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  1. SECURITY.md

    implement, and therefore security issues deriving from their absence are not
    considered a vulnerability in TensorFlow.
    
    ### Resource allocation
    
    A denial of service caused by one model could bring down the entire server, but
    we don't consider this as a vulnerability, given that models can exhaust
    resources in many different ways and solutions exist to prevent this from
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  2. RELEASE.md

    *   Fixes a missing validation which causes denial of service via `DeleteSessionTensor` ([CVE-2022-29194](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29194))
    *   Fixes a missing validation which causes denial of service via `GetSessionTensor` ([CVE-2022-29191](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29191))
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    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
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