CVE-2026-19369 in jira-mcp-server
Summary
by MITRE • 08/10/2026
A vulnerability was found in KS-GEN-AI jira-mcp-server 0.2.0. This affects the function axios.get of the file src/index.ts of the component add_attachment_from_public_url. The manipulation of the argument imageUrl results in server-side request forgery. The attack requires a local approach. The project was informed of the problem early through an issue report but has not responded yet.
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Analysis
by VulDB Data Team • 08/10/2026
The vulnerability identified in KS-GEN-AI jira-mcp-server version 0.2.0 represents a critical server-side request forgery flaw that stems from improper input validation within the add_attachment_from_public_url component. This issue specifically manifests in the axios.get function call within src/index.ts, where the imageUrl parameter is processed without adequate sanitization or validation measures. The vulnerability classification aligns with CWE-918 which describes server-side request forgery vulnerabilities that occur when applications fail to properly validate and sanitize user-supplied URLs before using them in HTTP requests.
The technical exploitation of this flaw requires local access to the system, indicating that an attacker must already have compromised credentials or system privileges to leverage this vulnerability effectively. This local requirement significantly reduces the attack surface but does not eliminate the potential for serious damage once an attacker has established a foothold within the environment. The vulnerability enables an authenticated attacker with local access to potentially redirect HTTP requests through the affected server, allowing them to access internal network resources that would otherwise be protected by firewalls or other network security controls.
The operational impact of this vulnerability extends beyond simple data exfiltration as it could enable attackers to perform reconnaissance activities against internal systems, potentially leading to further privilege escalation or lateral movement within the network infrastructure. The fact that the project maintainers were informed through an issue report but have not yet responded suggests a potential delay in patch development or deployment that leaves systems exposed to exploitation. This vulnerability directly impacts the integrity and confidentiality of data processing within the jira-mcp-server environment, particularly when dealing with attachment handling workflows.
Security mitigations for this vulnerability should include immediate implementation of input validation controls that sanitize all URL parameters before they are processed by the axios.get function. The solution must enforce strict URL format validation and reject any inputs that do not conform to expected patterns or originate from trusted domains. Additionally, network segmentation strategies should be implemented to limit local access privileges and reduce the attack surface for local exploitation attempts. Regular security audits and vulnerability scanning should be conducted to identify similar issues within other components of the application stack, as this represents a pattern of insufficient input validation that may exist elsewhere in the codebase. The ATT&CK framework's T1071.004 technique for application layer protocol tunneling could be relevant in understanding how attackers might leverage this vulnerability for network infiltration.
Organizations utilizing this software should prioritize immediate patching or mitigation strategies, particularly if local access is possible through legitimate administrative accounts or compromised credentials. The vulnerability demonstrates a fundamental flaw in the security architecture where user input directly influences outbound network requests without proper validation mechanisms. Implementation of web application firewalls and API security controls could provide additional layers of protection while permanent fixes are developed and deployed. Regular monitoring for suspicious network activity patterns should also be implemented to detect potential exploitation attempts of this vulnerability, as the impact could range from unauthorized data access to complete system compromise depending on the attacker's objectives and privileges.