MediumVulnerability
CVE-2022-35964: TensorFlow denial of service through BlockLSTMGradV2 input validation
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-35964
- 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
TensorFlow's `BlockLSTMGradV2` implementation does not fully validate its inputs, which causes a segfault that can be used to trigger a denial of service attack. The issue affects TensorFlow versions 2.7.2, 2.8.1 and 2.9.1 as well as earlier releases in their supported range.
Mitigation
Patched in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa, included in TensorFlow 2.10.0 and cherry-picked 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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