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:
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
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.