CVE-2022-41884 — Always-Incorrect Control Flow Implementation in Tensorflow

CWE-670 — Always-Incorrect Control Flow Implementation6 documents6 sources
Severity
7.5HIGHNVD
CNA4.8
EPSS
0.2%
top 58.84%
CISA KEV
Not in KEV
Exploit
No known exploits
Affected products
3
TensorflowGoogle TensorflowIntel Optimization FOR Tensorflow
Timeline
PublishedNov 18
Latest updateNov 21

Description

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

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/tensorflow2.9.0 — 2.9.3+2
▶CVEListV5tensorflow/tensorflow< 2.8.4+2
▶PyPIintel/optimization_for_tensorflow2.9.0 — 2.9.3+2

Patches

Patch: github.com ↗Patch: github.com ↗Patch: github.com ↗

🔴Vulnerability Details

3
OSV
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs↗2022-11-21
▶
GHSA
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs↗2022-11-21
▶
CVEList
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow↗2022-11-18
▶

📋Vendor Advisories

2
Microsoft
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow↗2022-11-08
▶
Debian
CVE-2022-41884: tensorflow - TensorFlow is an open source platform for machine learning. If a numpy array is ...↗2022
▶
CVE-2022-41884 — Tensorflow vulnerability | cvebase