CVE-2022-23573 — Use of Uninitialized Resource in Tensorflow

CWE-908 — Use of Uninitialized Resource6 documents5 sources
Severity
8.8HIGHNVD
CNA7.6
EPSS
0.3%
top 47.16%
CISA KEV
Not in KEV
Exploit
No known exploits
Affected products
3
TensorflowIntel Optimization FOR TensorflowGoogle Tensorflow
Timeline
PublishedFeb 4
Latest updateFeb 9

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3,…

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HExploitability: 2.8 | Impact: 5.9

Affected Packages3 packages

▶CVEListV5tensorflow/tensorflow< 2.5.3+2
▶PyPIintel/optimization_for_tensorflow2.6.0 — 2.6.3+2
▶NVDgoogle/tensorflow2.6.0 — 2.6.2+2

Patches

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

🔴Vulnerability Details

4
OSV
Uninitialized variable access in Tensorflow↗2022-02-09
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GHSA
Uninitialized variable access in Tensorflow↗2022-02-09
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OSV
CVE-2022-23573: Tensorflow is an Open Source Machine Learning Framework↗2022-02-04
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CVEList
Uninitialized variable access in Tensorflow↗2022-02-04
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📋Vendor Advisories

1
Debian
CVE-2022-23573: tensorflow - Tensorflow is an Open Source Machine Learning Framework. The implementation of `...↗2022
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CVE-2022-23573 — Use of Uninitialized Resource | cvebase