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Vulnerability details: VCID-7rgb-m55r-4yhr
Vulnerability ID VCID-7rgb-m55r-4yhr
Aliases CVE-2022-23587
GHSA-8jj7-5vxc-pg2q
PYSEC-2022-151
PYSEC-2022-96
Summary Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. 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-2022-96.yaml
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-151.yaml
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L2621-L2689
https://github.com/tensorflow/tensorflow/commit/0aaaae6eca5a7175a193696383f582f53adab23f
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8jj7-5vxc-pg2q
CVE-2022-23587 https://nvd.nist.gov/vuln/detail/CVE-2022-23587
GHSA-8jj7-5vxc-pg2q https://github.com/advisories/GHSA-8jj7-5vxc-pg2q
No exploits are available.
There are no known vectors.

No EPSS data available for this vulnerability.

Date Actor Action Source VulnerableCode Version
2026-06-02T04:16:47.798246+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2022-151.yaml 38.6.0