CVE-2022-35986Improper Input Validation in Tensorflow

Severity
7.5HIGHNVD
CNA5.9
EPSS
0.1%
top 78.71%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedSep 16

Description

TensorFlow is an open source platform for machine learning. If `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HExploitability: 3.9 | Impact: 3.6

Affected Packages3 packages

NVDgoogle/tensorflow2.8.02.8.1+3
CVEListV5tensorflow/tensorflow< 2.7.2+2
PyPIintel/optimization_for_tensorflow2.8.02.8.1+2

Patches

🔴Vulnerability Details

3
CVEList
Segfault in `RaggedBincount` in TensorFlow2022-09-16
GHSA
TensorFlow vulnerable to segfault in `RaggedBincount`2022-09-16
OSV
TensorFlow vulnerable to segfault in `RaggedBincount`2022-09-16

📋Vendor Advisories

1
Debian
CVE-2022-35986: tensorflow - TensorFlow is an open source platform for machine learning. If `RaggedBincount` ...2022
CVE-2022-35986 — Improper Input Validation | cvebase