CVE-2021-37675Divide By Zero in Tensorflow

CWE-369Divide By Zero6 documents5 sources
Severity
5.5MEDIUMNVD
EPSS
0.0%
top 98.55%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedAug 12
Latest updateAug 25

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/framework/common_shape_fns.cc#L577) is missing several validations before doing divisions and modul

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/tensorflow2.3.02.3.4+3
CVEListV5tensorflow/tensorflow< 2.3.4+2
PyPIintel/optimization_for_tensorflow2.3.02.3.4+4

Patches

🔴Vulnerability Details

4
OSV
Division by 0 in most convolution operators2021-08-25
GHSA
Division by 0 in most convolution operators2021-08-25
OSV
CVE-2021-37675: TensorFlow is an end-to-end open source platform for machine learning2021-08-12
CVEList
Division by 0 in most convolution operators in TensorFlow2021-08-12

📋Vendor Advisories

1
Debian
CVE-2021-37675: tensorflow - TensorFlow is an end-to-end open source platform for machine learning. In affect...2021
CVE-2021-37675 — Divide By Zero in Tensorflow | cvebase