CVE-2022-2756
Published: 10 August 2022
Summary
CVE-2022-2756 is a medium-severity SSRF (CWE-918) vulnerability in Kavitareader Kavita. Its CVSS base score is 6.5 (Medium).
Operationally, ranked in the top 1.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
CVE-2022-2756 is a server-side request forgery vulnerability (CWE-918) affecting the Kavita open-source e-book server in the kareadita/kavita GitHub repository prior to version 0.5.4.1. The flaw received a CVSS 3.1 score of 6.5, reflecting network attack vector, low attack complexity, and low privileges required with high confidentiality impact and no integrity or availability effects.
An authenticated user with low privileges can exploit the SSRF condition to cause the Kavita server to issue arbitrary requests to internal or external resources, potentially disclosing sensitive data reachable from the server. The attack requires no user interaction and can be performed remotely over the network.
The referenced GitHub commit and huntr.dev bounty report document the fix that was merged to address the SSRF issue; operators should upgrade to Kavita 0.5.4.1 or later to eliminate the vulnerable code path.
EPSS for the CVE rose from lower values to a recorded peak of 0.7796 on 2026-04-12 before receding to the current 0.6768, indicating a post-disclosure increase in exploitation interest that warrants renewed attention.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-34998
Vulnerability details
Server-Side Request Forgery (SSRF) in GitHub repository kareadita/kavita prior to 0.5.4.1.
- 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.