re-fuzzing
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSPRIVILEGE_ESCALATIONCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill references several external source code repositories for security tooling:
- Fetches the AFL++ source code from its official GitHub repository:
https://github.com/AFLplusplus/AFLplusplus. - Downloads the honggfuzz fuzzer from Google's official GitHub organization:
https://github.com/google/honggfuzz. - Obtains the afl-cov coverage tool from its GitHub repository:
https://github.com/mrash/afl-cov. - [PRIVILEGE_ESCALATION]: The instructions include the use of
sudofor administrative operations, which is consistent with standard system maintenance: - Installing packages via system managers (
apt,dnf,pacman). - Installing compiled software to system directories using
make install. - [COMMAND_EXECUTION]: The skill involves the execution of various commands to facilitate software testing:
- Compilation of target programs and harnesses using
clang,gcc, andmake. - Running the
afl-fuzzandlibFuzzerengines to dynamically test binaries. - The skill explicitly emphasizes the security principle of running all dynamic testing inside a sandbox environment.
- [INDIRECT_PROMPT_INJECTION]: The skill defines a surface for processing external data during the fuzzing process:
- Ingestion points: Untrusted data enters the context through seed files in the
in/directory andseed_sample.bin(SKILL.md). - Boundary markers: The instructions mandate the use of a sandbox (
[[re-sandbox]]) to isolate dynamic execution and mitigate potential risks from processing malicious inputs. - Capability inventory: The workflow utilizes powerful system capabilities including compilers, build tools, and the
afl-fuzzengine (SKILL.md). - Sanitization: While no specific input sanitization is described, the workflow relies on the target's internal checks and host sandboxing to manage the risks associated with processing adversarial inputs.
Audit Metadata