MediumVulnerability
CVE-2022-23586: Tensorflow denial of service via altered SavedModel crashing Python interpreter
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-23586
- Published
- Record updated
- Affected
- tensorflow < 2.5.3, fixed in 2.5.3, released February 2, 2022, 3 days before disclosure
- tensorflow >= 2.6.0, < 2.6.3, fixed in 2.6.3, released February 2, 2022, 3 days before disclosure
- tensorflow = 2.7.0, fixed in 2.7.1, released February 2, 2022, 3 days before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.8%
Summary
CVE-2022-23586 affects TensorFlow, an open source machine learning framework. A malicious user can alter a `SavedModel` so that assertions in `function.cc` are falsified, crashing the Python interpreter and causing a denial of service. The record is classified under CWE-617, Reachable Assertion.
Mitigation
The fix will be included in TensorFlow 2.8.0. The commit will also be cherry-picked to TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, which are also affected and still in supported range.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- tensorflowPyPINo LLM dependency detected · 26 tracked dependents
- tensorflow-gpuPyPINo LLM dependency detected · 2 tracked dependents
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