MediumVulnerability
CVE-2022-23588: Tensorflow denial of service through altered SavedModel reference dtype
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-23588
- 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
- 0.9%
Summary
CVE-2022-23588 affects TensorFlow, an open source machine learning framework. A malicious user can alter a `SavedModel` so that the Grappler optimizer tries to build a tensor using a reference `dtype`, which triggers a `CHECK`-fail in the `Tensor` constructor and crashes the process, causing a denial of service.
Mitigation
The fix will be included in TensorFlow 2.8.0. The commit will also be cherrypicked to TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.
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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