Out-of-bounds read in TensorFlow



| Updated: 2020-08-08
Risk Medium
Patch available YES
Number of vulnerabilities 1
CVE-ID CVE-2018-21233
CWE-ID CWE-125
Exploitation vector Network
Public exploit N/A
Vulnerable software
TensorFlow
Server applications / Other server solutions

Vendor TensorFlow

Security Bulletin

This security bulletin contains one medium risk vulnerability.

1) Out-of-bounds read

EUVDB-ID: #VU34413

Risk: Medium

CVSSv4.0: 4.6 [CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:U/U:Green]

CVE-ID: CVE-2018-21233

CWE-ID: CWE-125 - Out-of-bounds read

Exploit availability: No

Description

The vulnerability allows a remote non-authenticated attacker to gain access to sensitive information.

TensorFlow before 1.7.0 has an integer overflow that causes an out-of-bounds read, possibly causing disclosure of the contents of process memory. This occurs in the DecodeBmp feature of the BMP decoder in core/kernels/decode_bmp_op.cc.

Mitigation

Install update from vendor's website.

Vulnerable software versions

TensorFlow: 1.0.0 - 1.6.0

CPE2.3 External links

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-001.md
https://github.com/tensorflow/tensorflow/commit/49f73c55d56edffebde4bca4a407ad69c1cae433


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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