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AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery

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This repository contains the official implementation of the paper, "AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery". The paper introduces AdInject, a novel, real-world black-box attack method that leverages internet advertising delivery to inject malicious content into Web Agents' environments, misleading them into clicking ads with high success rates (often >60%, sometimes approaching 100%).

AdInject

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If you find this work useful, please consider citing the following paper:

@misc{wang2025adinjectrealworldblackboxattacks,
      title={AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery}, 
      author={Haowei Wang and Junjie Wang and Xiaojun Jia and Rupeng Zhang and Mingyang Li and Zhe Liu and Yang Liu and Qing Wang},
      year={2025},
      eprint={2505.21499},
      archivePrefix={arXiv},
      primaryClass={cs.CR},
      url={https://arxiv.org/abs/2505.21499}, 
}

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Official implementation of "AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery".

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