CVE-2022-35952 — Reachable Assertion in Tensorflow

CWE-617 — Reachable Assertion5 documents5 sources
Severity
7.5HIGHNVD
CNA5.9
EPSS
0.2%
top 55.42%
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 `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in its `batch_index.dim_size(0)`. An incorrect `batch_index` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c92…

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

1
Debian
CVE-2022-35952: tensorflow - TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` ...↗2022
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CVE-2022-35952 — Reachable Assertion in Tensorflow | cvebase