CVE-2019-16779
5.8 · MEDIUMOverview
CVE-2019-16779 is a medium-severity vulnerability affecting excon_project excon. It was published on December 16, 2019 and has a CVSS 3.1 base score of 5.8 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.8, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
In RubyGem excon before 0.71.0, there was a race condition around persistent connections, where a connection which is interrupted (such as by a timeout) would leave data on the socket. Subsequent requests would then read this data, returning content from the previous response. The race condition window appears to be short, and it would be difficult to purposefully exploit this.
Remediation
Check the references section for vendor advisories and patches from excon_project. Update excon 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 |
|---|---|---|---|
| excon_project | excon | >= 0, < 0.71.0 | Affected |
References
Frequently Asked Questions
What is CVE-2019-16779?
CVE-2019-16779 is a medium-severity vulnerability affecting excon_project excon. It was published on December 16, 2019 and has a CVSS 3.1 base score of 5.8 (MEDIUM).
How severe is CVE-2019-16779?
This vulnerability has a CVSS 3.1 base score of 5.8, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2019-16779?
Check the references section for vendor advisories and patches from excon_project. Update excon 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-2019-16779?
CyberStrike's AI-powered security agents can automatically detect CVE-2019-16779 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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