CVE-2024-7010: mudler/localai · Timing Side Channel
Affects mudler/localaiSource CVE Database V5
Not known to be exploited · CVSS 7.5 High.
Data as of 26 Oct 2026, 17:16 UTC
- EPSS
- 0.5% chance of exploitation in 30 days – higher than 44% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 29 Oct 2024
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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
| Product | Affected | Fixed in |
|---|---|---|
GitHubmudler/localaipkg:github/mudler/localaiOther threats | Affected
| Fixed in– |
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AI-suggested
To mitigate CVE-2024-7010, European organizations should first verify if they are using mudler/localai version 2.17.1 or earlier and monitor vendor communications for patches. In the absence of an official patch, implement constant-time password comparison functions to eliminate timing discrepancies during authentication. This involves using cryptographic libraries designed to perform comparisons in fixed time regardless of input. Additionally, enforce strict rate limiting and account lockout policies to reduce the feasibility of iterative timing attacks. Deploy network-level protections such as Web Application Firewalls (WAFs) configured to detect and block suspicious authentication request patterns. Enable detailed logging and continuous monitoring of authentication attempts to identify anomalies indicative of timing attacks. Where possible, integrate multi-factor authentication (MFA) to reduce reliance on password secrecy alone. Conduct regular security assessments and penetration tests focusing on timing side-channel vulnerabilities. Finally, educate developers and security teams about side-channel risks and secure coding practices to prevent similar issues in future software versions.
Description
mudler/localai version 2.17.1 is vulnerable to a Timing Attack. This type of side-channel attack allows an attacker to compromise the cryptosystem by analyzing the time taken to execute cryptographic algorithms. Specifically, in the context of password handling, an attacker can determine valid login credentials based on the server's response time, potentially leading to unauthorized access.