Process crash via unchecked null data pointer
Published Mar 24, 2023 · Updated Feb 19, 2025
Null pointer dereference in Google TensorFlow 2.11.0 and earlier allows attackers to crash the process through tf.raw_ops.Print. The Boolean SummarizeArray specialization uses the data pointer without a null guard, while Print supplies a null pointer when summarize is zero. The condition requires Boolean data and a zero summarize value, and the resulting segmentation fault interrupts the hosting process.
Summary
What happened
Null pointer dereference in Google TensorFlow 2.11.0 and earlier allows attackers to crash the process through tf.raw_ops.Print. The Boolean SummarizeArray specialization uses the data pointer without a null guard, while Print supplies a null pointer when summarize is zero. The condition requires Boolean data and a zero summarize value, and the resulting segmentation fault interrupts the hosting process.
The record
- CVE
- CVE-2023-25660
- Published
- Mar 24, 2023
- Updated
- Feb 19, 2025
- Vendor
- Product
- TensorFlow
- Classifications
- CWE-476, T1499
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Mar 24, 2023CVE publishedPublication date reported by the CVE source.
- Feb 19, 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?
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- Affected versionversion=< 2.1.1
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
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Public exploit references
- Upstream tf.raw_ops.Print crash reproducerproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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