Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2017-16229

5.5 · MEDIUM
Published Feb 26, 2018 ox_project CWE-125 EPSS 0.96% (59th pctl)

Overview

CVE-2017-16229 is a medium-severity vulnerability affecting ox_project ox. It was published on February 26, 2018 and has a CVSS 3.0 base score of 5.5 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical Description

In the Ox gem 2.8.1 for Ruby, the process crashes with a stack-based buffer over-read in the read_from_str function in sax_buf.c when a crafted input is supplied to sax_parse.

Remediation

Check the references section for vendor advisories and patches from ox_project. Update ox 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

Frequently Asked Questions

What is CVE-2017-16229?

CVE-2017-16229 is a medium-severity vulnerability affecting ox_project ox. It was published on February 26, 2018 and has a CVSS 3.0 base score of 5.5 (MEDIUM).

How severe is CVE-2017-16229?

This vulnerability has a CVSS 3.0 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2017-16229?

Check the references section for vendor advisories and patches from ox_project. Update ox 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-2017-16229?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-16229 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.