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CVE-2025-13397

3.3 · LOW
Published Nov 19, 2025 s-itoc CWE-404 EPSS 0.14% (4th pctl)

Overview

CVE-2025-13397 is a low-severity vulnerability affecting s-itoc mruby\/c. It was published on November 19, 2025 and has a CVSS 3.1 base score of 3.3 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

A security vulnerability has been detected in mrubyc up to 3.4. This impacts the function mrbc_raw_realloc of the file src/alloc.c. Such manipulation of the argument ptr leads to null pointer dereference. An attack has to be approached locally. The name of the patch is 009111904807b8567262036bf45297c3da8f1c87. It is advisable to implement a patch to correct this issue.

Remediation

Check the references section for vendor advisories and patches from s-itoc. Update mruby\/c 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
s-itoc mruby\/c 0 Affected

Frequently Asked Questions

What is CVE-2025-13397?

CVE-2025-13397 is a low-severity vulnerability affecting s-itoc mruby\/c. It was published on November 19, 2025 and has a CVSS 3.1 base score of 3.3 (LOW).

How severe is CVE-2025-13397?

This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2025-13397?

Check the references section for vendor advisories and patches from s-itoc. Update mruby\/c 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-2025-13397?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-13397 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.