langchain-ai Langchainjs MongoDB up to 1.3.0 MongoDBChatMessageHistory code injection

Summaryinfo

A vulnerability classified as critical has been found in langchain-ai Langchainjs MongoDB up to 1.3.0. This issue affects some unknown processing of the component MongoDBChatMessageHistory. This manipulation causes code injection. This vulnerability is registered as CVE-2026-106119. Remote exploitation of the attack is possible. No exploit is available. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability was found in langchain-ai Langchainjs MongoDB up to 1.3.0. It has been declared as critical. Affected by this vulnerability is some unknown processing of the component MongoDBChatMessageHistory. The manipulation with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

LangChain is a framework for building LLM-powered applications. Prior to 1.3.1, MongoDBChatMessageHistory does not enforce the documented string type for an untrusted structured session identifier at runtime, allowing the identifier to be interpreted as a MongoDB query condition rather than as a literal value when multiple users' histories are stored in a shared MongoDB collection. An attacker able to invoke chat-history operations can read, modify, or delete another user's stored conversation. Applications using authenticated, server-controlled string identifiers are not affected. This issue is fixed in version 1.3.1.

The advisory is shared at github.com. This vulnerability is known as CVE-2026-106119 since 10/06/2026. The exploitation appears to be easy. The attack can be launched remotely. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1059 for this issue.

Upgrading to version 1.3.1 eliminates this vulnerability.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

• Database Software

Vendor

• langchain-ai

Name

• Langchainjs MongoDB

Version

• 1.0
• 1.1
• 1.2
• 1.3.0

CPE 2.3info

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CPE 2.2info

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Entryinfo

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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