Benchmark Almanac

Forensics CTF challenges (Anthropic)

Claude Opus 4.5 100% Only in system cards

Agents analyze logs, files or obfuscated records to reconstruct events in capture-the-flag challenges.

In-house Anthropic evaluation. The tasks are not public.

Made by Anthropic Capture-the-flag challenges Tasks kept private Last in a system card Feb 2026 Last model added Feb 2026
Level
Expert Specialists with years of training, often over hours of work
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
2
Models scored in lab cards
2
System cards report it, from 1 lab

2 models share the top score of 100%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Claude Opus 4.5 100%
  2. 2 Claude Opus 4.6 100%
#ModelScoreSettingDateSource
1 Claude Opus 4.5 100% Nov 2025 Model card
2 Claude Opus 4.6 100% Feb 2026 Model card

The best score passed 85% in Nov 2025

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 4.5 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 4.5

Labs report it only in system cards

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.

2 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
5 Feb 2026 Claude Opus 4.6 system card 100 Forensics CTF challenges, success rate best-of-30, label partly behind the legend (Figure 8.4.6.B) Cyber risk
24 Nov 2025 Claude Opus 4.5 system card 100 Forensics CTF challenges, success rate best-of-30, label partly behind the legend (Figure 7.4.6.B) Cyber risk

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