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CVE-2023-52892

7.5 · HIGH
Published Jun 27, 2024 phpseclib CWE-436 EPSS 0.38% (31th pctl)

Overview

CVE-2023-52892 is a high-severity vulnerability affecting phpseclib phpseclib. It was published on June 27, 2024 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

In phpseclib before 1.0.22, 2.x before 2.0.46, and 3.x before 3.0.33, some characters in Subject Alternative Name fields in TLS certificates are incorrectly allowed to have a special meaning in regular expressions (such as a + wildcard), leading to name confusion in X.509 certificate host verification.

Remediation

Check the references section for vendor advisories and patches from phpseclib. Update phpseclib 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
phpseclib phpseclib >= 1.0.0, < 1.0.22 Affected

Frequently Asked Questions

What is CVE-2023-52892?

CVE-2023-52892 is a high-severity vulnerability affecting phpseclib phpseclib. It was published on June 27, 2024 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2023-52892?

This vulnerability has a CVSS 3.1 base score of 7.5, 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-2023-52892?

Check the references section for vendor advisories and patches from phpseclib. Update phpseclib 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-2023-52892?

CyberStrike's AI-powered security agents can automatically detect CVE-2023-52892 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.