by Kastro
Paper/Archive/CVE-2022-41900

CVE-2022-41900

tensorflow tensorflow — FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow

EPSS 0.7%public exploitCVSS 9.8
critical.is priorityof 100
50
CVSS 9.8 (NVD)9.8 / 10 × 3029.4Not in CISA KEV+300.0EPSS percentile 51.5.515 × 2010.3Exploit: SSVC poc+1010.0SSVC exploitation: poc+100.0
Description · from the CVE record

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.

Affected

ProductAffectedFixed inSource
tensorflow>= 2.10.0, < 2.10.1–CNA
tensorflow>= 2.9.0, < 2.9.3–CNA
tensorflow< 2.8.4–CNA

Scores by source

NVD9.8CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
GitHub_M (CNA)7.1CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
CISA ADPSSVCExploitation: poc · Automatable: no · Technical impact: total

References

refgithub.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472refgithub.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48