CVE-2026-19369: Server-Side Request Forgery in KS-GEN-AI jira-mcp-server
CVE-2026-19369 is a server-side request forgery (SSRF) vulnerability in KS-GEN-AI jira-mcp-server version 0.2.0. It arises from improper handling of the imageUrl argument in the add_attachment_from_public_url component, specifically in the axios.get call within src/index.ts. Exploitation requires local access. The vendor has been informed but has not yet responded or issued a fix. The CVSS score is 4.8, indicating medium severity.
AI Analysis
Technical Summary
This vulnerability in KS-GEN-AI jira-mcp-server 0.2.0 allows an attacker with local access to manipulate the imageUrl argument passed to axios.get in the add_attachment_from_public_url component, resulting in server-side request forgery. This could enable the attacker to make unauthorized requests from the server to internal or external resources. The issue was reported early to the project, but no vendor response or patch is currently available.
Potential Impact
An attacker with local access can exploit this SSRF vulnerability to induce the server to send crafted requests to arbitrary URLs. This may lead to unauthorized internal network scanning or access to internal services, depending on the server environment and network configuration. The vulnerability does not require user interaction and has low complexity but limited scope due to the local access requirement.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since the vendor has not responded or issued a fix, users should restrict local access to the jira-mcp-server and monitor for suspicious activity related to the add_attachment_from_public_url functionality. Avoid exposing the vulnerable version (0.2.0) in untrusted environments until a patch or official mitigation is available.
CVE-2026-19369: Server-Side Request Forgery in KS-GEN-AI jira-mcp-server
Description
CVE-2026-19369 is a server-side request forgery (SSRF) vulnerability in KS-GEN-AI jira-mcp-server version 0.2.0. It arises from improper handling of the imageUrl argument in the add_attachment_from_public_url component, specifically in the axios.get call within src/index.ts. Exploitation requires local access. The vendor has been informed but has not yet responded or issued a fix. The CVSS score is 4.8, indicating medium severity.
CVSS v4.0
Score 4.8medium
Affected software
pkg:github/ks-gen-ai/jira-mcp-servercpe:2.3:a:ks-gen-ai:jira-mcp-server:*:*:*:*:*:*:*:*Run 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
This vulnerability in KS-GEN-AI jira-mcp-server 0.2.0 allows an attacker with local access to manipulate the imageUrl argument passed to axios.get in the add_attachment_from_public_url component, resulting in server-side request forgery. This could enable the attacker to make unauthorized requests from the server to internal or external resources. The issue was reported early to the project, but no vendor response or patch is currently available.
Potential Impact
An attacker with local access can exploit this SSRF vulnerability to induce the server to send crafted requests to arbitrary URLs. This may lead to unauthorized internal network scanning or access to internal services, depending on the server environment and network configuration. The vulnerability does not require user interaction and has low complexity but limited scope due to the local access requirement.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since the vendor has not responded or issued a fix, users should restrict local access to the jira-mcp-server and monitor for suspicious activity related to the add_attachment_from_public_url functionality. Avoid exposing the vulnerable version (0.2.0) in untrusted environments until a patch or official mitigation is available.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-08-09T07:02:44.116Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a78e98bbf8831d5393edac5
Added to database: 08/09/2026, 20:56:43 UTC
Last enriched: 08/09/2026, 21:16:29 UTC
Last updated: 08/09/2026, 21:23:44 UTC
Views: 4
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