#VU31090 Buffer overflow in TensorFlow


Published: 2019-04-24 | Updated: 2020-07-17

Vulnerability identifier: #VU31090

Vulnerability risk: High

CVSSv3.1: 7.1 [CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H/E:U/RL:O/RC:C]

CVE-ID: CVE-2018-10055

CWE-ID: CWE-119

Exploitation vector: Network

Exploit availability: No

Vulnerable software:
TensorFlow
Server applications / Other server solutions

Vendor: TensorFlow

Description

The vulnerability allows a remote non-authenticated attacker to #BASIC_IMPACT#.

Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file.

Mitigation
Install update from vendor's website.

Vulnerable software versions

TensorFlow: 1.7.0


External links
http://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-006.md


Q & A

Can this vulnerability be exploited remotely?

Yes. This vulnerability can be exploited by a remote non-authenticated attacker via the Internet.

Is there known malware, which exploits this vulnerability?

No. We are not aware of malware exploiting this vulnerability.


Latest bulletins with this vulnerability