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CVE-2025-70299

6.5 · MEDIUM
Published Jan 15, 2026 gpac CWE-122

Overview

CVE-2025-70299 is a medium-severity vulnerability affecting gpac gpac. It was published on January 15, 2026 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

A heap overflow in the avi_parse_input_file() function of GPAC v2.4.0 allows attackers to cause a Denial of Service (DoS) via a crafted AVI file.

Remediation

Check the references section for vendor advisories and patches from gpac. Update gpac 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-2025-70299?

CVE-2025-70299 is a medium-severity vulnerability affecting gpac gpac. It was published on January 15, 2026 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

How severe is CVE-2025-70299?

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2025-70299?

Check the references section for vendor advisories and patches from gpac. Update gpac 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-2025-70299?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-70299 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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