QwikSec

Security Database

CVE

CWE

Training

CVE-2020-15198

Published: Sep 25, 2020

Modified: Aug 4, 2024

PUBLISHED

CVSS v3.1

5.4

MEDIUM

Description

In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

Vendor	Product	Versions
tensorflow	tensorflow	affected `>= 2.3.0, < 2.3.1`

Weaknesses (CWE)

CVSS v3.1 Details

CVSS v3.1 Vector

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N

Attack Vector

Network

Attack Complexity

High

Privileges Required

None

User Interaction

None

Scope

Changed

Confidentiality

Low

Integrity

Low

Availability

None

References

https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1

x_refsource_MISC

https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02

x_refsource_MISC

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3

x_refsource_CONFIRM

Security Training

Train your team to recognize and prevent security threats with our comprehensive security awareness program.

Vulnerability Scanning

Discover vulnerabilities in your applications and infrastructure before attackers do.