MediumVulnerability
CVE-2021-37677: TensorFlow denial of service through shape inference in Dequantize
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-37677
- Published
- Record updated
- Affected
- tensorflow < 2.3.4, fixed in 2.3.4, released August 10, 2021, 3 days before disclosure
- tensorflow >= 2.4.0, < 2.4.3, fixed in 2.4.3, released August 10, 2021, 3 days before disclosure
- tensorflow = 2.5.0, fixed in 2.5.1, released August 10, 2021, 3 days before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.1%
Summary
CVE-2021-37677 affects the shape inference code for `tf.raw_ops.Dequantize` in TensorFlow. Invalid `axis` values that are neither `-1` nor greater than `-1` are not validated, so an attacker who supplies such arguments can trigger a segfault and a denial of service.
Mitigation
We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0, and the commit will be cherrypicked onto TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4.
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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