7.3
CVE-2025-8709
- EPSS 0.04%
- Veröffentlicht 26.10.2025 05:38:55
- Zuletzt bearbeitet 28.10.2025 15:16:13
- Quelle security@huntr.dev
- CVE-Watchlists
- Unerledigt
A SQL injection vulnerability exists in the langchain-ai/langchain 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.
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Herstellerlangchain-ai
≫
Produkt
langchain-ai/langchain
Version <=
latest
Version
unspecified
Status
affected
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.04% | 0.104 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| security@huntr.dev | 7.3 | 2 | 4.7 |
CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N
|
CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
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. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.