Agent-Vulnerability-Dataset

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Agent-Vulnerability-Dataset

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The raw statistics of the paper "Security Debt in LLM Agent Applications: A Measurement Study of Vulnerabilities and Mitigation Trade-offs", which has been accepted by ASE 2025.

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# Security Debt in LLM Agent Applications: A Measurement Study of Vulnerabilities and Mitigation Trade-offs

Thank you for your interest in our study. 🤗

In this paper, we present a curated dataset derived from 50 top-rated agent apps. Through extensive collection efforts, we identified 221 publicly disclosed vulnerabilities affecting these apps. The dataset was finalized in **April 2025**.

The dataset contains the following detailed information:

* Agent App List
* Vulnerability ID
* CWE
* CVSS Score
* Severity
* CVSS Vector String
* Vulnerability Description
* Reference URLs
* Vulnerability Type
* Root Cause
* Vulnerability Location
* Developer Response
* Mitigation Time
* Mitigation Strategy
* Mitigation Effectiveness

We release this dataset to facilitate further research on the security of LLM-based agent apps. If you wish to make use of this dataset or the insights it provides in your own research, please kindly cite it as follows:

```bibtex
@inproceedings{shen2025secdebt,
  title={Security Debt in {LLM} Agent Applications: A Measurement Study of Vulnerabilities and Mitigation Trade-offs},
  author={Shen, Zhuoxiang and Dai, Jiarun and Zhang, Yuan and Yang, Min},
  booktitle={40th {IEEE/ACM} International Conference on Automated Software Engineering},
  year={2025},
  address={Seoul, Republic of Korea}
}
```

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