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    Home - Security - Poisoned models in fake Alibaba SDKs show challenges of securing AI supply chains
    Security

    Poisoned models in fake Alibaba SDKs show challenges of securing AI supply chains

    TechurzBy TechurzMay 29, 2025No Comments1 Min Read
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    Two programmers working on new project.They working late at night at the office.
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    The attack campaign discovered by ReversingLabs involved three packages: aliyun-ai-labs-snippets-sdk, ai-labs-snippets-sdk, and aliyun-ai-labs-sdk. Together the three packages were downloaded 1,600 times, which is significant considering they were online for less than a day before they were discovered and taken down.

    Developers’ computers are valuable targets because they typically contain a variety of credentials, API tokens, and other access keys to various cloud and local infrastructure services. Compromising such a computer can easily lead to lateral movement to other parts of the environment.

    The malicious SDKs uploaded to PyPI loaded the malicious PyTorch models through the __init__.py script. The models then executed base64-obfuscated code designed to steal information about the logged-in user, the network address of the infected machine, the name of the organization that the machine belonged to, and the contents of the .gitconfig file.

    Alibaba chains challenges Fake models Poisoned SDKs securing show Supply
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