# PraisonAI ToolsMCPServer legacy SSE transport accepts attacker Host/Origin and exposes registered tools ## Summary `praisonaiagents.mcp.ToolsMCPServer.run_sse()` builds a Starlette MCP HTTP+SSE server around `mcp.server.sse.SseServerTransport`. The server exposes `/sse` and `/messages/`, but it...
Full CISO analysis pending enrichment.
What systems are affected?
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| PraisonAI | pip | >= 3.10.0, <= 4.6.58 | 4.6.59 |
| PraisonAI Agents | pip | >= 0.6.0, <= 1.6.58 | 1.6.59 |
How severe is it?
What is the attack surface?
What should I do?
Patch available
Update PraisonAI to version 4.6.59
Update PraisonAI Agents to version 1.6.59
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is GHSA-vmf9-xx9w-86wx?
# PraisonAI ToolsMCPServer legacy SSE transport accepts attacker Host/Origin and exposes registered tools ## Summary `praisonaiagents.mcp.ToolsMCPServer.run_sse()` builds a Starlette MCP HTTP+SSE server around `mcp.server.sse.SseServerTransport`. The server exposes `/sse` and `/messages/`, but it does not validate `Origin`, does not validate `Host`, and does not require any authentication. This is reachable through supported PraisonAI code paths that wrap configured MCP server tools and re-expose them over legacy SSE: - `praisonai mcp run <name> --transport sse` - `praisonai serve mcp --name <name> --transport sse` - direct use of `ToolsMCPServer(...).run_sse(...)` or `launch_tools_mcp_server(..., transport="sse")` A malicious website can use DNS rebinding against a local or internal PraisonAI SSE MCP server and send requests with attacker-controlled `Host` and `Origin` headers. The local PoV binds only to `127.0.0.1`, sends an attacker `Host` and `Origin`, lists the registered tool, and invokes it successfully. The same attacker `Origin` is rejected by PraisonAI's current Streamable HTTP transport with HTTP 403. The vulnerability is therefore a sibling transport guard gap in the legacy SSE wrapper, not intended behavior. ## Affected product - Repository: `MervinPraison/PraisonAI` - Packages: - `praisonaiagents` - `praisonai` - Primary component: `src/praisonai-agents/praisonaiagents/mcp/mcp_server.py` - CLI wrappers: - `src/praisonai/praisonai/cli/commands/mcp.py` - `src/praisonai/praisonai/cli/commands/serve.py` - Latest verified release/current head: - `praisonaiagents 1.6.58` - `PraisonAI 4.6.58` - repo head `1ad58ca02975ff1398efeda694ea2ab78f20cf3e` Suggested affected ranges: - `praisonaiagents >= 0.6.0, <= 1.6.58` - `praisonai >= 3.10.0, <= 4.6.58` No fixed version is known at submission time. Confirmed source sweep: ```text v3.0.0 ToolsMCPServer.run_sse helper present, no Origin/Host/auth checks v3.10.0 praisonai mcp run --transport sse wraps configured tools into helper v3.12.3 praisonai serve mcp --name --transport sse wraps configured tools v4.0.0 same vulnerable helper and CLI wrapping paths v4.4.12 same vulnerable helper and CLI wrapping paths v4.5.0 same vulnerable helper and CLI wrapping paths v4.5.56 same vulnerable helper and CLI wrapping paths v4.5.139 same vulnerable helper and CLI wrapping paths v4.6.57 same vulnerable helper and CLI wrapping paths v4.6.58 same vulnerable helper and dynamic PoV succeeds ``` ## Impact If a PraisonAI user starts a local or internal legacy SSE MCP server with registered tools, an attacker who gets that user to visit a malicious website can use DNS rebinding to interact with the SSE server through the browser. The attacker can discover exposed tools and invoke them as the local user. Impact depends on the configured tools. In realistic PraisonAI MCP deployments, registered tools may access local files, repositories, issue trackers, cloud APIs, internal services, or other automation targets. This can lead to confidentiality, integrity, and availability impact for the resources reachable by the exposed tools. The PoV is local-only and harmless. It exposes one marker tool that writes a canary string to a temporary directory. ## Root cause Current `ToolsMCPServer.run_sse()` constructs a Starlette app directly: ```python sse_path = "/sse" messages_path = "/messages/" sse_transport = SseServerTransport(messages_path) async def handle_sse(request: Request): async with sse_transport.connect_sse( request.scope, request.receive, request._send ) as (read_stream, write_stream): await mcp._mcp_server.run( read_stream, write_stream, mcp._mcp_server.create_initialization_options() ) app = Starlette( debug=self._debug, routes=[ Route(sse_path, endpoint=handle_sse), Mount(messages_path, app=sse_transport.handle_post_message), ] ) uvicorn.run(app, host=host, port=port) ``` There is no middleware or route-level check for: - `Origin` - `Host` - `Authorization` - API key - allowed origins / allowed hosts The configured CLI wrapper exposes this path: ```python from praisonaiagents.mcp import MCP, ToolsMCPServer cmd_string = " ".join(cmd) mcp = MCP(cmd_string, timeout=60, env=server.env or {}) tools = mcp.get_tools() mcp_server = ToolsMCPServer(name=name, tools=tools) mcp_server.run_sse(host=host, port=port) ``` By contrast, the current Streamable HTTP transport validates `Origin` and returns HTTP 403 for an invalid origin: ```python origin = request.headers.get("Origin") if not self._validate_origin(origin): return JSONResponse(..., status_code=403) ``` ## Local-only PoV Run from the harness checkout: ```bash uv run --with mcp --with starlette --with uvicorn --with httpx --with anyio \ python submission-bundle/praisonai-prai-cand-015-mcp-sse-host-origin-bypass/poc/pov_prai_cand_015_sse_mcp_host_origin_bypass.py \ --repo-src artifacts/repos/praisonai-v4.6.58/src ``` Observed current-head result: ```json { "candidate": "PRAI-CAND-015", "http_stream_control": { "attacker_origin": "http://attacker.example.test", "rejects_attacker_origin": true, "status_code": 403, "transport": "current_http_stream" }, "source_checks": { "has_auth_check": false, "has_host_check": false, "has_origin_check": false, "has_sse_transport": true, "route_count": 2 }, "sse_probe": { "attacker_headers": { "Host": "attacker.example.test:62380", "Origin": "http://attacker.example.test:62380" }, "bind_host": "127.0.0.1", "marker_value": "executed-from-attacker-origin", "marker_written": true, "server_started": true, "tool_call_content": [ "recorded:executed-from-attacker-origin" ], "tool_call_error": false, "tool_names": [ "record_marker" ], "vulnerable": true }, "vulnerable": true } ``` The PoV: 1. imports the current `ToolsMCPServer`; 2. registers one marker tool; 3. monkey-patches `uvicorn.run` only to capture the exact Starlette app created by `run_sse()`; 4. starts that app on `127.0.0.1`; 5. connects to `/sse` with attacker-controlled `Host` and `Origin`; 6. lists tools and calls the marker tool; 7. runs a control against PraisonAI's current Streamable HTTP transport and confirms the same attacker `Origin` is rejected with HTTP 403. ## Why this is not intended behavior This is not only a trust-model disagreement. PraisonAI's MCP documentation describes Streamable HTTP, WebSocket, and legacy SSE as supported MCP transport mechanisms. The same documentation says the MCP module's security properties include origin validation, authentication headers, and secure session IDs. The transport guide also has a dedicated security section for origin validation as DNS rebinding prevention and authentication. The official MCP specification warns that HTTP transports need origin validation to prevent DNS rebinding, should bind locally for local servers, and should implement authentication. It also says that without those protections, remote websites can interact with local MCP servers. The upstream MCP Python SDK advisory `GHSA-9h52-p55h-vw2f` / `CVE-2025-66416` classifies unauthenticated localhost HTTP/SSE MCP servers without DNS rebinding protection as a High severity issue because malicious websites can invoke tools or access resources exposed by the local MCP server. That advisory also says custom low-level `SseServerTransport` configurations should explicitly configure transport security settings when running unauthenticated localhost servers. PraisonAI's current Streamable HTTP implementation already enforces an Origin guard and rejects the exact attacker Origin used in the PoV. The issue is that the legacy SSE sibling path lacks the same boundary. ## Suggested severity Suggested severity: High. Rationale: - `AV`: the attack uses browser-origin HTTP requests to a local/internal service. - `AC`: practical exploitation requires DNS rebinding or equivalent browser origin setup. - `PR`: no PraisonAI credentials are required by the SSE server. - `UR`: the user must visit an attacker-controlled page. - `S`: the vulnerable transport exposes tools that operate on resources outside the HTTP transport itself. - `C/I/A`: exposed tools may read, mutate, or disrupt local/internal resources depending on the configured MCP server. ## Suggested fix Bring legacy SSE server security in line with the current Streamable HTTP transport, or disable the legacy SSE server path. Recommended changes: 1. Add explicit allowed-origin and allowed-host validation to both `/sse` and `/messages/`. 2. Reject invalid `Origin` with HTTP 403 before opening the SSE stream or accepting POST messages. 3. Validate `Host` for local and internal deployments to mitigate DNS rebinding even when browsers omit or vary `Origin`. 4. Require authentication for all non-stdio MCP HTTP transports, including SSE. 5. Add `--api-key`, `--allowed-origins`, and `--allowed-hosts` options to `praisonai mcp run` and `praisonai serve mcp` when `--transport sse` is used. 6. Where the installed MCP SDK supports it, configure the SDK transport-security settings for low-level `SseServerTransport` usage instead of mounting it without Host/Origin protection. 7. Consider deprecating or disabling `--transport sse` server mode in favor of the current Streamable HTTP implementation. 8. Add regression tests proving that attacker `Host` and `Origin` values are rejected on both `/sse` and `/messages/`, and that current Streamable HTTP and legacy SSE enforce the same boundary.
Is GHSA-vmf9-xx9w-86wx actively exploited?
No confirmed active exploitation of GHSA-vmf9-xx9w-86wx has been reported, but organizations should still patch proactively.
How to fix GHSA-vmf9-xx9w-86wx?
Update to patched version: PraisonAI 4.6.59, PraisonAI Agents 1.6.59.
What is the CVSS score for GHSA-vmf9-xx9w-86wx?
GHSA-vmf9-xx9w-86wx has a CVSS v3.1 base score of 8.3 (HIGH).
What are the technical details?
Original Advisory
# PraisonAI ToolsMCPServer legacy SSE transport accepts attacker Host/Origin and exposes registered tools ## Summary `praisonaiagents.mcp.ToolsMCPServer.run_sse()` builds a Starlette MCP HTTP+SSE server around `mcp.server.sse.SseServerTransport`. The server exposes `/sse` and `/messages/`, but it does not validate `Origin`, does not validate `Host`, and does not require any authentication. This is reachable through supported PraisonAI code paths that wrap configured MCP server tools and re-expose them over legacy SSE: - `praisonai mcp run <name> --transport sse` - `praisonai serve mcp --name <name> --transport sse` - direct use of `ToolsMCPServer(...).run_sse(...)` or `launch_tools_mcp_server(..., transport="sse")` A malicious website can use DNS rebinding against a local or internal PraisonAI SSE MCP server and send requests with attacker-controlled `Host` and `Origin` headers. The local PoV binds only to `127.0.0.1`, sends an attacker `Host` and `Origin`, lists the registered tool, and invokes it successfully. The same attacker `Origin` is rejected by PraisonAI's current Streamable HTTP transport with HTTP 403. The vulnerability is therefore a sibling transport guard gap in the legacy SSE wrapper, not intended behavior. ## Affected product - Repository: `MervinPraison/PraisonAI` - Packages: - `praisonaiagents` - `praisonai` - Primary component: `src/praisonai-agents/praisonaiagents/mcp/mcp_server.py` - CLI wrappers: - `src/praisonai/praisonai/cli/commands/mcp.py` - `src/praisonai/praisonai/cli/commands/serve.py` - Latest verified release/current head: - `praisonaiagents 1.6.58` - `PraisonAI 4.6.58` - repo head `1ad58ca02975ff1398efeda694ea2ab78f20cf3e` Suggested affected ranges: - `praisonaiagents >= 0.6.0, <= 1.6.58` - `praisonai >= 3.10.0, <= 4.6.58` No fixed version is known at submission time. Confirmed source sweep: ```text v3.0.0 ToolsMCPServer.run_sse helper present, no Origin/Host/auth checks v3.10.0 praisonai mcp run --transport sse wraps configured tools into helper v3.12.3 praisonai serve mcp --name --transport sse wraps configured tools v4.0.0 same vulnerable helper and CLI wrapping paths v4.4.12 same vulnerable helper and CLI wrapping paths v4.5.0 same vulnerable helper and CLI wrapping paths v4.5.56 same vulnerable helper and CLI wrapping paths v4.5.139 same vulnerable helper and CLI wrapping paths v4.6.57 same vulnerable helper and CLI wrapping paths v4.6.58 same vulnerable helper and dynamic PoV succeeds ``` ## Impact If a PraisonAI user starts a local or internal legacy SSE MCP server with registered tools, an attacker who gets that user to visit a malicious website can use DNS rebinding to interact with the SSE server through the browser. The attacker can discover exposed tools and invoke them as the local user. Impact depends on the configured tools. In realistic PraisonAI MCP deployments, registered tools may access local files, repositories, issue trackers, cloud APIs, internal services, or other automation targets. This can lead to confidentiality, integrity, and availability impact for the resources reachable by the exposed tools. The PoV is local-only and harmless. It exposes one marker tool that writes a canary string to a temporary directory. ## Root cause Current `ToolsMCPServer.run_sse()` constructs a Starlette app directly: ```python sse_path = "/sse" messages_path = "/messages/" sse_transport = SseServerTransport(messages_path) async def handle_sse(request: Request): async with sse_transport.connect_sse( request.scope, request.receive, request._send ) as (read_stream, write_stream): await mcp._mcp_server.run( read_stream, write_stream, mcp._mcp_server.create_initialization_options() ) app = Starlette( debug=self._debug, routes=[ Route(sse_path, endpoint=handle_sse), Mount(messages_path, app=sse_transport.handle_post_message), ] ) uvicorn.run(app, host=host, port=port) ``` There is no middleware or route-level check for: - `Origin` - `Host` - `Authorization` - API key - allowed origins / allowed hosts The configured CLI wrapper exposes this path: ```python from praisonaiagents.mcp import MCP, ToolsMCPServer cmd_string = " ".join(cmd) mcp = MCP(cmd_string, timeout=60, env=server.env or {}) tools = mcp.get_tools() mcp_server = ToolsMCPServer(name=name, tools=tools) mcp_server.run_sse(host=host, port=port) ``` By contrast, the current Streamable HTTP transport validates `Origin` and returns HTTP 403 for an invalid origin: ```python origin = request.headers.get("Origin") if not self._validate_origin(origin): return JSONResponse(..., status_code=403) ``` ## Local-only PoV Run from the harness checkout: ```bash uv run --with mcp --with starlette --with uvicorn --with httpx --with anyio \ python submission-bundle/praisonai-prai-cand-015-mcp-sse-host-origin-bypass/poc/pov_prai_cand_015_sse_mcp_host_origin_bypass.py \ --repo-src artifacts/repos/praisonai-v4.6.58/src ``` Observed current-head result: ```json { "candidate": "PRAI-CAND-015", "http_stream_control": { "attacker_origin": "http://attacker.example.test", "rejects_attacker_origin": true, "status_code": 403, "transport": "current_http_stream" }, "source_checks": { "has_auth_check": false, "has_host_check": false, "has_origin_check": false, "has_sse_transport": true, "route_count": 2 }, "sse_probe": { "attacker_headers": { "Host": "attacker.example.test:62380", "Origin": "http://attacker.example.test:62380" }, "bind_host": "127.0.0.1", "marker_value": "executed-from-attacker-origin", "marker_written": true, "server_started": true, "tool_call_content": [ "recorded:executed-from-attacker-origin" ], "tool_call_error": false, "tool_names": [ "record_marker" ], "vulnerable": true }, "vulnerable": true } ``` The PoV: 1. imports the current `ToolsMCPServer`; 2. registers one marker tool; 3. monkey-patches `uvicorn.run` only to capture the exact Starlette app created by `run_sse()`; 4. starts that app on `127.0.0.1`; 5. connects to `/sse` with attacker-controlled `Host` and `Origin`; 6. lists tools and calls the marker tool; 7. runs a control against PraisonAI's current Streamable HTTP transport and confirms the same attacker `Origin` is rejected with HTTP 403. ## Why this is not intended behavior This is not only a trust-model disagreement. PraisonAI's MCP documentation describes Streamable HTTP, WebSocket, and legacy SSE as supported MCP transport mechanisms. The same documentation says the MCP module's security properties include origin validation, authentication headers, and secure session IDs. The transport guide also has a dedicated security section for origin validation as DNS rebinding prevention and authentication. The official MCP specification warns that HTTP transports need origin validation to prevent DNS rebinding, should bind locally for local servers, and should implement authentication. It also says that without those protections, remote websites can interact with local MCP servers. The upstream MCP Python SDK advisory `GHSA-9h52-p55h-vw2f` / `CVE-2025-66416` classifies unauthenticated localhost HTTP/SSE MCP servers without DNS rebinding protection as a High severity issue because malicious websites can invoke tools or access resources exposed by the local MCP server. That advisory also says custom low-level `SseServerTransport` configurations should explicitly configure transport security settings when running unauthenticated localhost servers. PraisonAI's current Streamable HTTP implementation already enforces an Origin guard and rejects the exact attacker Origin used in the PoV. The issue is that the legacy SSE sibling path lacks the same boundary. ## Suggested severity Suggested severity: High. Rationale: - `AV`: the attack uses browser-origin HTTP requests to a local/internal service. - `AC`: practical exploitation requires DNS rebinding or equivalent browser origin setup. - `PR`: no PraisonAI credentials are required by the SSE server. - `UR`: the user must visit an attacker-controlled page. - `S`: the vulnerable transport exposes tools that operate on resources outside the HTTP transport itself. - `C/I/A`: exposed tools may read, mutate, or disrupt local/internal resources depending on the configured MCP server. ## Suggested fix Bring legacy SSE server security in line with the current Streamable HTTP transport, or disable the legacy SSE server path. Recommended changes: 1. Add explicit allowed-origin and allowed-host validation to both `/sse` and `/messages/`. 2. Reject invalid `Origin` with HTTP 403 before opening the SSE stream or accepting POST messages. 3. Validate `Host` for local and internal deployments to mitigate DNS rebinding even when browsers omit or vary `Origin`. 4. Require authentication for all non-stdio MCP HTTP transports, including SSE. 5. Add `--api-key`, `--allowed-origins`, and `--allowed-hosts` options to `praisonai mcp run` and `praisonai serve mcp` when `--transport sse` is used. 6. Where the installed MCP SDK supports it, configure the SDK transport-security settings for low-level `SseServerTransport` usage instead of mounting it without Host/Origin protection. 7. Consider deprecating or disabling `--transport sse` server mode in favor of the current Streamable HTTP implementation. 8. Add regression tests proving that attacker `Host` and `Origin` values are rejected on both `/sse` and `/messages/`, and that current Streamable HTTP and legacy SSE enforce the same boundary.
Weaknesses (CWE)
CWE-306 Missing Authentication for Critical Function
Primary
CWE-346 Origin Validation Error
Primary
CWE-862 Missing Authorization
Primary
CWE-306 — Missing Authentication for Critical Function: The product does not perform any authentication for functionality that requires a provable user identity or consumes a significant amount of resources.
- [Architecture and Design] Divide the software into anonymous, normal, privileged, and administrative areas. Identify which of these areas require a proven user identity, and use a centralized authentication capability. Identify all potential communication channels, or other means of interaction with the software, to ensure that all channels are appropriately protected, including those channels that are assumed to be accessible only by authorized parties. Developers sometimes perform authentication at the primary channel, but open up a secondary channel that is assumed to be private. For example, a login mechanism may be listening on one network port, but after successful authentication, it may open up a second port where it waits for the connection, but avoids authentication because it assumes that only the authenticated party will connect to the port. In general, if the software or protocol allows a single session or user state to persist across multiple connections or channels, authentication and appropriate
- [Architecture and Design] For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
Source: MITRE CWE corpus.
CVSS Vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:H References
Timeline
Related Vulnerabilities
GHSA-vmmj-pfw7-fjwp 9.9 Analysis pending
Same package: praisonai CVE-2026-47392 9.9 praisonaiagents: RCE via Python sandbox bypass
Same package: praisonai GHSA-9qhq-v63v-fv3j 9.8 PraisonAI: RCE via MCP command injection
Same package: praisonai GHSA-vc46-vw85-3wvm 9.8 PraisonAI: RCE via malicious workflow YAML execution
Same package: praisonai CVE-2026-39890 9.8 PraisonAI: YAML deserialization enables unauthenticated RCE
Same package: praisonai