CVE-2019-16778
2.6 · LOWOverview
CVE-2019-16778 is a low-severity vulnerability affecting google tensorflow. It was published on December 16, 2019 and has a CVSS 3.1 base score of 2.6 (LOW).
This vulnerability has a CVSS 3.1 base score of 2.6, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
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.
Remediation
Check the references section for vendor advisories and patches from google. Update tensorflow to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| tensorflow | >= 1.0.0, < 1.15.0 | Affected |
References
Frequently Asked Questions
What is CVE-2019-16778?
CVE-2019-16778 is a low-severity vulnerability affecting google tensorflow. It was published on December 16, 2019 and has a CVSS 3.1 base score of 2.6 (LOW).
How severe is CVE-2019-16778?
This vulnerability has a CVSS 3.1 base score of 2.6, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2019-16778?
Check the references section for vendor advisories and patches from google. Update tensorflow to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2019-16778?
CyberStrike's AI-powered security agents can automatically detect CVE-2019-16778 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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