77 lines
2.9 KiB
Nix
77 lines
2.9 KiB
Nix
{ stdenv, fetchFromGitHub, callPackage, makeWrapper
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, clang, llvm, which, libcgroup
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}:
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let
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afl-qemu = callPackage ./qemu.nix { inherit afl; };
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qemu-exe-name = if stdenv.hostPlatform.system == "x86_64-linux" then "qemu-x86_64"
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else if stdenv.hostPlatform.system == "i686-linux" then "qemu-i386"
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else throw "afl: no support for ${stdenv.hostPlatform.system}!";
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afl = stdenv.mkDerivation rec {
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pname = "afl";
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version = "2.56b";
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src = fetchFromGitHub {
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owner = "google";
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repo = pname;
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rev = "v${version}";
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sha256 = "1q1g59gkm48aa4cg9h70jx4i2gapmypgp5rzs156b2avd95vwkn1";
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};
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enableParallelBuilding = true;
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# Note: libcgroup isn't needed for building, just for the afl-cgroup
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# script.
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nativeBuildInputs = [ makeWrapper which ];
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buildInputs = [ llvm ];
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makeFlags = [ "PREFIX=$(out)" ];
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postBuild = ''
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make -C llvm_mode $makeFlags -j$NIX_BUILD_CORES
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'';
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postInstall = ''
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# Install the custom QEMU emulator for binary blob fuzzing.
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cp ${afl-qemu}/bin/${qemu-exe-name} $out/bin/afl-qemu-trace
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# Install the cgroups wrapper for asan-based fuzzing.
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cp experimental/asan_cgroups/limit_memory.sh $out/bin/afl-cgroup
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chmod +x $out/bin/afl-cgroup
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substituteInPlace $out/bin/afl-cgroup \
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--replace "cgcreate" "${libcgroup}/bin/cgcreate" \
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--replace "cgexec" "${libcgroup}/bin/cgexec" \
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--replace "cgdelete" "${libcgroup}/bin/cgdelete"
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# Patch shebangs before wrapping
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patchShebangs $out/bin
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# Wrap afl-clang-fast(++) with a *different* AFL_PATH, because it
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# has totally different semantics in that case(?) - and also set a
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# proper AFL_CC and AFL_CXX so we don't pick up the wrong one out
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# of $PATH.
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for x in $out/bin/afl-clang-fast $out/bin/afl-clang-fast++; do
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wrapProgram $x \
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--prefix AFL_PATH : "$out/lib/afl" \
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--run 'export AFL_CC=''${AFL_CC:-${clang}/bin/clang} AFL_CXX=''${AFL_CXX:-${clang}/bin/clang++}'
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done
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'';
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passthru.qemu = afl-qemu;
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meta = {
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description = "Powerful fuzzer via genetic algorithms and instrumentation";
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longDescription = ''
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American fuzzy lop is a fuzzer that employs a novel type of
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compile-time instrumentation and genetic algorithms to
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automatically discover clean, interesting test cases that
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trigger new internal states in the targeted binary. This
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substantially improves the functional coverage for the fuzzed
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code. The compact synthesized corpora produced by the tool are
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also useful for seeding other, more labor or resource-intensive
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testing regimes down the road.
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'';
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homepage = "http://lcamtuf.coredump.cx/afl/";
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license = stdenv.lib.licenses.asl20;
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platforms = ["x86_64-linux" "i686-linux"];
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maintainers = with stdenv.lib.maintainers; [ thoughtpolice ris ];
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};
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};
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in afl
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