CVE-2026-4623 (GCVE-0-2026-4623)
Vulnerability from cvelistv5 – Published: 2026-03-24 01:39 – Updated: 2026-03-24 15:12 X_Open Source
VLAI
EPSS
VEX
Title
DefaultFuction Jeson-Customer-Relationship-Management-System API Module System.php server-side request forgery
Summary
A security vulnerability has been detected in DefaultFuction Jeson-Customer-Relationship-Management-System up to 1b4679c4d06b90d31dd521c2b000bfdec5a36e00. This affects an unknown function of the file /api/System.php of the component API Module. The manipulation of the argument url leads to server-side request forgery. The attack can be initiated remotely. The exploit has been disclosed publicly and may be used. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available. The identifier of the patch is f76e7123fe093b8675f88ec8f71725b0dd186310/98bd4eb07fa19d4f2c5228de6395580013c97476. It is suggested to install a patch to address this issue.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-24 14:11 UTC
CWE
- CWE-918 - Server-Side Request Forgery
Assigner
VulDB
CNA
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.352482 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.352482 | signaturepermissions-required |
| https://vuldb.com/?submit.775760 | third-party-advisory |
| https://github.com/DefaultFuction/Jeson-Customer-… | issue-tracking |
| https://github.com/DefaultFuction/Jeson-Customer-… | issue-tracking |
| https://github.com/DefaultFuction/Jeson-Customer-… | exploitissue-tracking |
| https://github.com/DefaultFuction/Jeson-Customer-… | patch |
| https://github.com/DefaultFuction/Jeson-Customer-… | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| DefaultFuction | Jeson-Customer-Relationship-Management-System |
Affected:
n/a
|
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| Author | Source | Type | Date | Other |
|---|
Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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