Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2026-30844 is a critical-severity SSRF (CWE-918) vulnerability in Wekan Project Wekan. Its CVSS base score is 9.3 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 15th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to AC-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-30844 is a Server-Side Request Forgery (SSRF) vulnerability (CWE-918) affecting Wekan, an open-source kanban tool built with Meteor, specifically in versions 8.32 and 8.33. The issue arises during board import processes for both Wekan and Trello flows, where attachment URLs extracted from user-supplied JSON data by the parseActivities() and parseActions() methods are passed directly to Attachments.load() for downloading without any URL validation or filtering. This allows the Wekan server to fetch arbitrary external or internal resources on behalf of the attacker. The vulnerability carries a CVSS v3.1 base score of 8.1 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N).
Any authenticated user can exploit this vulnerability by importing a maliciously crafted JSON board containing controlled attachment URLs, tricking the server into issuing arbitrary HTTP requests. Successful exploitation enables access to internal network services inaccessible from the public internet, such as cloud instance metadata endpoints that may expose IAM credentials, internal databases, and administrative panels.
The vulnerability has been addressed in Wekan version 8.34, as detailed in the project's GitHub release notes and the specific fix commit. Additional guidance is available in the GitHub Security Lab advisory (GHSL-2026-045_Wekan). Security practitioners should upgrade to version 8.34 or later to mitigate the risk.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-10063
Vulnerability Data
Wekan is an open source kanban tool built with Meteor. Versions 8.32 and 8.33 are vulnerable to Server-Side Request Forgery (SSRF) via attachment URL loading. During board import in Wekan, attachment URLs from user-supplied JSON data are fetched directly by…
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the server without any URL validation or filtering, affecting both the Wekan and Trello import flows. The parseActivities() and parseActions() methods extract user-controlled attachment URLs, which are then passed directly to Attachments.load() for download with no sanitization. This Server-Side Request Forgery (SSRF) vulnerability allows any authenticated user to make the server issue arbitrary HTTP requests, potentially accessing internal network services such as cloud instance metadata endpoints (exposing IAM credentials), internal databases, and admin panels that are otherwise unreachable from outside the network. This issue has been fixed in version 8.34.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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Mitigating Controls (NIST 800-53 r5) AI
Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.
Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.
Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.