GHSA-4H97-WPXP-3757
Vulnerability from github – Published: 2025-10-26 06:30 – Updated: 2025-10-27 20:23
VLAI
Summary
LangGraph's SQLite store implementation has a SQL Injection Vulnerability
Details
A SQL injection vulnerability exists in the langchain-ai/langgraph repository, specifically in the LangGraph's SQLite store implementation. The affected version is langgraph-checkpoint-sqlite 2.0.10. The vulnerability arises from improper handling of filter operators ($eq, $ne, $gt, $lt, $gte, $lte) where direct string concatenation is used without proper parameterization. This allows attackers to inject arbitrary SQL, leading to unauthorized access to all documents, data exfiltration of sensitive fields such as passwords and API keys, and a complete bypass of application-level security filters.
Severity
7.3 (High)
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 2.0.10"
},
"package": {
"ecosystem": "PyPI",
"name": "langgraph-checkpoint-sqlite"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.0.11"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2025-8709"
],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": true,
"github_reviewed_at": "2025-10-27T20:23:05Z",
"nvd_published_at": "2025-10-26T06:15:48Z",
"severity": "HIGH"
},
"details": "A SQL injection vulnerability exists in the langchain-ai/langgraph repository, specifically in the LangGraph\u0027s SQLite store implementation. The affected version is langgraph-checkpoint-sqlite 2.0.10. The vulnerability arises from improper handling of filter operators ($eq, $ne, $gt, $lt, $gte, $lte) where direct string concatenation is used without proper parameterization. This allows attackers to inject arbitrary SQL, leading to unauthorized access to all documents, data exfiltration of sensitive fields such as passwords and API keys, and a complete bypass of application-level security filters.",
"id": "GHSA-4h97-wpxp-3757",
"modified": "2025-10-27T20:23:06Z",
"published": "2025-10-26T06:30:20Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-8709"
},
{
"type": "WEB",
"url": "https://github.com/langchain-ai/langgraph/pull/5666"
},
{
"type": "WEB",
"url": "https://github.com/langchain-ai/langgraph/commit/bc9d45b476101e441cb1cc602dea03eb29232de4"
},
{
"type": "PACKAGE",
"url": "https://github.com/langchain-ai/langgraph"
},
{
"type": "WEB",
"url": "https://github.com/langchain-ai/langgraph/releases/tag/checkpointsqlite%3D%3D2.0.11"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/9793f4b3-76f8-44a4-989f-49a2177ee118"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "LangGraph\u0027s SQLite store implementation has a SQL Injection Vulnerability"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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