CVE-2022-35963 — Reachable Assertion in Tensorflow

CWE-617 — Reachable Assertion5 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. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. 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 Ten…

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/tensorflow2.7.0 — 2.7.2+3
▶CVEListV5tensorflow/tensorflow< 2.7.2+2
▶PyPIintel/optimization_for_tensorflow2.8.0 — 2.8.1+2

Patches

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

🔴Vulnerability Details

3
CVEList
`CHECK` failures in `FractionalAvgPoolGrad` in TensorFlow↗2022-09-16
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OSV
TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`↗2022-09-16
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GHSA
TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`↗2022-09-16
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📋Vendor Advisories

1
Debian
CVE-2022-35963: tensorflow - TensorFlow is an open source platform for machine learning. The implementation o...↗2022
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CVE-2022-35963 — Reachable Assertion in Tensorflow | cvebase