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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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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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