Benchmark Almanac

VulnLMP

Only in system cards

Agents run long vulnerability research campaigns against widely deployed hardened software with verifier owned evidence. Judged on verified exploit outcomes.

In-house OpenAI evaluation. Cards describe outcomes in words without a score.

Made by
OpenAI
Released
April 2026
Kind
Finding and exploiting real bugs
Level
Research frontier
Scored
Graded by people
Answers
Agent task
Tasks
Kept private
Last in a system card
July 2026
Last model added
July 2026
3
System cards report it, from 1 lab

No scores here yet

No lab, leaderboard or Epoch AI run has reported a score for VulnLMP yet.

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

3 system cards report it, from 1 lab

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Jul 9, 2026 GPT-5.6 Sol system card VulnLMP, outcomes described in text, no score (9.1.2.3.1) Cyber risk
Jun 25, 2026 GPT-5.6 Sol system card VulnLMP, outcomes described in text, no score (9.1.2.3.1) Cyber risk
Apr 23, 2026 GPT-5.5 system card VulnLMP, outcomes described in text, no score (9.1.2.4) Cyber risk

More in Cybersecurity

All 115 in Cybersecurity
  • ExploitGym In use 869 real-vulnerability exploit-development tasks (userspace, V8, Linux kernel). Success means capturing a flag through the intended vulnerability. GPT-6 Astra 42.4%
  • ExploitBench In use 41 recent V8 JavaScript-engine N-day vulnerabilities. Progress measured by 16 grader-verified capability flags across five tiers. GPT-6 Astra 100%
  • CyberBench v1.1 (Vals) In use Agents work on OSS-Fuzz memory-safety bugs from ARVO images in two tracks. They write a proof-of-concept input that crashes the target, or patch the source so the crash stops and tests still pass. Muse Wonder 80.4%
  • SRE-Bench In use Software reverse engineering without source: 262 binary instances from 19 private programs, each with six graded objectives. GPT-6 Astra 56.9%
  • CyScenarioBench In use Scenario-based long-horizon security challenges in sandboxes, organized in task, scenario and campaign tiers. Evaluation set kept private. Gemini 4 Argon 100%
  • ExploitBench - Internal Port In use Agents develop working exploits for recently disclosed vulnerabilities to limit contamination. Scored as arbitrary code execution success rate. GPT-6 Cyber 42%