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VulnerabilityPublished Updated

CVE-2025-24923: Intel(R) AI for Enterprise Retrieval-augmented Generation software · Escalation of Privilege

Affects Intel(R) AI for Enterprise Retrieval-augmented Generation softwareSource CVE Database V5

0

Not known to be exploited · CVSS 5.4 Medium.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 4.0 base score
5.4Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.1% chance of exploitation in 30 days – higher than 2% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 12 Aug 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-2025-24923, organizations should implement the following specific measures: 1) Monitor Intel's official channels for patches or updates addressing this vulnerability and apply them promptly once available. 2) Restrict local access to systems running the affected Intel AI software to trusted and authorized personnel only, minimizing the risk of malicious local users exploiting the flaw. 3) Employ strict access control policies and least privilege principles to limit the permissions of users who have local access, reducing the potential impact of privilege escalation. 4) Conduct regular audits of system and application logs to detect unusual activities indicative of privilege escalation attempts. 5) Use application whitelisting and integrity verification tools to prevent unauthorized or malicious binaries from being loaded via manipulated search paths. 6) Educate users about the risks of interacting with untrusted files or components that could be used to exploit the uncontrolled search path. 7) Consider isolating AI software environments using containerization or virtualization to limit the scope of potential compromise. These targeted actions go beyond generic advice by focusing on controlling local access vectors and monitoring for exploitation attempts specific to search path vulnerabilities.

Description

Uncontrolled search path in some Intel(R) AI for Enterprise Retrieval-augmented Generation software may allow an authenticated user to potentially enable escalation of privilege via local access.

References

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