Vulnerability Monitor

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CVE-2025-2129


A vulnerability was found in Mage AI 0.9.75. It has been classified as problematic. This affects an unknown part. The manipulation leads to insecure default initialization of resource. It is possible to initiate the attack remotely. The complexity of an attack is rather high. The exploitability is told to be difficult. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. After 7 months of repeated follow-ups by the researcher, Mage AI has decided to not accept this issue as a valid security vulnerability and has confirmed that they will not be addressing it.


Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.6, indicating it can be exploited remotely over the network but requires specific conditions to be met without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts limited data confidentiality, limited integrity, and limited availability for affected systems.

Historical Context

Reported in 2025, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.


Published

2025-03-09T20:15:27.157

Last Modified

2026-04-15T00:35:42.020

Status

Deferred

Source

[email protected]

Severity

CVSSv3.1: 5.6 (MEDIUM)

CVSSv2 Vector

AV:N/AC:H/Au:N/C:P/I:P/A:P

  • Access Vector: NETWORK
  • Access Complexity: HIGH
  • Authentication: NONE
  • Confidentiality Impact: PARTIAL
  • Integrity Impact: PARTIAL
  • Availability Impact: PARTIAL
Exploitability Score

4.9

Impact Score

6.4

Weaknesses
  • Type: Secondary
    CWE-1188

Affected Vendors & Products

-


References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For affected software, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.