CVE-2022-43183
Published: 17 November 2022
Summary
CVE-2022-43183 is a high-severity SSRF (CWE-918) vulnerability in Xuxueli Xxl-Job. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 3.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
XXL-Job versions before 2.3.1 contain a server-side request forgery vulnerability in the component /admin/controller/JobLogController.java, tracked as CVE-2022-43183 and assigned CWE-918. The flaw received a CVSS 3.1 base score of 8.8 reflecting network attack vector, low attack complexity, and low required privileges.
An authenticated attacker with network access can supply crafted requests that cause the server to issue arbitrary outbound connections, enabling access to internal resources, data exfiltration, or further compromise that affects confidentiality, integrity, and availability. The published EPSS score stands at 0.2864 with an identical peak value, indicating moderate exploitation probability without evidence of a post-disclosure rise.
Public references point to GitHub issue discussions for the project; the version constraint in the CVE description indicates that upgrading to 2.3.1 or later addresses the SSRF vector. No additional details on real-world exploitation campaigns or patch deployment guidance appear in the supplied references.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-7276
Vulnerability details
XXL-Job before v2.3.1 contains a Server-Side Request Forgery (SSRF) via the component /admin/controller/JobLogController.java.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Validates server-side URLs and resource references to block SSRF attempts.
Detects server-side request forgery through monitoring of unexpected outbound connections.