CVE-2022-36005 — Reachable Assertion in Tensorflow

CWE-617 — Reachable Assertion5 documents5 sources
Severity
7.5HIGHNVD
CNA5.9
EPSS
0.1%
top 78.51%
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. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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 s…

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

1
Debian
CVE-2022-36005: tensorflow - TensorFlow is an open source platform for machine learning. When `tf.quantizatio...↗2022
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CVE-2022-36005 — Reachable Assertion in Tensorflow | cvebase