Accepting request 309667 from devel:tools

afl 1.80b

OBS-URL: https://build.opensuse.org/request/show/309667
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/afl?expand=0&rev=11

afl-1.78b.tgz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:24e21fd65de0840128b728e8a02077a3d65440948d25cddb3517c02f4aa38288
-size 796670

afl-1.80b.tgz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e042cfe30d03ef6df3ae92619408e236d1a8e9bb6cf94ca107c4519e23161401
+size 797509

afl.changes

@@ -1,3 +1,23 @@
+-------------------------------------------------------------------
+Tue May 26 10:59:53 UTC 2015 - astieger@suse.com
+
+- afl 1.80b:
+  - Made afl-cmin tolerant of whitespaces in filenames
+  - Added support for AFL_EXIT_WHEN_DONE
+
+-------------------------------------------------------------------
+Mon May 25 07:43:23 UTC 2015 - astieger@suse.com
+
+- afl 1.79b:
+  - Added support for dictionary levels, see testcases/README.testcases.
+  - Reworked the SQL dictionary to use levels.
+  - Added a note about Preeny.
+
+-------------------------------------------------------------------
+Tue May 19 07:26:27 UTC 2015 - astieger@suse.com
+
+- builds for i586 x86_64 only
+
 -------------------------------------------------------------------
 Mon May 18 17:12:36 UTC 2015 - astieger@suse.com
 

afl.spec

@@ -17,7 +17,7 @@
 
 
 Name:           afl
-Version:        1.78b
+Version:        1.80b
 Release:        0
 Summary:        American fuzzy lop is a security-oriented fuzzer
 License:        Apache-2.0
@@ -28,6 +28,7 @@ Source1:        afl-rpmlintrc
 Patch1:         afl-1.58b-fix-paths.patch
 BuildRequires:  gcc-c++
 BuildRoot:      %{_tmppath}/%{name}-%{version}-build
+ExclusiveArch:  i586 x86_64
 
 %description
 American fuzzy lop is a security-oriented fuzzer that employs a novel type of compile-time instrumentation and genetic algorithms to automatically discover clean, interesting test cases that trigger new internal states in the targeted binary. This substantially improves the functional coverage for the fuzzed code. The compact synthesized corpora produced by the tool are also useful for seeding other, more labor- or resource-intensive testing regimes down the road.