Staging Environment: Content and features may be unstable or change without notice.
Search for vulnerabilities
Vulnerability details: VCID-7jup-pyyw-c3eg
Vulnerability ID VCID-7jup-pyyw-c3eg
Aliases CVE-2022-23567
GHSA-rrx2-r989-2c43
PYSEC-2022-131
PYSEC-2022-76
Summary Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Status Published
Exploitability None
Weighted Severity None
Risk None
Affected and Fixed Packages Package Details
Weaknesses (3)
CWE-190 Integer Overflow or Wraparound
CWE-937 OWASP Top Ten 2013 Category A9 - Using Components with Known Vulnerabilities
CWE-1035 OWASP Top Ten 2017 Category A9 - Using Components with Known Vulnerabilities
System Score Found at
There are no known severity scores.
Reference id Reference type URL
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-76.yaml
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-131.yaml
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md
https://github.com/tensorflow/tensorflow/commit/1b54cadd19391b60b6fcccd8d076426f7221d5e8
https://github.com/tensorflow/tensorflow/commit/e952a89b7026b98fe8cbe626514a93ed68b7c510
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrx2-r989-2c43
CVE-2022-23567 https://nvd.nist.gov/vuln/detail/CVE-2022-23567
GHSA-rrx2-r989-2c43 https://github.com/advisories/GHSA-rrx2-r989-2c43
No exploits are available.
There are no known vectors.

No EPSS data available for this vulnerability.

Date Actor Action Source VulnerableCode Version
2026-06-02T04:16:28.212981+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2022-76.yaml 38.6.0