Update Readme.md

Readme.md

@@ -9,6 +9,8 @@ Unlike AFL, AFLGo spends most of its time budget on reaching specific target loc
 * **information flow detection** by setting sensitive sources and sinks as targets. To expose data leakage vulnerabilities, a security researcher would like to generate executions that exercise sensitive sources containing private information and sensitive sinks where data becomes visible to the outside world. A directed fuzzer can be used to generate such executions efficiently.
 * **crash reproduction**  by setting method calls in the stack-trace as targets. When in-field crashes are reported, only the stack-trace and some environmental parameters are sent to the in-house development team. To preserve the user's privacy, the specific crashing input is often not available. AFLGo could help the in-house team to swiftly reproduce these crashes.
 
+AFLGo is based on <a href="http://lcamtuf.coredump.cx/afl/" target="_blank">AFL</a> from Michał Zaleski \<[email protected]\>.
+
 # Integration into OSS-Fuzz
 The easiest way to use AFLGo is as patch testing tool in OSS-Fuzz. Here is our integration:
 * https://github.com/aflgo/oss-fuzz
@@ -139,6 +141,6 @@ mkdir in
 cp $SUBJECT/test/dtd* in
 cp $SUBJECT/test/dtds/* in
 
-# To be continued ...
+$AFLGO/afl-fuzz -S ef709ce2 -z exp -c 45m -i in -o out $SUBJECT/xmllint --valid --recover @@
 ```