GHSA-6rmh-7xcm-cpxj — praisonai
HIGHGHSA-6rmh-7xcm-cpxj is a high-severity (CVSS 7.3) Missing Authentication vulnerability in praisonai. A fix is available for praisonai — see the affected versions and patch details below.
PraisonAI ships and generates a legacy API server with authentication disabled by default, allowing unauthenticated workflow execution
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.
- CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
Exploitation and automatability from CISA’s SSVC triage for GHSA-6rmh-7xcm-cpxj.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
How urgent is this, really
GHSA-6rmh-7xcm-cpxj plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.
Where this sits among everything scored
Of 379,145 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.
Real-World Exposure
praisonaiReal-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
PraisonAI ships a legacy Flask API server with authentication disabled by default. When that server is used, any caller that can reach it can access /agents and trigger the configured agents.yaml workflow through /chat without providing a token.
Details
The vulnerable server is the shipped src/praisonai/api_server.py entrypoint.
AUTH_ENABLED = FalseandAUTH_TOKEN = Noneare hard-coded at [src/praisonai/api_server.py](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/api_server.py:15).check_auth()returnsTruewhenever authentication is disabled, so both protected routes fail open by design at [src/praisonai/api_server.py](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/api_server.py:18).POST /chatonly checks that the request JSON contains amessagekey and then runsPraisonAI(agent_file="agents.yaml").run()at [src/praisonai/api_server.py](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/api_server.py:31).GET /agentsis guarded by the same no-op authentication check and returns agent metadata at [src/praisonai/api_server.py](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/api_server.py:55).- When launched directly, the same script binds to
0.0.0.0:8080at src/praisonai/api_server.py.
The deploy subsystem keeps the same insecure authentication default:
APIConfigdefaultsauth_enabledtoFalsein [src/praisonai/praisonai/deploy/models.py](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/deploy/models.py:23).- The generated sample API deployment YAML recommends
host: 0.0.0.0together withauth_enabled: falsein [src/praisonai/praisonai/deploy/schema.py](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/deploy/schema.py:108).
For scope clarity: the newer serve agents command is safer by default, because it binds to 127.0.0.1 and supports --api-key in [src/praisonai/praisonai/cli/commands/serve.py](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/cli/commands/serve.py:155). This report is about the shipped legacy API server and the generated/sample API deployment path above.
Version scope:
v2.5.6already ships the samesrc/praisonai/api_server.pyimplementation.- The current PyPI release on May 1, 2026 is
4.6.33, and it still ships the same unauthenticated server logic.
PoC
The following route-level reproduction was verified locally and proves that the shipped api_server.py exposes /agents and /chat without authentication.
- From the repository root, create a throwaway environment with the server's direct Flask dependencies:
python3 -m venv /tmp/praisonai-ghsa-venv
/tmp/praisonai-ghsa-venv/bin/pip install flask flask-cors
- Execute the shipped
src/praisonai/api_server.pyunder a minimal stub forpraisonai.PraisonAIso only the server auth logic is exercised:
/tmp/praisonai-ghsa-venv/bin/python - <<'PY'
import importlib.util
import pathlib
import sys
import types
stub = types.ModuleType("praisonai")
class DummyPraisonAI:
def __init__(self, agent_file="agents.yaml"):
self.agent_file = agent_file
def run(self):
return {"ran": True, "agent_file": self.agent_file}
stub.PraisonAI = DummyPraisonAI
sys.modules["praisonai"] = stub
path = pathlib.Path("src/praisonai/api_server.py").resolve()
spec = importlib.util.spec_from_file_location("api_server_local", path)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
client = mod.app.test_client()
print(client.get("/agents").status_code, client.get("/agents").get_data(as_text=True))
print(client.post("/chat", json={"message": "hello"}).status_code, client.post("/chat", json={"message": "hello"}).get_data(as_text=True))
PY
- Observed result:
200 {"agent_file":"agents.yaml","agents":["default"]}
200 {"response":{"agent_file":"agents.yaml","ran":true},"status":"success"}
Both endpoints succeed without any Authorization header.
Impact
Any reachable caller can invoke the legacy API server's protected functionality without a token.
At minimum, this allows:
- unauthenticated enumeration of the configured agent file through
/agents - unauthenticated triggering of the locally configured
agents.yamlworkflow through/chat - repeated consumption of model/API quota and any other side effects performed by that workflow
- exposure of whatever result
PraisonAI.run()returns to the unauthenticated caller
This is not the same as arbitrary prompt injection by itself, because the current /chat handler ignores the submitted message value and simply runs the configured workflow. The impact therefore depends on what the operator's agents.yaml is allowed to do, but the authentication bypass is unconditional in the shipped legacy server.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | praisonai | ≥ 2.5.6&&< 4.6.34 | 4.6.34pip install --upgrade 'praisonai==4.6.34' |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for praisonai, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update praisonai to 4.6.34 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-6rmh-7xcm-cpxj is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-6rmh-7xcm-cpxj can be triaged on real exposure rather than presence alone.
Tailored to GHSA-6rmh-7xcm-cpxj. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
How to detect GHSA-6rmh-7xcm-cpxj
A community-maintained Nuclei template exists for this CVE. You can scan for it directly:
nuclei -id ghsa-6rmh-7xcm-cpxj -u https://target- Template
- PraisonAI - Authentication Bypass
- Severity
- high
- Impact
- Remote attackers can access and trigger agent workflows without authentication, potentially leading to unauthorized actions or data exposure.
- Remediation
- Upgrade to version 4.6.34 or later.
Template by ProjectDiscovery nuclei-templates (jnoza), MIT licensed. View the full template. Scan only systems you are authorised to test.
Frequently Asked Questions
Is GHSA-6rmh-7xcm-cpxj in your dependencies?
O3 Security finds GHSA-6rmh-7xcm-cpxj across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.