Risk | High |
Patch available | YES |
Number of vulnerabilities | 1 |
CVE-ID | CVE-2019-16778 |
CWE-ID | CWE-787 |
Exploitation vector | Network |
Public exploit | N/A |
Vulnerable software |
TensorFlow Server applications / Other server solutions |
Vendor | TensorFlow |
Security Bulletin
This security bulletin contains one high risk vulnerability.
EUVDB-ID: #VU30549
Risk: High
CVSSv4.0: 8.1 [CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:U/U:Amber]
CVE-ID: CVE-2019-16778
CWE-ID:
CWE-787 - Out-of-bounds write
Exploit availability: No
DescriptionThe vulnerability allows a remote non-authenticated attacker to execute arbitrary code.
In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.
MitigationInstall update from vendor's website.
Vulnerable software versionsTensorFlow: 1.0.0 - 1.14.0
CPE2.3https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2019-002.md
https://github.com/tensorflow/tensorflow/commit/db4f9717c41bccc3ce10099ab61996b246099892
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-844w-j86r-4x2j
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.