CVE-2022-23565Medium· 6.5▾ Sunlit`CHECK`-failures in Tensorflow
▾ Sunlit zone — Low / medium · no exploitation signal
impact 35.8 · likelihood 0.1 · exploitation 0
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Exploit-prediction probability, daily snapshots since Jul 13.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
0.5%
0.5% → 0.5%
An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation are duplicated.
We have patched the issue in GitHub commit c2b31ff2d3151acb230edc3f5b1832d2c713a9e0.
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
tensorflow < 2.5.3tensorflow >= 2.6.0, < 2.6.3tensorflow >= 2.7.0, < 2.7.1tensorflow-cpu < 2.5.3tensorflow-cpu >= 2.6.0, < 2.6.3tensorflow-cpu >= 2.7.0, < 2.7.1tensorflow-gpu < 2.5.3tensorflow-gpu >= 2.6.0, < 2.6.3tensorflow-gpu >= 2.7.0, < 2.7.1Upgrade to a patched release:
tensorflow 2.5.3tensorflow 2.6.3tensorflow 2.7.1tensorflow-cpu 2.5.3tensorflow-cpu 2.6.3tensorflow-cpu 2.7.1tensorflow-gpu 2.5.3tensorflow-gpu 2.6.3tensorflow-gpu 2.7.1Connected by shared product, vendor, weakness, or advisory.
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