CVE-2022-35982Improper Input Validation in Tensorflow

Severity
7.5HIGHNVD
CNA5.9
EPSS
0.1%
top 80.05%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedSep 16

Description

TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. 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 ar

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 `SparseBincount` in TensorFlow2022-09-16
GHSA
TensorFlow vulnerable to segfault in `SparseBincount`2022-09-16
OSV
TensorFlow vulnerable to segfault in `SparseBincount`2022-09-16

📋Vendor Advisories

1
Debian
CVE-2022-35982: tensorflow - TensorFlow is an open source platform for machine learning. If `SparseBincount` ...2022
CVE-2022-35982 — Improper Input Validation | cvebase