{"id":112852,"date":"2024-01-12T15:10:15","date_gmt":"2024-01-12T13:10:15","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/ataka-na-infrastrukturu-pytorch-komprometiruyushhaya-repozitorij-i-relizy"},"modified":"2026-02-13T23:24:49","modified_gmt":"2026-02-13T21:24:49","slug":"ataka-na-infrastrukturu-pytorch-komprometiruyushhaya-repozitorij-i-relizy","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/news\/ataka-na-infrastrukturu-pytorch-komprometiruyushhaya-repozitorij-i-relizy","title":{"rendered":"Attack on the PyTorch infrastructure, compromising the repository and releases.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Details have emerged about an attack on the infrastructure used in the development of the PyTorch machine learning framework, which allowed the extraction of access keys sufficient to deploy arbitrary data in the project\u2019s release repository on GitHub and AWS, as well as to insert code into the main branch of the repository and add a backdoor through dependencies. The compromise of PyTorch releases could have been used to carry out attacks on large companies such as Google, Meta, Boeing, and Lockheed Martin that utilize PyTorch in their projects. As part of the Bug Bounty program, Meta paid researchers $16,250 for information about the issue. <\/p>\n

The essence of the attack lies in the ability to execute one\u2019s own code on servers<\/a> continuous integration, which performs the rebuild and execution of tasks for testing new changes submitted to the repository. This issue affects projects that use their own external handlers 'Self-Hosted Runner' with GitHub Actions. Unlike traditional GitHub Actions, Self-Hosted handlers do not run in GitHub's infrastructure, but on their own. servers or in virtual<\/a> machines maintained by developers. <\/p>\n

Running build tasks on their own servers allows organizing the execution of code that can scan the internal network of the enterprise, search the local filesystem for encryption keys and access tokens, and analyze environment variables with parameters for accessing external storage or cloud services. Without proper isolation of the build environment, found sensitive data can be sent outside by attackers, for instance, through calls to external APIs. To determine the use of 'Self-Hosted Runner' by projects, the Gato tool can be used, which analyzes publicly available workflow files and logs of CI job executions. <\/p>\n

In PyTorch and many other projects using 'Self-Hosted Runner', the execution of build tasks is permitted only for developers whose changes have previously undergone review and been included in the project's codebase. Having the status of 'contributor' when using the default repository settings allows running GitHub Actions handlers when submitting pull requests and, accordingly, executing their code in any GitHub Actions Runner environment associated with the repository or the organization managing the project. <\/p>\n

The association with the status of 'contributor' turned out to be easy to bypass\u2014simply sending a minor change beforehand and waiting for it to be accepted into the codebase allowed a developer to automatically receive the status of an active participant, whose pull requests could be tested in the CI infrastructure without separate review. To achieve the status of an active developer during the experiment, minor cosmetic changes related to fixing typos in the documentation were used. To gain access to the PyTorch repository and the release storage during the attack, the token from GitHub, used for accessing the repository from build processes, was intercepted while executing code in the 'Self-Hosted Runner', as well as AWS keys utilized to save the build results. <\/p>\n

The issue is not specific to PyTorch and affects many other large projects that use default settings for 'Self-Hosted Runner' in GitHub Actions. For example, similar attacks have been reported to insert backdoors into some major cryptocurrency wallets and blockchain projects with billion-dollar valuations, make changes to Microsoft Deepspeed and TensorFlow releases, compromise one of CloudFlare's applications, as well as execute code on computers within the Microsoft network. Details on these incidents have not yet been disclosed. Under existing Bug Bounty programs, researchers have submitted over 20 requests for rewards totaling several hundred thousand dollars.
\n
Source: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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