CVE Vulnerability

CVE-2020-15193

In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

5.5 /10

CVSS v2.0 :

V3 Legend

Vector :

Exploitability : 8 / Impact : 4.9

Attack Vector

Attack Complexity

Privileges Required

User Interaction

Confidentiality Impact NONE

Integrity Impact PARTIAL

Availability Impact PARTIAL

Scope

7.1 /10

CVSS v3.0 : HIGH

V3 Legend

Vector :

Exploitability : 2.8 / Impact : 4.2

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required LOW

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact HIGH

Availability Impact LOW

Scope UNCHANGED

References
Link Resource
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v Exploit Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8 Patch Third Party Advisory
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html Mailing List Third Party Advisory
Configurations

Configuration 1

cpe:2.3:a:google:tensorflow:2.2.0:*:*:*:-:*:*:*
cpe:2.3:a:google:tensorflow:2.3.0:*:*:*:-:*:*:*
cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*
Information

Published : 2020-09-25 07:15

Updated : 2021-11-18 05:20

NVD link : CVE-2020-15193

Mitre link : CVE-2020-15193

Products Affected
No products.
CWE
CWE-908