langchain-ai langgraph up to 3.0.0 CheckpointSaver _metadata_predicate sql injection

Summaryinfo

A vulnerability, which was classified as critical, has been found in langchain-ai langgraph up to 3.0.0. Impacted is the function _metadata_predicate of the component CheckpointSaver. This manipulation causes sql injection. This vulnerability is handled as CVE-2025-67644. It is possible to launch the attack on the local host. There is not any exploit available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability classified as critical was found in langchain-ai langgraph up to 3.0.0. Affected by this vulnerability is the function _metadata_predicate of the component CheckpointSaver. The manipulation with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

LangGraph SQLite Checkpoint is an implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via aiosqlite). Versions 3.0.0 and below are vulnerable to SQL injection through the checkpoint implementation. Checkpoint allows attackers to manipulate SQL queries through metadata filter keys, affecting applications that accept untrusted metadata filter keys (not just filter values) in checkpoint search operations. The _metadata_predicate() function constructs SQL queries by interpolating filter keys directly into f-strings without validation. This issue is fixed in version 3.0.1.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-67644 since 12/09/2025. The exploitation appears to be easy. Attacking locally is a requirement. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

Upgrading to version 3.0.1 eliminates this vulnerability. Applying the patch 297242913f8ad2143ee3e2f72e67db0911d48e2a is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

The vulnerability is also documented in the vulnerability database at CNNVD (CNNVD-202512-2029). Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Type

• Artificial Intelligence Software

Vendor

• langchain-ai

Name

• langgraph

Version

• 3.0

License

• open-source

Website

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

CPE 2.3info

• 🔒

CPE 2.2info

• 🔒

CVSSv4info

CVSSv3info

CVSSv2info

Exploitinginfo

Threat Intelligenceinfo

Countermeasuresinfo

Timelineinfo

Sourcesinfo

Entryinfo

Be aware that VulDB is the high quality source for vulnerability data.

Discussion