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VulnerabilityPublished Updated

CVE-2025-63662: GT Edge AI Platform · Information Exposure

Source CVE Database V5

0

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 22% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Affects
GT Edge AI Platform before 2.0.10
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 22 Dec 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

AI-suggested

To mitigate CVE-2025-63662, European organizations should implement the following specific measures: 1) Immediately audit and restrict access to the /api/v1/agents endpoint, ensuring it is not exposed to untrusted networks or users. 2) Employ network segmentation and firewall rules to limit API accessibility only to authorized management systems and personnel. 3) Monitor API logs for unusual or unauthorized access attempts to detect potential exploitation early. 4) Engage with the GT Edge AI Platform vendor to obtain and apply patches or updates as soon as they become available. 5) Implement strong authentication and authorization mechanisms around all API endpoints, including multi-factor authentication where feasible. 6) Conduct regular security assessments and penetration testing focused on API security to identify and remediate permission issues proactively. 7) Educate operational teams about the risks of insecure API permissions and enforce secure development lifecycle practices for AI platform components. These steps go beyond generic advice by focusing on access control hardening, proactive monitoring, and vendor coordination tailored to the AI edge platform context.

Description

Insecure permissions in the /api/v1/agents API of GT Edge AI Platform before v2.0.10-dev allows unauthorized attackers to access sensitive information.

References

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