Process crash via missing Grappler input node
Published Feb 4, 2022 · Updated Apr 22, 2025
Reachable assertion in Google TensorFlow before 2.5.3, 2.6.0 through 2.6.2, and 2.7.0 allows attackers to crash the process. Grappler's DependencyOptimizer::SafeToRemoveIdentity dereferences a missing input node after NodeMap::GetNode returns null and terminates execution through a fatal CHECK. Exploitation requires a crafted SavedModel to reach Grappler optimization, and the resulting impact is limited to interruption of the TensorFlow process.
Summary
What happened
Reachable assertion in Google TensorFlow before 2.5.3, 2.6.0 through 2.6.2, and 2.7.0 allows attackers to crash the process. Grappler's DependencyOptimizer::SafeToRemoveIdentity dereferences a missing input node after NodeMap::GetNode returns null and terminates execution through a fatal CHECK. Exploitation requires a crafted SavedModel to reach Grappler optimization, and the resulting impact is limited to interruption of the TensorFlow process.
The record
- CVE
- CVE-2022-23579
- Published
- Feb 4, 2022
- Updated
- Apr 22, 2025
- Vendor
- Product
- TensorFlow
- Classifications
- CWE-617, T1499.004
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Feb 4, 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=< 2.5.3
- Affected versionversion=>= 2.6.0, < 2.6.3
- Affected versionversion=>= 2.7.0, < 2.7.1
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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Public exploit references
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Technologies
Your stack
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Your stack
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