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GitHub - FuzzAnything/PromptFuzz: PromtFuzz is an automat...
JasonHEIN · 2026-04-25 · via Hacker News: Show HN

Prompt Fuzzing for Fuzz Driver Generation

PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing.

workflow

PromptFuzz is currently regarded as the leading approach for generating fuzz drivers both in academia and industry. The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than OSS-Fuzz and 1.67x greater than Hopper. Besides, PromptFuzz detected 33 valid security bugs from 49 unique crashes. workflow

Relase Notes:

  • Release v1.0.0. Support AFLPlusPlus, more libraries and fixed many panic bugs! (2026-04-10)
  • Upgrade Clang and LLVM versions to 18! (2025-06-07)
  • Upgrade async_openai sdk version to 0.28 to support OPENAI interface new features. (2025-06-05)
  • Support OpenAI specification! You can use any LLMs via the standard OPENAI specification. (2025-05-02)

✨Features

  • Multiply LLM support: Supports any LLM invocation via the OPENAI Interface Specificatio!.
  • Context-based Prompt: Construct LLM prompts with the automatically extracted library context.
  • Powerful Sanitization: The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs.
  • Prioritized Mutation: Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage.
  • Fuzz Driver Exploitation: Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers.
  • Fuzz engine integration: Integrates with grey-box fuzz engine: LibFuzzer.

🏆Trophy

The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. For instances, CVE-2023-6277, CVE-2023-52355 and CVE-2023-52356.

PromptFuzz detects uniquely interesting bugs:

ID Library Buggy Function Bug Type Status Track Link
1. libaom highbd_8_variance_sse2 SEGV Confirmed 3489
2. libaom av1_rc_update_framerate Uninitialized Stack Confirmed 3509
3. libaom timebase_units_to_ticks Integer Overflow Confirmed 3510
4. libaom encode_without_recode SEGV Confirmed 3534
5. libvpx vp8_peek_si_internal SEGV Confirmed 1817
6. libvpx update_fragments Buffer Overflow Confirmed 1827
7. libvpx vp8e_encode Integer Overflow Confirmed 1828
8. libvpx encode_mb_row Integer Overflow Confirmed 1831
9. libvpx vpx_free_tpl_gop_stats SEGV Confirmed 1837
10. libmagic mkdbname Buffer Overflow Confirmed 481
11. libmagic magic_setparam Buffer Overflow Waiting 482
12. libmagic check_buffer Buffer Overflow Confirmed 483
13. libmagic mget Integer Overflow Waiting 486
14. libTIFF TIFFOpen OOM Confirmed 614
15. libTIFF PixarLogSetupDecode OOM Confirmed 619
16. libTIFF TIFFReadEncodedStrip OOM Confirmed 620
17. libTIFF TIFFReadRGBAImageOriented OOM Confirmed 620
18. libTIFF TIFFRasterScanlineSize64 OOM Confirmed 621
19. libTIFF TIFFReadRGBATileExt SEGV Confirmed 622
20. sqlite3 sqlite3_unlock_notify Null Pointer crash Confirmed e77a5
21. sqlite3 sqlite3_enable_load_extension Null Pointer crash Confirmed 9ce83
22. sqlite3 sqlite3_db_config Null Pointer crash Confirmed 5e3fc
23. c-ares config_sortlist Memory Leak Confirmed d62627
24. c-ares config_sortlist Memory Leak Confirmed d62627
25. libjpeg-turbo tj3DecodeYUV8 Integer Overflow Confirmed 78eaf0
26. libjpeg-turbo tj3LoadImage16 OOM Confirmed 735
27. libpcap pcap_create File Leak Confirmed 1233
28. libpcap pcapint_create_interface Null Pointer crash Confirmed 1239
29. libpcap pcapint_fixup_pcap_pkthdr Misaligned Address Confirmed -
30. cJSON cJSON_SetNumberHelper Error Cast Confirmed 805
31. cJSON cJSON_CreateNumber Error Cast Confirmed 806
32. cJSON cJSON_DeleteItemFromObjectCaseSensitive TimeOut Confirmed 807
33. curl parseurl Assertion Failure Confirmed 12775

Usage

See in Usage

Trouble Shooting

PromptFuzz customized both static and dynamic analysis on the generated harnesses to ensure the harness effectiveness and bug detection accuracy. As LLMs can generate a diverse both C and C++ syntax, our predefined analysis could be panic when it encouters some corner cases. If you encountered that cases, please reproduce that issue with RUST_BACKTRACE=1 and report it. If possible, let your coding pilot (using a powerful LLM) try to identifiy the issues and fix them. Welcome PRs.

🎈Future Works

  • Close-source libraries: Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus.
  • Generalization: Generalize PromptFuzz to binary programs.