CVE-2026-9377
2.4 · LOWOverview
CVE-2026-9377 is a low-severity vulnerability. It was published on May 24, 2026 and has a CVSS 3.1 base score of 2.4 (LOW).
This vulnerability has a CVSS 3.1 base score of 2.4, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
A vulnerability was identified in SourceCodester SUP Online Shopping 1.0. The impacted element is an unknown function of the file /admin/productedit.php. The manipulation of the argument productName leads to cross site scripting. It is possible to initiate the attack remotely. The exploit is publicly available and might be used.
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-2026-9377?
CVE-2026-9377 is a low-severity vulnerability. It was published on May 24, 2026 and has a CVSS 3.1 base score of 2.4 (LOW).
How severe is CVE-2026-9377?
This vulnerability has a CVSS 3.1 base score of 2.4, 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-2026-9377?
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-2026-9377?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-9377 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
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