CVE-2025-67644

CVE Enrichment

CVSS: 7.8 HIGH
EPSS: 2.31%
EPSS Percentile: 82.89%
CISA KEV: Not listed

Description

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.

Technical Details

CVSS Version: 3.1
CNA / NVD Source: security-advisories@github.com
Published: 11-Dec-2025 07:16
Last Modified: 08-Oct-2026 17:10
EPSS Date: 2026-10-12
CWE: CWE-89

CVSS Vector


            CVSS:3.1                            AV:L /
                            AC:L /
                            PR:L /
                            UI:N /
                            S:U /
                            C:H /
                            I:H /
                            A:H

Affected Products / Versions

langchain / langgraph-checkpoint-sqlite
Version / affected range: * · before (exclusive) 3.0.1
cpe:2.3:a:langchain:langgraph-checkpoint-sqlite:*:*:*:*:*:python:*:*

References

Last enrichment sync: 13-Oct-2026 00:09
Sources: NVD · FIRST EPSS · CISA KEV
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Reported Context (1)

Two of them chain into remote code execution: a SQL injection in the SQLite checkpointer (CVE-2025-67644) and an unsafe msgpack deserialization (CVE-2026-28277). LangGraph Checkpointer Flaws Could Enable Remote Code Execution

CVE (2)

People (1)

Vendors (1)

Products (6)

Note: Related entities, including threat actors, malware, CVEs, MITRE ATT&CK techniques, vendors, products, tools, countries, and industries, are shown when they appear in the same reporting. Their presence does not necessarily mean they were targeted, compromised, vulnerable, responsible for the activity, or directly involved in the incident.