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VulnerabilityPublished

CVE-2025-55796: openml.org · Uncontrolled Resource Consumption

Affects openml.orgSource CVE Database V5

0

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.6% chance of exploitation in 30 days – higher than 50% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 18 Nov 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
GitHubopenml/openml.orgpkg:github/openml/openml.orgOther threatsAffected
  • =2.0.20241110
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Immediate mitigation involves replacing the current token generation mechanism with a cryptographically secure random token generator that incorporates user-specific data (e.g., user ID or email) and timestamps to ensure uniqueness and unpredictability. Avoid using MD5 or any hashing of predictable inputs alone. Implement tokens with sufficient entropy and expiration times to limit brute-force windows. Additionally, enforce rate limiting and monitoring on token validation endpoints to detect and block brute-force attempts. Employ multi-factor authentication (MFA) for critical account actions to add an extra security layer. Conduct a thorough audit of all user workflows relying on token-based verification to identify and remediate similar weaknesses. Finally, communicate with users about the vulnerability and encourage password resets and vigilance for suspicious account activity.

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.

References

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