34 matches found
CVE-2024-8309
Proof of Concept for Langchain CVE-2024–8309 Vulnerability Overview This setup demonstrates a proof of concept for the prompt injection vulnerability in the GraphCypherQAChain class that allows SQL injection in a Neo4j database. Components: 1. Neo4j Database : Runs Neo4j. 2. Backend FastAPI :...
PYSEC-2026-1507 Langchain SQL Injection vulnerability
A vulnerability in the GraphCypherQAChain class of langchain-ai/langchain version 0.2.5 allows for SQL injection through prompt injection. This vulnerability can lead to unauthorized data manipulation, data exfiltration, denial of service DoS by deleting all data, breaches in multi-tenant securit...
CVE-2026-41274
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that ar...
CVE-2026-41274
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that ar...
CVE-2026-41274 Flowise: Cypher Injection in GraphCypherQAChain
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that ar...
CVE-2026-41274
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that ar...
CVE-2026-41274 Flowise: Cypher Injection in GraphCypherQAChain
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that ar...
CVE-2026-41274 Flowise: Cypher Injection in GraphCypherQAChain
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that ar...
CVE-2026-41274
Technical details beyond the description are not publicly available in the provided documents. Monitor for updates.
CVE-2026-41274: Improper Neutralization of Special Elements in Data Query Logic
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that ar...
Flowise security vulnerabilities
Flowise is an open-source tool developed by FlowiseAI, designed for easily building LLM applications. Prior versions of Flowise, up to 3.1.0, contained a security vulnerability. This vulnerability stemmed from the GraphCypherQAChain node directly passing user inputs into the Cypher query executio...
GHSA-28G4-38Q8-3CWC Flowise: Cypher Injection in GraphCypherQAChain
Summary The GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that are executed on the underlying Neo4j database, enabling data exfiltration, modification, or deletio...
Flowise: Cypher Injection in GraphCypherQAChain
Summary The GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that are executed on the underlying Neo4j database, enabling data exfiltration, modification, or deletio...
PT-2026-34755
Name of the Vulnerable Software and Affected Versions Flowise versions prior to 3.1.0 Description The GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. This allows an attacker to inject arbitrary Cypher commands tha...
PT-2026-35286
Summary The GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that are executed on the underlying Neo4j database, enabling data exfiltration, modification, or deletio...
CVE-2024-7042
A vulnerability in the GraphCypherQAChain class of langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits unauthorized data manipulation, data exfiltration, denial of service DoS by deleting all...
SQL Injection
@langchain/community is vulnerable to SQL injection. The vulnerability is due to improper handling of user input in the GraphCypherQAChain class, which allows attackers to inject malicious prompts that can lead to SQL injection...
SQL Injection
langchain-ai/langchain is vulnerable to SQL injection. The vulnerability is due to insufficient input validation in the GraphCypherQAChain class, which allows user-controlled inputs to be embedded in SQL queries without proper sanitization...
PYSEC-2024-115
A vulnerability in the GraphCypherQAChain class of langchain-ai/langchain-community version 0.2.5 allows for SQL injection through prompt injection. This vulnerability can lead to unauthorized data manipulation, data exfiltration, denial of service DoS by deleting all data, breaches in multi-tena...
@langchain/community SQL Injection vulnerability
A vulnerability in the GraphCypherQAChain class of langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits unauthorized data manipulation, data exfiltration, denial of service DoS by deleting all...