower(e.sha256).slice(0, 10)...], [#num(e.added) #h(.5em) #text(fill: luma(75))[(#num(e.edges_after) - #num(e.edges_before))]], num(e.added_ref_only))
+    ).flatten(),
+    [#lower("5D2CD1D10ABE9B1E8D93C4C339A6B4E3D75895DE1FC49E248248B5F0B05EF1CE").slice(0, 10)...], table.cell(colspan: nb_col - 1)[Instrumentation Crached]
+  )},
+  caption: []
+) <tab:th-compare-cg>
+
 === Example
 
 We use on our approach on a small #APK.

5_theseus/X_var.typ

@@ -100,6 +100,20 @@
   (1, "0a446677e3eb0e015827f3d2d67df23ed9042e436bb5bab5cc9fae961e20600f", "", DEX),
 )
 
+#let compared_callgraph = csv(
+  bytes("sha256,edges_before,edges_after,added,added_ref_only
+0019D7FB6ADDA0619C0BEFC8DE53E2E59139B3BC0DE62E30BB0E2AB5B2C6D79D,641,60170,59529,1
+274B677449ACB313396C833475183E384D69C611F5FCA0DFCA4E415FB057C012,537613,540674,3061,26
+34599C24994658C0FE3D40A67E655584AF657408C803595B771DCAC58A6A7F02,336740,339616,2876,29
+35065C683441E62C59C0DA0D86E6793256E33E54834E22AD0F70F44C99419E2F,343245,346694,3449,26
+E7B2FB02FF14706D989BE662CEE89954FD49CFBAB3CEEE449CD215188EECA433,464642,465389,747,91
+EFECECC03CBD7EE7B73F80CCB2ABD6A5F59C7E33150D336AD7BF8601CFB9A4EF,243647,243925,278,23
+F34CE1E7A81F935A5BB2D0B2B3FE81E62C1C8B906C92253C9CA467DA9BB3C9D1,704095,706576,2481,28
+"),
+// 5D2CD1D10ABE9B1E8D93C4C339A6B4E3D75895DE1FC49E248248B5F0B05EF1CE,,,,
+  row-type: dictionary
+)
+
 // #let nb_bytecode_collected = 640
 #let nb_bytecode_collected = bytecode_hashes.map((e) => e.at(0)).sum()
 #let nb_google = bytecode_hashes.filter((e) => "google" in e.at(2)).map((e) => e.at(0)).sum()