SQL Injection Affecting dev.langchain4j:langchain4j-mariadb package, versions [1.2.0-beta8,1.2.1-beta8)[1.3.0-beta9,1.5.1-beta11)[1.6.0-beta12,1.11.8-beta19)[1.12.1-beta21,1.16.3-beta26)
Threat Intelligence
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-JAVA-DEVLANGCHAIN4J-17732673
- published30 Jun 2026
- disclosed17 Jun 2026
- creditUnknown
Introduced: 17 Jun 2026
CVE-2026-55405 (opens in a new tab)How to fix?
Upgrade dev.langchain4j:langchain4j-mariadb to version 1.2.1-beta8, 1.5.1-beta11, 1.11.8-beta19, 1.16.3-beta26 or higher.
Overview
Affected versions of this package are vulnerable to SQL Injection via the EmbeddingSearchRequest.filter process. An attacker can access sensitive data, modify or delete database records, or cause denial of service by injecting crafted input into metadata filter keys or values, which are improperly concatenated into SQL queries. This is only exploitable if untrusted or attacker-controlled metadata filter keys are allowed to reach the affected stores.
Workaround
This vulnerability can be mitigated by restricting filter keys to a known allow-list at the application layer and avoiding passing untrusted input as metadata filter keys.