CVE-2020-15198

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.

How to fix CVE-2020-15198

To remediate CVE-2020-15198, upgrade the affected package to a fixed version below.

• —upgrade to 2.3.1 or later
• —upgrade to 2.3.1 or later
• —upgrade to 3cbb917b4714766030b28eba9fb41bb97ce9ee02 or later
• —upgrade to 3cbb917b4714766030b28eba9fb41bb97ce9ee02 or later
• —upgrade to 2.3.1 or later
• —upgrade to 3cbb917b4714766030b28eba9fb41bb97ce9ee02 or later
• —upgrade to 2.3.1 or later

Is CVE-2020-15198 being exploited?

Low — EPSS is 0.2%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

• >= 2.3.0, < 2.3.1
• >= 2.3.0, < 2.3.1
• from 0, < 3cbb917b4714766030b28eba9fb41bb97ce9ee02 | from 0, < 2.3.1
• from 0, < 3cbb917b4714766030b28eba9fb41bb97ce9ee02 | from 0, < 2.3.1
• >= 2.3.0, < 2.3.1
• from 0, < 3cbb917b4714766030b28eba9fb41bb97ce9ee02 | from 0, < 2.3.1
• >= 2.3.0, < 2.3.1

CVSS scores

References (8)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2020-15198
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-278.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-313.yaml