CVE-2022-36026 — 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. If `QuantizeAndDequantizeV3` is given a nonscalar `num_bits` input tensor, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713. 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 are also affected and still in supported r…

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
OSV
TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`↗2022-09-16
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CVEList
`CHECK` fail in `QuantizeAndDequantizeV3` in TensorFlow↗2022-09-16
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GHSA
TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`↗2022-09-16
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📋Vendor Advisories

1
Debian
CVE-2022-36026: tensorflow - TensorFlow is an open source platform for machine learning. If `QuantizeAndDequa...↗2022
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CVE-2022-36026 — Reachable Assertion in Tensorflow | cvebase