Adversarial Payloads Dataset
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/GianlucaMaragliano/Adversarial_RL_XSS
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资源简介:
该数据集包含了能够绕过XSS检测模型的一组生成载荷,并对这些载荷进行了转义率、破坏率和词汇外(OOV)率的统计分析。此外,数据集中还包含了平均转义率、破坏率和OOV率,这些数据突显了预处理对XSS攻击有效性的影响。该数据集的规模来源于十个对抗性代理在多个检测模型中收集的数据,其任务是对XSS检测模型对抗性攻击的有效性进行评估。
This dataset contains a set of generated payloads capable of bypassing XSS detection models, and includes statistical analyses of the escape rate, evasion rate, and out-of-vocabulary (OOV) rate for these payloads. Additionally, the dataset provides the average escape rate, evasion rate, and OOV rate, which highlight the impact of preprocessing on the effectiveness of XSS attacks. The dataset is built upon data collected by ten adversarial agents across multiple detection models, with its core objective being to evaluate the effectiveness of adversarial attacks against XSS detection models.
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The authors of the paper



