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CVE-2026-10299

3.8 · LOW
Published Jun 1, 2026 CWE-99

Overview

CVE-2026-10299 is a low-severity vulnerability. It was published on June 1, 2026 and has a CVSS 3.1 base score of 3.8 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.8, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

A weakness has been identified in code-projects Online Hospital Management System 1.0. This issue affects some unknown processing of the file viewdoctortimings.php. This manipulation of the argument delid causes improper control of resource identifiers. The attack can be initiated remotely. The exploit has been made available to the public and could be used for attacks.

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-2026-10299?

CVE-2026-10299 is a low-severity vulnerability. It was published on June 1, 2026 and has a CVSS 3.1 base score of 3.8 (LOW).

How severe is CVE-2026-10299?

This vulnerability has a CVSS 3.1 base score of 3.8, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2026-10299?

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-2026-10299?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-10299 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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