Buffer overflow in TensorFlow TensorFlow



Published: 2019-04-24 | Updated: 2020-07-17
Risk High
Patch available YES
Number of vulnerabilities 1
CVE-ID CVE-2018-10055
CWE-ID CWE-119
Exploitation vector Network
Public exploit N/A
Vulnerable software
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TensorFlow
Server applications / Other server solutions

Vendor TensorFlow

Security Bulletin

This security bulletin contains one high risk vulnerability.

1) Buffer overflow

EUVDB-ID: #VU31090

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 - Memory corruption

Exploit availability: No

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.



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