Resource exhaustion in Openml Openml.org
CVE-2025-55796
The openml/openml.org web application version v2.0.20241110 uses predictable MD5-based tokens for critical user workflows such as signup confirmation, password resets, email confirmation resends, and email change confirmation. These tokens are generated by hashing the current timestamp formatted as "%d %H:%M:%S" without incorporating any user-specific data or cryptographic randomness. This predictability allows remote attackers to brute-force valid tokens within a small time window, enabling unauthorized account confirmation, password resets, and email change approvals, potentially leading to account takeover.
Vulnerability class: DoS (Denial of Service)
EPSS: 0.006 (44.2th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.
Affected products
- Openml Openml.org
- N/a — versions n/a
Weakness classification (CWE)
References
- cve@mitre.org (Product)
- cve@mitre.org (Product)
- cve@mitre.org (Exploit, Vendor Advisory)
Frequently asked questions
- What is CVE-2025-55796?
- CVE-2025-55796 is a high-severity vulnerability in Openml Openml.org, classified under Uncontrolled Resource Consumption. CVSS score: 7.5/10. Published 2025-11-18.
- How severe is CVE-2025-55796?
- High severity. CVSS v3 base score is 7.5 out of 10.