Benchmark Almanac

CyberSecEval Spear Phishing

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.

Released
July 2024
Kind
Capture-the-flag challenges
Scored
Graded by a model
Answers
Agent task
Tasks
All public
Strongest model tested
Llama 3.1-405B #162 on the capability index
Last in a system card
November 2024
Last model added
November 2024

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)
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%

Source: Labs’ model cards

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

Source: Labs’ model cards

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.

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
Nov 23, 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
Nov 23, 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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