gcdRadar
archive/Patch now/AIR-2026-1158
closedclosed 10 Jul 2026Patch now2 Disclosed vulnerabilityAI

SQL Injection in LangChain4j Embedding Stores

LangChain4j

LangChain4j MariaDB and pgvector embedding stores build metadata filter SQL using string concatenation without adequate escaping. Crafted metadata keys allow attackers to inject arbitrary SQL statements, enabling data exfiltration and denial of service.

disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why

CVSS
7.6
EPSS
<0.01 · top 59% · 2026-11-13
fix status
Fix status unknown
first report
10 Jul 2026
last update
10 Jul 2026

Timeline · 1

  1. 10 Jul 2026CVE-2026-55405: LangChain4j is a Java library for building LLM-powered applications on the JVM.

Sources · 1

Advisories and databases

  1. 2026-07-10

Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.

Classification

AI role
Attack on AI
categories
Infrastructure vulnerability
severity
2 · Disclosed vulnerability
fix status
Fix status unknown
targets
Framework / tooling
owasp llm top 10
LLM03:2025 Supply Chain
mitre atlas
no technique for these categories
dates
happened 10 Jul 2026 · first reported 10 Jul 2026
origin
NVD
Vulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
record
confidence 0.95 · created 2026-10-18 10:04Z · updated 2026-10-18 10:04Z

Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned

Copy a brief

This record as a short Markdown brief, for a ticket, a chat or a coding agent.

the brief as text
# SQL Injection in LangChain4j Embedding Stores

https://gcdradar.vercel.app/incidents/sql-injection-in-langchain4j-embedding-stores · AIR-2026-1158 · closed 2026-07-10

- Lane: Patch now
- Severity: 2 (Disclosed vulnerability)
- Fix status: Fix status unknown
- First reported: 2026-07-10
- AI role: Attack on AI
- Products: LangChain4j
- CVE ids: CVE-2026-55405
- CVSS: 7.6

## Summary

LangChain4j MariaDB and pgvector embedding stores build metadata filter SQL using string concatenation without adequate escaping. Crafted metadata keys allow attackers to inject arbitrary SQL statements, enabling data exfiltration and denial of service.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2026-07-10: CVE-2026-55405: LangChain4j is a Java library for building LLM-powered applications on the JVM. (https://nvd.nist.gov/vuln/detail/CVE-2026-55405)

## Sources

- 2026-07-10 NVD: CVE-2026-55405: LangChain4j is a Java library for building LLM-powered applications on the JVM. https://nvd.nist.gov/vuln/detail/CVE-2026-55405

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.

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