CVE-2026-72777: Server-Side Request Forgery (SSRF) in DayuanJiang next-ai-draw-io
Next AI Draw.io through 0.4.16 contains a server-side request forgery vulnerability in the POST /api/parse-url endpoint due to hostname validation that only checks string patterns without DNS resolution. Unauthenticated attackers can supply hostnames that bypass string validation but resolve to internal addresses, allowing them to reach arbitrary internal HTTP services and exfiltrate responses including cloud metadata.
AI Analysis
Technical Summary
CVE-2026-72777 is a server-side request forgery vulnerability affecting next-ai-draw-io through version 0.4.16. The flaw exists in the POST /api/parse-url endpoint where hostname validation is insufficient, relying only on string pattern matching without DNS resolution. Attackers can exploit this by providing hostnames that appear valid but resolve to internal IP addresses, allowing them to reach internal HTTP services and extract response data including cloud metadata. The vulnerability requires no authentication and has a CVSS 4.0 base score of 7.7 (high severity).
Potential Impact
An unauthenticated attacker can exploit this SSRF vulnerability to access internal HTTP services that are normally inaccessible from outside the network. This can lead to unauthorized data disclosure, including sensitive cloud metadata, which may facilitate further attacks or information gathering.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict access to the vulnerable endpoint and implement network-level controls to limit outbound requests from the application server to internal services.
CVE-2026-72777: Server-Side Request Forgery (SSRF) in DayuanJiang next-ai-draw-io
Description
Next AI Draw.io through 0.4.16 contains a server-side request forgery vulnerability in the POST /api/parse-url endpoint due to hostname validation that only checks string patterns without DNS resolution. Unauthenticated attackers can supply hostnames that bypass string validation but resolve to internal addresses, allowing them to reach arbitrary internal HTTP services and exfiltrate responses including cloud metadata.
CVSS v4.0
Score 7.7high
Affected software
DayuanJiang
next-ai-draw-io
pkg:github/next-ai-draw-ioRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-72777 is a server-side request forgery vulnerability affecting next-ai-draw-io through version 0.4.16. The flaw exists in the POST /api/parse-url endpoint where hostname validation is insufficient, relying only on string pattern matching without DNS resolution. Attackers can exploit this by providing hostnames that appear valid but resolve to internal IP addresses, allowing them to reach internal HTTP services and extract response data including cloud metadata. The vulnerability requires no authentication and has a CVSS 4.0 base score of 7.7 (high severity).
Potential Impact
An unauthenticated attacker can exploit this SSRF vulnerability to access internal HTTP services that are normally inaccessible from outside the network. This can lead to unauthorized data disclosure, including sensitive cloud metadata, which may facilitate further attacks or information gathering.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict access to the vulnerable endpoint and implement network-level controls to limit outbound requests from the application server to internal services.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-08-10T15:09:12.955Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6a7e0ff3bf8831d539a34e4c
Added to database: 08/13/2026, 18:41:55 UTC
Last enriched: 09/25/2026, 02:39:23 UTC
Last updated: 09/27/2026, 01:57:17 UTC
Views: 61
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