MediumVulnerability
CVE-2022-35959: TensorFlow denial of service through AvgPool3DGradOp input shape validation
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-35959
- Published
- Record updated
- Affected
- tensorflow < 2.7.2, fixed in 2.7.2, released May 16, 2022, 124 days before disclosure
- tensorflow >= 2.8.0, < 2.8.1, fixed in 2.8.1, released May 16, 2022, 124 days before disclosure
- tensorflow >= 2.9.0, < 2.9.1, fixed in 2.9.1, released May 23, 2022, 117 days before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.5%
Summary
CVE-2022-35959 affects TensorFlow's `AvgPool3DGradOp` implementation, which does not fully validate the input `orig_input_shape`. An overflow from this flaw triggers a `CHECK` failure that can be used to launch a denial of service attack.
Mitigation
Patched in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. The fix will be included in TensorFlow 2.10.0 and cherrypicked to TensorFlow 2.9.1, 2.8.1 and 2.7.2. No known workarounds.
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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