How severe is CVE-2022-30494?

CVE-2022-30494 has a CVSS 3.x base score of 5.4, rated medium severity. It is exploitable over network with low attack complexity, requires low privileges and user interaction. Impact on confidentiality is low, integrity low, and availability none.

Is CVE-2022-30494 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (44th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2022-30494?

CVE-2022-30494 affects Automotive Shop Management System Project Automotive Shop Management System. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2022-30494?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.

When was CVE-2022-30494 published?

CVE-2022-30494 was published on 2022-05-26 and last updated on 2026-06-17.

CVE-2022-30494

CVE-2022-30494 is a medium-severity vulnerability in Automotive Shop Management System Project Automotive Shop Management System with a CVSS 3.x base score of 5.4. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-79.

Key facts

Severity: Medium (CVSS 3.x base score 5.4)
CVSS v2: 3.5
EPSS exploit prediction: 1% (44th percentile)
Actively exploited: Not listed in CISA KEV
Weakness: CWE-79
Affected product: Automotive Shop Management System Project Automotive Shop Management System
Published: 2022-05-26
Last modified: 2026-06-17

Description

In oretnom23 Automotive Shop Management System v1.0, the first and last name user fields suffer from a stored XSS Injection Vulnerability allowing remote attackers to gain admin access and view internal IPs.

Frequently asked questions

What is CVE-2022-30494?: In oretnom23 Automotive Shop Management System v1.0, the first and last name user fields suffer from a stored XSS Injection Vulnerability allowing remote attackers to gain admin access and view internal IPs.
How severe is CVE-2022-30494?: CVE-2022-30494 has a CVSS 3.x base score of 5.4, rated medium severity. It is exploitable over network with low attack complexity, requires low privileges and user interaction. Impact on confidentiality is low, integrity low, and availability none.
Is CVE-2022-30494 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (44th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2022-30494?: CVE-2022-30494 affects Automotive Shop Management System Project Automotive Shop Management System. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2022-30494?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
When was CVE-2022-30494 published?: CVE-2022-30494 was published on 2022-05-26 and last updated on 2026-06-17.

References

https://github.com/nsparker1337/OpenSource/blob/main/exploit_xss_asms.md

Affected products (1)

cpe:2.3:a:automotive_shop_management_system_project:automotive_shop_management_system:1.0:*:*:*:*:*:*:*

More vulnerabilities in Automotive Shop Management System Project Automotive Shop Management System

CVE-2022-30495 — Critical (CVSS 9.8): In oretnom23 Automotive Shop Management System v1.0, the name id parameter is vulnerable to IDOR - Broken Access…
CVE-2022-30493 — Critical (CVSS 9.8): In oretnom23 Automotive Shop Management System v1.0, the product id parameter suffers from a blind SQL Injection…
CVE-2022-30463 — High (CVSS 8.8): Automotive Shop Management System v1.0 is vulnerable to SQL Injection via /asms/classes/Master.php?f=delete_product.
CVE-2022-44838 — High (CVSS 7.2): Automotive Shop Management System v1.0 was discovered to contain a SQL injection vulnerability via the id parameter at…
CVE-2022-44860 — High (CVSS 7.2): Automotive Shop Management System v1.0 was discovered to contain a SQL injection vulnerability via the id parameter at…
CVE-2022-44859 — High (CVSS 7.2): Automotive Shop Management System v1.0 was discovered to contain a SQL injection vulnerability via the id parameter at…

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