CVE-2021-29557 — Divide By Zero in Tensorflow

CWE-369 — Divide By Zero6 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. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.SparseMatMul`. The division by 0 occurs deep in Eigen code because the `b` tensor is empty. 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
OSV
Division by 0 in `SparseMatMul`↗2021-05-21
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GHSA
Division by 0 in `SparseMatMul`↗2021-05-21
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OSV
CVE-2021-29557: TensorFlow is an end-to-end open source platform for machine learning↗2021-05-14
▶
CVEList
Division by 0 in `SparseMatMul`↗2021-05-14
▶

📋Vendor Advisories

1
Debian
CVE-2021-29557: tensorflow - TensorFlow is an end-to-end open source platform for machine learning. An attack...↗2021
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CVE-2021-29557 — Divide By Zero in Tensorflow | cvebase