CVE-2022-35998Reachable Assertion in Tensorflow

Severity
7.5HIGHNVD
CNA5.9
EPSS
0.1%
top 77.66%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedSep 16

Description

TensorFlow is an open source platform for machine learning. If `EmptyTensorList` receives an input `element_shape` with more than one dimension, it gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c8ba76d48567aed347508e0552a257641931024d. 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 suppor

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
`CHECK` fail in `EmptyTensorList` in TensorFlow2022-09-16
GHSA
TensorFlow vulnerable to `CHECK` fail in `EmptyTensorList`2022-09-16
OSV
TensorFlow vulnerable to `CHECK` fail in `EmptyTensorList`2022-09-16

📋Vendor Advisories

1
Debian
CVE-2022-35998: tensorflow - TensorFlow is an open source platform for machine learning. If `EmptyTensorList`...2022
CVE-2022-35998 — Reachable Assertion in Tensorflow | cvebase