CVE-2025-55796
Unknown Unknown - Not Provided

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Vulnerability report for CVE-2025-55796, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2025-11-18

Last updated on: 2025-11-18

Assigner: MITRE

Description

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.

CVSS Scores

EPSS Scores

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Meta Information

Published
2025-11-18
Last Modified
2025-11-18
Generated
2026-07-06
AI Q&A
2025-11-18
EPSS Evaluated
2026-07-05
NVD
EUVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
openml openml.org 2.0.20241110

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-400 The product does not properly control the allocation and maintenance of a limited resource.

Attack-Flow Graph

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Executive Summary

This vulnerability involves the openml/openml.org web application using predictable MD5-based tokens for important user actions like signup confirmation, password resets, and email change confirmations. The tokens are generated by hashing the current timestamp without any user-specific data or randomness, making them predictable. Attackers can brute-force these tokens within a small time window to perform unauthorized actions such as confirming accounts, resetting passwords, or approving email changes.

Impact Analysis

The vulnerability can lead to unauthorized account confirmation, password resets, and email change approvals by attackers who brute-force the predictable tokens. This can result in account takeover, compromising user accounts and potentially leading to loss of access or control over affected accounts.

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