Heap data disclosure via missing tensor-rank validation
Published Aug 12, 2021 · Updated Aug 4, 2024
Out-of-bounds read in Google TensorFlow before 2.3.4, 2.4.0 through 2.4.2, and 2.5.0 allows local users to read heap data. The UpperBoundOp and LowerBoundOp kernels access dimension 1 of sorted_input without first requiring the tensor to have rank 2 or greater. Exploitation requires local ability to submit malformed arguments to either raw operation and can disclose adjacent heap contents without altering data.
Summary
What happened
Out-of-bounds read in Google TensorFlow before 2.3.4, 2.4.0 through 2.4.2, and 2.5.0 allows local users to read heap data. The UpperBoundOp and LowerBoundOp kernels access dimension 1 of sorted_input without first requiring the tensor to have rank 2 or greater. Exploitation requires local ability to submit malformed arguments to either raw operation and can disclose adjacent heap contents without altering data.
The record
- CVE
- CVE-2021-37670
- Published
- Aug 12, 2021
- Updated
- Aug 4, 2024
- Vendor
- Product
- TensorFlow
- Classifications
- CWE-125, T1005
- Attack vector
- local
- Privileges
- authenticated
Timeline
How it unfolded
- Aug 12, 2021CVE publishedPublication date reported by the CVE source.
- Aug 4, 2024Record 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=< 2.3.4
- Affected versionversion=>= 2.4.0, < 2.4.3
- Affected versionversion=>= 2.5.0, < 2.5.1
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
- UpperBound malformed-rank proof of conceptproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
See the directory against your own environment.
Your stack
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