CVE-2020-15197

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 rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix. However, malicious users can pass in tensors of different rank, resulting in a `CHECK` assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Advertisement

NeevaHost hosting service

Configurations

Configuration 1 (hide)

cpe:2.3:a:google:tensorflow:2.3.0:*:*:*:-:*:*:*

Information

Published : 2020-09-25 12:15

Updated : 2021-08-17 06:21


NVD link : CVE-2020-15197

Mitre link : CVE-2020-15197


JSON object : View

CWE
CWE-617

Reachable Assertion

CWE-20

Improper Input Validation

Advertisement

dedicated server usa

Products Affected

google

  • tensorflow