langchain-ai langgraphjs up to 1.3.0 CheckpointSaver MongoDBSaver.getTuple configurable data query logic injection

Summaryinfo

A vulnerability described as critical has been identified in langchain-ai langgraphjs up to 1.3.0. This vulnerability affects the function MongoDBSaver.getTuple of the component CheckpointSaver. Executing a manipulation of the argument configurable can lead to data query logic injection. The identification of this vulnerability is CVE-2026-48121. The attack may be launched remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as critical was found in langchain-ai langgraphjs up to 1.3.0. This vulnerability affects the function MongoDBSaver.getTuple of the component CheckpointSaver. The manipulation of the argument configurable with an unknown input leads to a data query logic injection vulnerability. The CWE definition for the vulnerability is CWE-943. The product generates a query intended to access or manipulate data in a data store such as a database, but it does not neutralize or incorrectly neutralizes special elements that can modify the intended logic of the query. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

@langchain/langgraph-checkpoint-mongodb provides a LangGraph.js CheckpointSaver implementation that uses MongoDB for storage. Versions 1.3.0 and below are vulnerable to NoSQL injection: checkpoint identifiers (thread_id, checkpoint_ns, checkpoint_id) from config.configurable are passed into MongoDB find() queries in MongoDBSaver.getTuple() without type enforcement. If an attacker supplies an object payload (such as MongoDB operators $gt or $ne) instead of a string, it can be interpreted as a query operator, bypassing thread scoping and leaking checkpoints, including pending writes, across tenants. Applications are at risk if they forward untrusted input into config.configurable without coercing it to strings or validating it against a schema, particularly in multi-tenant or user-isolated setups. Apps that only use server-issued, string-typed identifiers with schema validation rejecting non-string fields are not affected. This issue has been fixed in version 1.3.1.

The advisory is available at github.com. This vulnerability was named CVE-2026-48121 since 05/20/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Technical details are known, but there is no available exploit.

Upgrading to version 1.3.1 eliminates this vulnerability.

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Productinfo

Type

• Artificial Intelligence Software

Vendor

• langchain-ai

Name

• langgraphjs

Version

• 1.0
• 1.1
• 1.2
• 1.3.0

Website

• Product: https://github.com/langchain-ai/langgraphjs/

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