Heap disclosure via unchecked negative pooling indices
Published Feb 3, 2022 · Updated May 5, 2025
Out-of-bounds read in TensorFlow before 2.5.3, 2.6.0 through 2.6.2, and 2.7.0 allows remote authenticated users to read heap memory. FractionalAvgPoolGrad uses negative row or column pooling-sequence values as indices without first enforcing a lower bound. The attacker must control tensors passed to this operation; the demonstrated consequence is an out-of-bounds heap read, with no reported write capability.
Summary
What happened
Out-of-bounds read in TensorFlow before 2.5.3, 2.6.0 through 2.6.2, and 2.7.0 allows remote authenticated users to read heap memory. FractionalAvgPoolGrad uses negative row or column pooling-sequence values as indices without first enforcing a lower bound. The attacker must control tensors passed to this operation; the demonstrated consequence is an out-of-bounds heap read, with no reported write capability.
The record
- CVE
- CVE-2022-21730
- Published
- Feb 3, 2022
- Updated
- May 5, 2025
- Vendor
- Unknown vendor
- Product
- Unknown product
- Classifications
- CWE-125
- 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.
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
- FractionalAvgPoolGrad negative pooling-sequence proof of conceptproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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