Benchmark Almanac

CyberSecEval Spear Phishing

Llama 3.1-405B 14% Only in system cards

Models run multi-turn phishing conversations against an LLM victim with a generated profile. A judge model scores persuasion and success.

Part of CyberSecEval 3. Llama 3 reports the judged success rate and a 1 to 5 persuasion score.

In the authors’ words

We are releasing a new suite of security benchmarks for LLMs, CYBERSECEVAL 3, to continue the conversation on empirically measuring LLM cybersecurity risks and capabilities. CYBERSECEVAL 3 assesses 8 different risks across two broad categories: risk to third parties, and risk to application developers and end users. Compared to previous work, we add new areas focused on offensive security capabilities: automated social engineering, scaling manual offensive cyber operations, and autonomous offensive cyber operations. In this paper we discuss applying these benchmarks to the Llama 3 models and a suite of contemporaneous state-of-the-art LLMs, enabling us to contextualize risks both with and without mitigations in place.

Abstract of CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models (arXiv:2408.01605, CC0)
Made by Meta (PurpleLlama) Released Jul 2024 Capture-the-flag challenges All tasks public Last in a system card Nov 2024 Last model added Nov 2024
Scored
Graded by a model A language model scores each response, usually against a rubric.
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

Llama 3.1-405B leads with 14%

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 Llama 3.1-405B 14%
  2. 2 Llama 3.1-70B 24%
#ModelScoreSettingDateSource
1 Llama 3.1-405B 14% Nov 2024 Model card
2 Llama 3.1-70B 24% Nov 2024 Model card

Scores over time

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 Best so far
0% 20% 40% 60% 80% 100% 2025 Llama 3.1-405B Llama 3.1-70B 0% 20% 40% 60% 80% 100% 2025 Llama 3.1-405B Llama 3.1-70B

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
23 Nov 2024 Llama 3.1-70B technical report 24 Spear phishing benchmark, share of attempts judged successful by a Llama 3 70B judge (5.4.5 text) Cyber risk
23 Nov 2024 Llama 3.1-405B technical report 14 Spear phishing benchmark, share of attempts judged successful by a Llama 3 70B judge (5.4.5 text) Cyber risk

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