High · published November 18, 2025
⚡ A predictable token system is the villain here! This vulnerability in openml.org allows remote attackers to brute-force critical user workflows like password resets and account confirmations. 🔥 Think of it like a restaurant giving out reservation codes based solely on the time you called — if your friend knows when you called, they can guess your code and snag your table! An attacker could easily take over a user’s account by obtaining valid tokens within a short timeframe, leading to unauthorized access, account hijacking, or even tampering with personal information. The potential for chaos is absolutely devastating!
Think of it like a restaurant giving out reservation codes based solely on the time you called — if your friend knows when you called, they can guess your code and snag your table! This vulnerability stems from using predictable MD5-based tokens generated from timestamps, lacking user-specific data or cryptographic randomness, making them susceptible to brute-force attacks.
An attacker could easily take over a user’s account by obtaining valid tokens within a short timeframe, leading to unauthorized access, account hijacking, or even tampering with personal information. The potential for chaos is absolutely devastating! Immediately patch to a version that incorporates secure token generation, ideally using a combination of user-specific data and robust randomness. Review your token management processes to prevent future predictability issues! You've got this! By taking these steps, you're not just solving a problem; you're becoming a security hero! 🛡️
| Product | Versions | Fixed in |
|---|---|---|
| openml/openml_frontend | < 2.0.20251111 | 2.0.20251111 |