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CVE-2025-9403

3.3 · LOW
Published Aug 25, 2025 jqlang CWE-617 EPSS 0.21% (11th pctl)

Overview

CVE-2025-9403 is a low-severity vulnerability affecting jqlang jq. It was published on August 25, 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 vulnerability was determined in jqlang jq up to 1.6. Impacted is the function run_jq_tests of the file jq_test.c of the component JSON Parser. Executing manipulation can lead to reachable assertion. The attack requires local access. The exploit has been publicly disclosed and may be utilized. Other versions might be affected as well.

Remediation

Check the references section for vendor advisories and patches from jqlang. Update jq 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
jqlang jq 0 Affected

Frequently Asked Questions

What is CVE-2025-9403?

CVE-2025-9403 is a low-severity vulnerability affecting jqlang jq. It was published on August 25, 2025 and has a CVSS 3.1 base score of 3.3 (LOW).

How severe is CVE-2025-9403?

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-2025-9403?

Check the references section for vendor advisories and patches from jqlang. Update jq 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-2025-9403?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-9403 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.