Information Exposure Affecting github.com/mudler/localai/core package, versions <2.21.0
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-GOLANG-GITHUBCOMMUDLERLOCALAICORE-8310496
- published30 Oct 2024
- disclosed29 Oct 2024
- creditmvlttt
Introduced: 29 Oct 2024
CVE-2024-7010 Â (opens in a new tab)How to fix?
Upgrade github.com/mudler/LocalAI/core to version 2.21.0 or higher.
Overview
Affected versions of this package are vulnerable to Information Exposure due to the handling of cryptographic algorithms during password verification. This is because the time it takes for the system to compare API keys using the == operator, can vary depending on how many characters match between the guessed key and the actual key, allowing attackers to guess the key by measuring response times.