CVE-2022-41901 — Improper Input Validation in Tensorflow

CWE-20 — Improper Input ValidationCWE-617 — Reachable Assertion6 documents6 sources
Severity
7.5HIGHNVD
CNA4.8
EPSS
0.3%
top 43.87%
CISA KEV
Not in KEV
Exploit
No known exploits
Affected products
3
TensorflowGoogle TensorflowIntel Optimization FOR Tensorflow
Timeline
PublishedNov 18
Latest updateNov 21

Description

TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

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/tensorflow2.9.0 — 2.9.3+2
▶CVEListV5tensorflow/tensorflow< 2.8.4+2
▶PyPIintel/optimization_for_tensorflow2.9.0 — 2.9.3+2

Patches

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

🔴Vulnerability Details

3
GHSA
`CHECK_EQ` fail via input in `SparseMatrixNNZ`↗2022-11-21
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OSV
`CHECK_EQ` fail via input in `SparseMatrixNNZ`↗2022-11-21
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CVEList
`CHECK_EQ` fail via input in `SparseMatrixNNZ` in Tensorflow↗2022-11-18
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📋Vendor Advisories

2
Microsoft
`CHECK_EQ` fail via input in `SparseMatrixNNZ` in Tensorflow↗2022-11-08
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Debian
CVE-2022-41901: tensorflow - TensorFlow is an open source platform for machine learning. An input `sparse_mat...↗2022
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CVE-2022-41901 — Improper Input Validation | cvebase