Process crash via zero TensorListSplit length
Published Mar 24, 2023 · Updated Feb 19, 2025
Denial of service in Google TensorFlow before 2.11.1 allows attackers to crash an XLA-compiled process through TensorListSplit. TensorListSplitOp accepts a zero split length and uses it as the divisor in a modulo operation, raising a floating-point exception. Reachability requires crafted lengths to reach tf.raw_ops.TensorListSplit inside a function with XLA JIT compilation enabled; the affected process terminates.
Summary
What happened
Denial of service in Google TensorFlow before 2.11.1 allows attackers to crash an XLA-compiled process through TensorListSplit. TensorListSplitOp accepts a zero split length and uses it as the divisor in a modulo operation, raising a floating-point exception. Reachability requires crafted lengths to reach tf.raw_ops.TensorListSplit inside a function with XLA JIT compilation enabled; the affected process terminates.
The record
- CVE
- CVE-2023-25673
- Published
- Mar 24, 2023
- Updated
- Feb 19, 2025
- Vendor
- Product
- TensorFlow
- Classifications
- CWE-697, T1499.004
- 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?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=< 2.11.1
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
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Public exploit references
- TensorListSplit XLA floating-point exception reproducerproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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