LangChain is a framework for building LLM-powered applications. Prior to 1.1.1, @langchain/redis does not escape attacker-controlled values in structured RediSearch TAG filters and structured RediSearch TEXT filters, allowing injected RediSearch syntax to alter or broaden the generated search query. When an application uses an attacker-influenceable filter as a tenant or document-access boundary, the modified query can expose indexed documents outside the attacker's intended scope.
This issue is fixed in version 1.1.1.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Attack Requirements
Present
Additional conditions required
Privileges Required
Low
Basic privileges needed
User Interaction
None
No user interaction needed
Impact Assessment
Confidentiality
Low
Partial data leak
Integrity
None
No data modification
Availability
None
No disruption
CVSS Vector v4.0
Weakness Type (CWE)
References 4
https://github.com/langchain-ai/langchainjs/commit/880e3969ea643a2147777a4d5e8b…
security-advisories@github.com
https://github.com/langchain-ai/langchainjs/pull/10701
security-advisories@github.com
https://github.com/langchain-ai/langchainjs/releases/tag/@langchain/redis@1.1.1
security-advisories@github.com
https://github.com/langchain-ai/langchainjs/security/advisories/GHSA-5x6v-p487-…
security-advisories@github.com