Process crash via oversized FractionalMaxPool ratio
Published Feb 3, 2022 · Updated May 5, 2025
Divide-by-zero in TensorFlow's FractionalMaxPool allows remote authenticated users to crash a process with a crafted pooling ratio. The kernel fails to reject a pooling ratio larger than the corresponding input dimension before a later calculation divides by zero. An authenticated caller able to supply operator inputs can terminate only the TensorFlow process; no confidentiality or integrity impact is reported.
Summary
What happened
Divide-by-zero in TensorFlow's FractionalMaxPool allows remote authenticated users to crash a process with a crafted pooling ratio. The kernel fails to reject a pooling ratio larger than the corresponding input dimension before a later calculation divides by zero. An authenticated caller able to supply operator inputs can terminate only the TensorFlow process; no confidentiality or integrity impact is reported.
The record
- CVE
- CVE-2022-21735
- Published
- Feb 3, 2022
- Updated
- May 5, 2025
- Vendor
- Unknown vendor
- Product
- Unknown product
- Classifications
- CWE-369, T1499.004
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Feb 3, 2022CVE publishedPublication date reported by the CVE source.
- May 5, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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What conditions does exploitation require?
What is affected?
Affected products and versions are unavailable in this record.
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.
Weakness, pattern, technique
Public exploit references
- FractionalMaxPool crash proof of conceptproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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