`CHECK`-failures during Grappler's `SafeToRemoveIdentity` in Tensorflow
### Impact The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that [`SafeToRemoveIdentity`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/dependency_optimizer.cc#L59-L98) would trigger `CHECK` failures. ### Patches We have patched the issue in GitHub commit [92dba16749fae36c246bec3f9ba474d9ddeb7662](https://github.com/tensorflow/tensorflow/commit/92dba16749fae36c246bec3f9ba474d9ddeb7662). 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. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
beschreibt (1)
Zugehörige CVEs.
| ID | Schweregrad | ausnutzbar | ||
|---|---|---|---|---|
| CVE-2022-23579US | medium6.5 | — | ||
Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that `SafeToR… | ||||
Referenzen
Externe Belege — Patches, Meldungen, Analysen.
- https://github.com/advisories/GHSA-5f2r-qp73-37mrADVISORY
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-88.yamlWEB
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-143.yamlWEB
- https://github.com/tensorflow/tensorflowWEB
- https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/dependency_optimizer.cc#L59-L98WEB
- https://github.com/tensorflow/tensorflow/commit/92dba16749fae36c246bec3f9ba474d9ddeb7662WEB
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5f2r-qp73-37mrWEB
- https://nvd.nist.gov/vuln/detail/CVE-2022-23579ADVISORY
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