CVE-2022-30495
9.8 · CRITICALOverview
CVE-2022-30495 is a critical-severity vulnerability affecting automotive_shop_management_system_project automotive_shop_management_system. It was published on May 26, 2022 and has a CVSS 3.1 base score of 9.8 (CRITICAL).
This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
In oretnom23 Automotive Shop Management System v1.0, the name id parameter is vulnerable to IDOR - Broken Access Control allowing attackers to change the admin password(vertical privilege escalation)
Remediation
Check the references section for vendor advisories and patches from automotive_shop_management_system_project. Update automotive_shop_management_system 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 |
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Frequently Asked Questions
What is CVE-2022-30495?
CVE-2022-30495 is a critical-severity vulnerability affecting automotive_shop_management_system_project automotive_shop_management_system. It was published on May 26, 2022 and has a CVSS 3.1 base score of 9.8 (CRITICAL).
How severe is CVE-2022-30495?
This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2022-30495?
Check the references section for vendor advisories and patches from automotive_shop_management_system_project. Update automotive_shop_management_system 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-2022-30495?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-30495 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.
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