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Vulnerability details: VCID-g3tv-ra2y-hqdn
Vulnerability ID VCID-g3tv-ra2y-hqdn
Aliases CVE-2022-21725
GHSA-v3f7-j968-4h5f
PYSEC-2022-104
PYSEC-2022-49
Summary Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. 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-369 Divide By Zero
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-2022-49.yaml
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-104.yaml
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/blob/ffa202a17ab7a4a10182b746d230ea66f021fe16/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L189-L198
https://github.com/tensorflow/tensorflow/commit/3218043d6d3a019756607643cf65574fbfef5d7a
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v3f7-j968-4h5f
CVE-2022-21725 https://nvd.nist.gov/vuln/detail/CVE-2022-21725
GHSA-v3f7-j968-4h5f https://github.com/advisories/GHSA-v3f7-j968-4h5f
No exploits are available.
There are no known vectors.

No EPSS data available for this vulnerability.

Date Actor Action Source VulnerableCode Version
2026-06-02T04:16:32.372922+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2022-104.yaml 38.6.0