CVE-2022-1713
Published: 16 May 2022
Summary
CVE-2022-1713 is a high-severity SSRF (CWE-918) vulnerability in Diagrams Drawio. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 0.4% 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-2022-1713 is a server-side request forgery vulnerability (CWE-918) affecting the /proxy endpoint in the jgraph/drawio repository prior to version 18.0.4. The flaw permits an unauthenticated remote attacker to issue arbitrary requests that are processed by the server itself, exposing the ability to retrieve and return internal or otherwise inaccessible content. It carries a CVSS 3.1 base score of 7.5 reflecting network attack vector, low complexity, and high impact on confidentiality.
An attacker with no credentials or user interaction can send crafted requests to the affected endpoint and receive the server’s response, resulting in disclosure of sensitive internal resources or data reachable from the drawio instance. The same mechanism can be used to interact with services on the server’s network that would normally be unreachable from the attacker’s location.
The referenced commit 283d41ec80ad410d68634245cf56114bc19331ee in the drawio repository addresses the issue, and the associated huntr.dev report confirms the remediation path. The EPSS score currently stands at 0.8935 with a recorded peak of 0.9018.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-24996
Vulnerability details
SSRF on /proxy in GitHub repository jgraph/drawio prior to 18.0.4. An attacker can make a request as the server and read its contents. This can lead to a leak of sensitive information.
- 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.