Crash or code execution via oversized axis
Published Mar 24, 2023 · Updated Feb 19, 2025
Out-of-bounds read in Google TensorFlow before 2.11.1 allows remote attackers to crash a host process or execute code via a crafted axis. The QuantizeAndDequantizeV2, V3, V4, and V4Grad shape functions accept an INT32_MAX axis and use it in rank and dimension calculations without an upper-bound check. A TensorFlow-consuming application must process attacker-controlled operation attributes; the published proof of concept crashes during graph tracing.
Summary
What happened
Out-of-bounds read in Google TensorFlow before 2.11.1 allows remote attackers to crash a host process or execute code via a crafted axis. The QuantizeAndDequantizeV2, V3, V4, and V4Grad shape functions accept an INT32_MAX axis and use it in rank and dimension calculations without an upper-bound check. A TensorFlow-consuming application must process attacker-controlled operation attributes; the published proof of concept crashes during graph tracing.
The record
- CVE
- CVE-2023-25668
- Published
- Mar 24, 2023
- Updated
- Feb 19, 2025
- Vendor
- Product
- TensorFlow
- Classifications
- CWE-122, CWE-125
- 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
- QuantizeAndDequantizeV2 INT32_MAX-axis proof of conceptproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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