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GHSA-3qg8-5g3r-79v5

CRITICAL

GHSA-3qg8-5g3r-79v5 is a critical-severity (CVSS 9.8) CWE-321 vulnerability in praisonai-platform. O3 Security confirms whether GHSA-3qg8-5g3r-79v5 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

praisonai-platform: JWT signing key defaults to hardcoded "dev-secret-change-me", allowing token forgery for any user when PLATFORM_ENV is unset

Also known asCVE-2026-47410PYSEC-2026-479
Published
May 29, 2026
Updated
Jun 29, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Aug 20, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

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.
  • A successful exploit gives an attacker total control of the affected component, not partial access.

Exploitation and automatability from CISA’s SSVC triage for GHSA-3qg8-5g3r-79v5.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs29th percentile — riskier than 29% of all scored CVEsHighest risk
0.00%0.29%0.57%0.86%0.4%0.4%Aug 26Aug 26

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-3qg8-5g3r-79v5 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 0 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

1 pkg affected
🐍praisonai-platform

Real-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

Type: Insecure default cryptographic key. The JWT signing secret defaults to the hardcoded literal "dev-secret-change-me" when PLATFORM_JWT_SECRET is unset. A safety check exists but only fires when PLATFORM_ENV != "dev"; the default value of PLATFORM_ENV is "dev", so the check is silently bypassed in any deployment that does not explicitly opt out. The attacker reads the literal from this public source file, mints a JWT with arbitrary sub and email claims, and authenticates as any existing user (including workspace owners and admins). File: src/praisonai-platform/praisonai_platform/services/auth_service.py, lines 25-36 and 114-137. Root cause: the production-mode guard checks os.environ.get("PLATFORM_ENV", "dev") != "dev" — but the default is "dev", so a clean deployment that just imports the package and runs uvicorn praisonai_platform.api.app:app proceeds with the hardcoded secret. The package documentation does not warn loudly enough that BOTH variables must be set; the guard suppresses itself when either condition is missed. JWT verification at line 129 trusts whatever the token says (sub, email, name) once the HMAC-SHA256 signature validates against the publicly-known secret. Since the verifier accepts forged tokens for any user_id, the attacker becomes that user across every authenticated route.

Affected Code

File: src/praisonai-platform/praisonai_platform/services/auth_service.py, lines 25-36 and 114-137.

_DEFAULT_SECRET = "dev-secret-change-me"
JWT_SECRET = os.environ.get("PLATFORM_JWT_SECRET", _DEFAULT_SECRET)            # <-- BUG: silent fallback
JWT_ALGORITHM = "HS256"
JWT_TTL_SECONDS = int(os.environ.get("PLATFORM_JWT_TTL", str(30 * 24 * 3600)))

if JWT_SECRET == _DEFAULT_SECRET and os.environ.get("PLATFORM_ENV", "dev") != "dev":
    raise RuntimeError(                                                          # <-- only fires if PLATFORM_ENV is non-default
        "PLATFORM_JWT_SECRET must be set to a strong random value in production. "
        "Set PLATFORM_ENV=dev to suppress this check during development."
    )

# ...

def _issue_token(self, user: User) -> str:
    payload = {
        "sub": user.id,
        "email": user.email,
        "name": user.name,
        "iat": now,
        "exp": now + timedelta(seconds=JWT_TTL_SECONDS),
    }
    return jwt.encode(payload, JWT_SECRET, algorithm=JWT_ALGORITHM)             # signs with the hardcoded secret

def _verify_token(self, token: str) -> Optional[AuthIdentity]:
    try:
        payload = jwt.decode(token, JWT_SECRET, algorithms=[JWT_ALGORITHM])     # verifies with the hardcoded secret
        return AuthIdentity(
            id=payload["sub"],                                                  # <-- attacker chooses sub
            type="user",
            email=payload.get("email"),
            name=payload.get("name"),
        )
    except jwt.InvalidTokenError:
        return None

Why it's wrong: the guard's predicate is wrong. The intent — "warn loudly if a production deployment ships without setting the secret" — is correct, but the implementation requires the operator to set BOTH variables (PLATFORM_JWT_SECRET and PLATFORM_ENV != "dev") for the guard to fire. A common deployment misconfiguration is to set only one (or neither): pip install praisonai-platform, uvicorn praisonai_platform.api.app:app --host 0.0.0.0, done. The package starts with no warning, the JWT signing key is the literal string sitting in this source file, and any attacker who reads the GitHub repo can forge tokens. The standard pattern is to fail-closed at import time when the secret is the default, regardless of any environment variable. The code at line 32-36 inverts that: it fails-open by default and only fails-closed when the operator opts in.

Exploit Chain

  1. Attacker reads auth_service.py:25 from the public GitHub repo (MervinPraison/PraisonAI) and notes _DEFAULT_SECRET = "dev-secret-change-me". State: attacker holds the JWT signing key.
  2. Attacker identifies a target deployment of praisonai-platform (Shodan search for the FastAPI route /auth/me, the praisonai_platform user-agent, or any indexed installation). Attacker registers a free account at POST /auth/register to confirm the deployment is live and to obtain at least one valid JWT token whose structure they can copy. State: attacker holds a live account.
  3. Attacker enumerates the platform's user IDs via any of the IDOR primitives filed as separate advisories (issue created_by, agent owner_id, comment author_id, member list via the workspace-member-IDOR), or simply queries /auth/me with their own token to learn the UUID format. State: attacker has a target user UUID T_id (e.g. a workspace owner of any tenant).
  4. Attacker forges a JWT:
    import jwt, time
    payload = {"sub": "T_id", "email": "[email protected]", "name": "victim",
               "iat": int(time.time()), "exp": int(time.time()) + 3600}
    token = jwt.encode(payload, "dev-secret-change-me", algorithm="HS256")
    
    State: attacker holds a JWT that the deployment's _verify_token will accept as authentic.
  5. Attacker sends GET /auth/me with Authorization: Bearer <forged_token>. _verify_token decodes the token using JWT_SECRET = "dev-secret-change-me", the HMAC matches, an AuthIdentity(id="T_id", ...) is returned. The route resolves the actual User row by User.id == "T_id" and returns the victim's record. State: attacker is authenticated as the victim.
  6. Attacker pivots: POST /workspaces/{id}/members to add themselves as owner (chaining with the companion priv-esc advisory becomes redundant — the attacker is already the victim), PATCH /workspaces/{id} to flip settings, DELETE /workspaces/{id} to wipe data, or simply GET /workspaces/{id}/issues/... to exfiltrate everything the victim could read.
  7. Final state: full account takeover for any user_id on any deployment that did not explicitly set both PLATFORM_JWT_SECRET and PLATFORM_ENV=production. No prior auth, no user interaction, no special network position required.

Security Impact

Severity: sec-critical. CVSS 9.8: network attack, low complexity, no privileges, no user interaction, scope unchanged (the JWT layer is the same component the attacker pivots through), high confidentiality, high integrity, high availability (chaining with delete_workspace from the companion advisory). Attacker capability: mint a JWT for any user_id on the deployment with the public secret, becoming that user across every authenticated route. No prior authentication required — the attacker only needs the package to be deployed and reachable. This is a pre-auth full account takeover. Preconditions: praisonai-platform is deployed without explicitly setting BOTH PLATFORM_JWT_SECRET AND PLATFORM_ENV=<non-dev>. The default deployment pattern (pip install, uvicorn ...) hits this. The attacker needs network reachability to the API. Differential: source-inspection-verified end-to-end. The asymmetry is between the documented intent of the guard (warn in production) and its actual semantics (warn only when the operator sets PLATFORM_ENV to a non-"dev" value). With the suggested fix below, the guard fails-closed: any deployment that did not set PLATFORM_JWT_SECRET raises at import time, regardless of PLATFORM_ENV. The forged-token attack returns None from _verify_token because the signing key the attacker used ("dev-secret-change-me") no longer matches the deployment's secret.

Suggested Fix

Fail-closed at import time when the secret is the default, irrespective of PLATFORM_ENV. Permit explicit dev-mode opt-in with a separate variable that is NEVER the default.

--- a/src/praisonai-platform/praisonai_platform/services/auth_service.py
+++ b/src/praisonai-platform/praisonai_platform/services/auth_service.py
@@ -23,12 +23,16 @@
 _pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")

-_DEFAULT_SECRET = "dev-secret-change-me"
-JWT_SECRET = os.environ.get("PLATFORM_JWT_SECRET", _DEFAULT_SECRET)
+JWT_SECRET = os.environ.get("PLATFORM_JWT_SECRET")
 JWT_ALGORITHM = "HS256"
 JWT_TTL_SECONDS = int(os.environ.get("PLATFORM_JWT_TTL", str(30 * 24 * 3600)))

-if JWT_SECRET == _DEFAULT_SECRET and os.environ.get("PLATFORM_ENV", "dev") != "dev":
-    raise RuntimeError(
-        "PLATFORM_JWT_SECRET must be set to a strong random value in production. "
-        "Set PLATFORM_ENV=dev to suppress this check during development."
-    )
+if not JWT_SECRET:
+    if os.environ.get("PRAISONAI_PLATFORM_ALLOW_INSECURE_JWT") != "1":
+        raise RuntimeError(
+            "PLATFORM_JWT_SECRET must be set to a strong random value (min 32 bytes). "
+            "For local development, set PRAISONAI_PLATFORM_ALLOW_INSECURE_JWT=1 to "
+            "auto-generate an ephemeral random secret per process."
+        )
+    import secrets
+    JWT_SECRET = secrets.token_urlsafe(32)
+    # ephemeral; tokens issued before restart will not validate after restart
+    import warnings
+    warnings.warn("Using ephemeral JWT secret; set PLATFORM_JWT_SECRET in production")

The guard now fails-closed: an unset PLATFORM_JWT_SECRET raises at import unless the operator explicitly opts into dev mode with a separate variable. The dev-mode path generates a per-process random secret instead of using a hardcoded one, so even leaked dev-mode tokens cannot be used against another deployment. Add a startup banner that prints the JWT secret's hash prefix (not the secret itself) so operators can confirm at runtime which key is in use.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIpraisonai-platformall versions0.1.4

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for praisonai-platform. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update praisonai-platform to 0.1.4 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-3qg8-5g3r-79v5 is resolved across your whole dependency graph.

  3. 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.

  4. How O3 protects you

    O3 pinpoints whether GHSA-3qg8-5g3r-79v5 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-3qg8-5g3r-79v5. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## Summary **Type:** Insecure default cryptographic key. The JWT signing secret defaults to the hardcoded literal `"dev-secret-change-me"` when `PLATFORM_JWT_SECRET` is unset. A safety check exists but only fires when `PLATFORM_ENV != "dev"`; the default value of `PLATFORM_ENV` is `"dev"`, so the check is silently bypassed in any deployment that does not explicitly opt out. The attacker reads the literal from this public source file, mints a JWT with arbitrary `sub` and `email` claims, and authenticates as any existing user (including workspace owners and admins). **File:** `src/praisonai-pla
O3 Security · Impact-Aware SCA

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