HighVulnerability
CVE-2021-37655: TensorFlow out-of-bounds heap read through ResourceScatterUpdate
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-37655
- 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
- 0.2%
Summary
TensorFlow's `tf.raw_ops.ResourceScatterUpdate` in affected versions can be triggered with invalid arguments to read outside the bounds of heap-allocated data. The cause is incomplete validation of the `indices` and `updates` shapes: the code checks only that their element counts are divisible, not that the shape of `indices` is a prefix of the shape of `updates`.
Mitigation
Fixed in GitHub commit 01cff3f986259d661103412a20745928c727326f. The fix will be included in TensorFlow 2.6.0, and the commit will be cherry-picked to TensorFlow 2.5.1, 2.4.3 and 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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