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CVE-2026-59713

8.1 · HIGH
Published Jul 6, 2026 CWE-352 EPSS 0.23% (14th pctl)

Overview

CVE-2026-59713 is a high-severity vulnerability. It was published on July 6, 2026 and has a CVSS 3.1 base score of 8.1 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.1, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

Leantime contains an OIDC login CSRF vulnerability in the verifyState() method that unconditionally returns true without validating state parameters. Attackers can craft malicious callback URLs with attacker-controlled authorization codes to perform session fixation, logging victims in as the attacker.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. 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.

Frequently Asked Questions

What is CVE-2026-59713?

CVE-2026-59713 is a high-severity vulnerability. It was published on July 6, 2026 and has a CVSS 3.1 base score of 8.1 (HIGH).

How severe is CVE-2026-59713?

This vulnerability has a CVSS 3.1 base score of 8.1, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2026-59713?

Check the references section for vendor advisories, patches, and mitigation guidance. 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-2026-59713?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-59713 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.