Source: afl Section: devel Priority: optional Maintainer: Daniel Stender Build-Depends: clang-6.0, debhelper (>= 11), dh-buildinfo, llvm-6.0-dev Standards-Version: 4.3.0 Homepage: http://lcamtuf.coredump.cx/afl/ Vcs-Git: https://salsa.debian.org/debian/afl.git Vcs-Browser: https://salsa.debian.org/debian/afl Package: afl Architecture: any Depends: build-essential, ${misc:Depends}, ${shlibs:Depends} Recommends: afl-clang, afl-doc Suggests: gnuplot Description: instrumentation-driven fuzzer for binary formats American fuzzy lop is a fuzzer that employs 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. . afl-fuzz is designed to be practical: it has modest performance overhead, uses a variety of highly effective fuzzing strategies, requires essentially no configuration, and seamlessly handles complex, real-world use cases - say, common image parsing or file compression libraries. Package: afl-clang Architecture: any Depends: afl (= ${binary:Version}), clang-6.0, ${clang:Depends}, ${misc:Depends}, ${shlibs:Depends} Recommends: afl-doc Breaks: afl (<< 1.72b) Replaces: afl (<< 1.72b) Description: instrumentation-driven fuzzer for binary formats - clang support American fuzzy lop is a fuzzer that employs compile-time instrumentation and genetic algorithms to automatically discover clean, interesting test cases that trigger new internal states in the targeted binary. . This package provides support for the clang compiler. Package: afl-doc Architecture: all Section: doc Depends: ${misc:Depends} Recommends: afl, afl-clang Breaks: afl (<= 1.96b-1) Description: instrumentation-driven fuzzer for binary formats - documentation American fuzzy lop is a fuzzer that employs compile-time instrumentation and genetic algorithms to automatically discover clean, interesting test cases that trigger new internal states in the targeted binary. . This package provides the documentation, a collection of special crafted test cases, vulnerability samples and experimental stuff.