CVE-2026-77243 is a high-severity (CVSS 8.8) CWE-862 vulnerability in mcp-atlassian. A fix is available for mcp-atlassian — see the affected versions and patch details below.
MCP Atlassian: ENABLED_TOOLS / Toolset authorization bypass
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
- A successful exploit gives an attacker total control of the affected component, not partial access.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-77243.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
How urgent is this, really
CVE-2026-77243 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.
Where this sits among everything scored
Of 395,249 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.
Real-World Exposure
mcp-atlassianReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Summary
ENABLED_TOOLS and TOOLSETS filters are enforced at tools/list time only. tools/call dispatches from the full unfiltered tool registry (73 tools). Any user with access to the server endpoint that knows a tool name can invoke it directly. Tool names are not secret since mcp-atlassian is open source. Any direct JSON-RPC call bypasses the restriction entirely.
READ_ONLY_MODE is not affected: it has dual enforcement at list time (_list_tools_mcp) and call time @check_write_access decorator. The developers applied the correct pattern to READ_ONLY_MODE but not to ENABLED_TOOLS or toolsets - confirming this is an implementation oversight.
Impact
Any user with access to the MCP server's HTTP endpoint can invoke any of the 73 registered tools regardless of ENABLED_TOOLS or TOOLSETS configuration - including write and delete operations on Jira issues, Confluence pages, etc. Operators deploying mcp-atlassian via Streamable HTTP rely on ENABLED_TOOLS to enforce least-privilege access; the bypass invalidates that model entirely.
The security impact concentrates in multi-user / HTTP-transport deployments, where the tool filter is a trust boundary between clients. In a single-user stdio deployment there is no second principal to defend against.
Details
In src/mcp_atlassian/servers/main.py, AtlassianMCP overrides _list_tools_mcp and applies the TOOLSETS and ENABLED_TOOLS filters before returning the tool list to clients. The _call_tool_mcp handler is not overridden. FastMCP's default _call_tool_mcp resolves the tool from the local tool manager / mounted servers, the full unfiltered inventory, so the filters never apply at call time.
Proof of Concept
All calls are issued against the HTTP transport, with ENABLED_TOOLS=jira_search configured - only jira_search should be reachable.
Step 1 - negative control: tools/list correctly filters by ENABLED_TOOLS:
req → tools/list
← { "tools": [ { "name": "jira_search" } ] } # only 1 tool; jira_get_issue / jira_create_issue absent
Step 2 - confidentiality bypass: tools/call dispatches jira_get_issue despite its exclusion from the list:
req → tools/call jira_get_issue { "issue_key": "SEC-1" }
← { ... issue fields (summary, status, ...) ... } # executed; not blocked
Step 3 - integrity bypass: tools/call dispatches the write tool jira_create_issue:
req → tools/call jira_create_issue
{ "project_key": "SEC", "summary": "[PoC] ENABLED_TOOLS bypass", "issue_type": "Task" }
← { ... "key": "SEC-<n>" ... } # issue created despite ENABLED_TOOLS=jira_search
Step 1 proves the filter exists and is enforced at list time, so Steps 2–3 are a genuine authorization bypass, not an open/unconfigured endpoint. The same result holds with TOOLSETS=jira_read configured: write tools are absent from tools/list yet execute via tools/call.
Local reproduction
Extract enabled_tools_bypass_tool_authorization.zip:
# Fill Atlassian credentials in docker-compose.yml (ENABLED_TOOLS=jira_search is preset);
# ensure issue SEC-1 exists, or update the project/issue key in poc.sh
docker compose up -d # mcp-atlassian, streamable-http, 0.0.0.0, ENABLED_TOOLS=jira_search
./poc.sh # exits 0 on success
docker compose down -v
Requires Docker, curl, jq, and an Atlassian Cloud site with a Jira project (free tier works). The script runs the three steps above: it confirms tools/list returns only jira_search, then dispatches the excluded jira_get_issue (read) and jira_create_issue (write) via tools/call. The test issue it creates is deleted automatically on exit.
Credit
Discovered by Francisco Rosales of Manifold Security
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | mcp-atlassian | all versions | 0.22.0pip install --upgrade 'mcp-atlassian==0.22.0' |
Affected Products
mcp atlassianmcp-atlassianDetection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for mcp-atlassian, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update mcp-atlassian to 0.22.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-77243 is resolved across your whole dependency graph.
Workarounds
Put an independent control in front of the weakness: restrict the affected endpoint or interface to trusted networks, require an additional authentication factor or proxy-level check, and invalidate existing sessions and credentials in case the flaw has already been used.
Frequently Asked Questions
Is CVE-2026-77243 in your dependencies?
Find it across PyPI, including transitive dependencies.