Process crash via null-unsafe GraphDef attribute casts
Published Sep 16, 2022 · Updated Apr 23, 2025
Null pointer dereference in TensorFlow before 2.7.2, 2.8.0, and 2.9.0 allows remote attackers to crash GraphDef imports. GraphDefImporter::ArgNumType calls dyn_cast on a null value returned for a missing type-list, number, or type attribute instead of using a null-safe cast. A crafted GraphDef must reach the MLIR TensorFlow Graph importer; triggering the flaw terminates the importing process without reported data disclosure or modification.
Summary
What happened
Null pointer dereference in TensorFlow before 2.7.2, 2.8.0, and 2.9.0 allows remote attackers to crash GraphDef imports. GraphDefImporter::ArgNumType calls dyn_cast on a null value returned for a missing type-list, number, or type attribute instead of using a null-safe cast. A crafted GraphDef must reach the MLIR TensorFlow Graph importer; triggering the flaw terminates the importing process without reported data disclosure or modification.
The record
- CVE
- CVE-2022-36014
- Published
- Sep 16, 2022
- Updated
- Apr 23, 2025
- Vendor
- Product
- TensorFlow
- Classifications
- CWE-476, T1499.004
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Sep 16, 2022CVE publishedPublication date reported by the CVE source.
- Apr 23, 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=< 2.7.2
- Affected versionversion=>= 2.8.0, < 2.8.1
- Affected versionversion=>= 2.9.0, < 2.9.1
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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Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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