CVE-2021-29619 — Improper Handling of Exceptional Conditions in Tensorflow

CWE-755 — Improper Handling of Exceptional Conditions6 documents5 sources
Severity
5.5MEDIUMNVD
CNA2.5
EPSS
0.0%
top 97.19%
CISA KEV
Not in KEV
Exploit
No known exploits
Affected products
3
TensorflowGoogle TensorflowIntel Optimization FOR Tensorflow
Timeline
PublishedMay 14
Latest updateMay 21

Description

TensorFlow is an end-to-end open source platform for machine learning. Passing invalid arguments (e.g., discovered via fuzzing) to `tf.raw_ops.SparseCountSparseOutput` results in segfault. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

CVSS vector

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HExploitability: 1.8 | Impact: 3.6

Affected Packages3 packages

▶NVDgoogle/tensorflow2.2.0 — 2.2.3+3
▶CVEListV5tensorflow/tensorflow< 2.1.4+3
▶PyPIintel/optimization_for_tensorflow2.2.0 — 2.2.3+4

Patches

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

🔴Vulnerability Details

4
GHSA
Segfault in `tf.raw_ops.SparseCountSparseOutput`↗2021-05-21
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OSV
Segfault in `tf.raw_ops.SparseCountSparseOutput`↗2021-05-21
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OSV
CVE-2021-29619: TensorFlow is an end-to-end open source platform for machine learning↗2021-05-14
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CVEList
Segfault in `tf.raw_ops.SparseCountSparseOutput`↗2021-05-14
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📋Vendor Advisories

1
Debian
CVE-2021-29619: tensorflow - TensorFlow is an end-to-end open source platform for machine learning. Passing i...↗2021
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CVE-2021-29619 — Tensorflow vulnerability | cvebase