Vulnerability Description
TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.8.4 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca13PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472ExploitPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca13PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472ExploitPatchThird Party Advisory
FAQ
What is CVE-2022-41900?
CVE-2022-41900 is a vulnerability with a CVSS score of 7.1 (HIGH). TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerab...
How severe is CVE-2022-41900?
CVE-2022-41900 has been rated HIGH with a CVSS base score of 7.1/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2022-41900?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.