# Jailbreak and Phishing Prompt Classification on 60 Malicious Queries

Source: [Jailbreak and Phishing Prompt Classification on 60 Malicious Queries](<https://www.sota2.com/research/sota/jailbreak-and-phishing-prompt-classification-on-60-malicious-queries>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-04-02T09:17:19.036Z

Evaluation of model performance on classifying prompts as either jailbreak or phishing attempts using the 60 Malicious Queries dataset, measured by Accuracy.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Jailbreak and Phishing Prompt Classification |
| Dataset (including any stated split) | 60 Malicious Queries |
| Metric | Accuracy (Jailbreak/Phishing) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 1 of 1 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy (Jailbreak/Phishing)](<https://www.sota2.com/research/sota/jailbreak-and-phishing-prompt-classification-on-60-malicious-queries.md?metric=Accuracy%20(Jailbreak%2FPhishing)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (Jailbreak/Phishing) | Result date | Report paper |
| --- | --- | --- | --- |
| Xu et al. | 92 | Not recorded | 68fa7a081e209131cea80a81 |

### Xu et al.

Accuracy (Jailbreak/Phishing): 92. Result ID: 69ce341b47f34ce924b79c65.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7a081e209131cea80a81.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73311e209131cea5b07a.md>)

[Implementation](<https://sites.google.com/view/llmcomprehensive/home>)

Recorded evaluation configuration: {"Attack Vectors":"Jailbreaking but not specific to phishing","Models":"Vicuna, Llama, GPT-3.5","Best Model":"Bergeron the immune system and RoBERTa Classifier"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
