Local process crash via unchecked tensor attributes
Published Nov 18, 2022 · Updated Apr 22, 2025
TensorFlow before 2.8.4, 2.9.0 through 2.9.2, and 2.10.0 allows local users to crash processes via quantized tensor attributes. The pywrap_tfe_src.cc SetOpAttrList parser fails to handle a null object returned while parsing a list of quantized tensors, so an uncaught null pointer is dereferenced. Triggering APIs such as tf.compat.v1.extract_volume_patches requires code execution in the TensorFlow process and produces a denial of service rather than data disclosure or modification.
Summary
What happened
TensorFlow before 2.8.4, 2.9.0 through 2.9.2, and 2.10.0 allows local users to crash processes via quantized tensor attributes. The pywrap_tfe_src.cc SetOpAttrList parser fails to handle a null object returned while parsing a list of quantized tensors, so an uncaught null pointer is dereferenced. Triggering APIs such as tf.compat.v1.extract_volume_patches requires code execution in the TensorFlow process and produces a denial of service rather than data disclosure or modification.
The record
- CVE
- CVE-2022-41889
- Published
- Nov 18, 2022
- Updated
- Apr 22, 2025
- Vendor
- Product
- TensorFlow
- Classifications
- CWE-476, T1203
- Attack vector
- local
- Privileges
- authenticated
Timeline
How it unfolded
- Nov 18, 2022CVE publishedPublication date reported by the CVE source.
- Apr 22, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=>= 2.10.0, < 2.10.1
- Affected versionversion=< 2.8.4
- Affected versionversion=>= 2.9.0, < 2.9.3
What conditions does exploitation require?
What is affected?
Published CVSS scores
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Attacks
What attackers are doing with it
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Public exploit references
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Technologies
Your stack
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Your stack
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