CVE-2022-35996 — Divide By Zero in Tensorflow

CWE-369 — Divide By Zero5 documents5 sources
Severity
7.5HIGHNVD
CNA5.9
EPSS
0.1%
top 80.05%
CISA KEV
Not in KEV
Exploit
No known exploits
Affected products
3
TensorflowGoogle TensorflowIntel Optimization FOR Tensorflow
Timeline
PublishedSep 16

Description

TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. 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…

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/tensorflow2.8.0 — 2.8.1+3
▶CVEListV5tensorflow/tensorflow< 2.7.2+2
▶PyPIintel/optimization_for_tensorflow2.8.0 — 2.8.1+2

Patches

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

🔴Vulnerability Details

3
GHSA
TensorFlow vulnerable to floating point exception in `Conv2D`↗2022-09-16
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CVEList
Floating point exception in `Conv2D` in TensorFlow↗2022-09-16
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OSV
TensorFlow vulnerable to floating point exception in `Conv2D`↗2022-09-16
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📋Vendor Advisories

1
Debian
CVE-2022-35996: tensorflow - TensorFlow is an open source platform for machine learning. If `Conv2D` is given...↗2022
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CVE-2022-35996 — Divide By Zero in Tensorflow | cvebase