MediumVulnerability
CVE-2022-35988: TensorFlow denial of service through empty input to matrix_rank on GPU
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-35988
- 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 `tf.linalg.matrix_rank` GPU kernel hits a `CHECK` failure when it receives an empty input `a`, and an attacker can use this to trigger a denial of service. The issue is tracked as CVE-2022-35988 and is patched in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a.
Mitigation
Fixed in TensorFlow 2.10.0. The commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a will also be cherry-picked to TensorFlow 2.9.1, 2.8.1 and 2.7.2.
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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