CVE-2025-8709
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.
CVSS
- Versión: 3.0
- Vector: CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N
- Puntuación base: 7.3
Probabilidad de explotación (EPSS)
- Probabilidad de explotación en los próximos 30 días: 0.18%
- Percentil entre todas las CVEs puntuadas: 7
- Fecha de la puntuación: 5/10/2026
EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).
🎯 Técnicas ATT&CK
Cómo se explota esta vulnerabilidad y qué consigue el atacante, en el lenguaje de MITRE ATT&CK.
- Explotación
T1068Exploitation for Privilege Escalationprivilege escalation75 % - Impacto principal
T1005Data from Local Systemcollection85 % - Impacto secundario
T1552Unsecured Credentialscredential access80 % - Impacto secundario
T1565.001Stored Data Manipulationimpact70 %
SQL injection (CWE-89) en SQLite con acceso local (AV:L) y privilegios limitados (PR:L) permite escalada. Impactos: acceso no autorizado a documentos (T1005), exfiltración de credenciales/API keys (T1552), y manipulación de datos (T1565.001).
Inferido por nuestro agente de análisis a partir de la descripción oficial, el vector CVSS y la CWE, y comprobado por un supervisor. Puede contener errores.
🛡️ Mitigaciones ATT&CK que cubren estas técnicas
Tecnologías afectadas (2)
⚠ Inferidas por IA a partir de la descripción — NVD aún no ha analizado esta CVE; no son CPE verificados.
CWE
- CWE-89
Referencias
JSON original (NVD)
Mostrar
{
"id": "CVE-2025-8709",
"cveTags": [],
"metrics": {
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-8709",
"role": "CISA Coordinator",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"version": "2.0.3",
"timestamp": "2025-10-28T14:32:35.114025Z"
}
}
],
"cvssMetricV30": [
{
"type": "Secondary",
"source": "security@huntr.dev",
"cvssData": {
"scope": "CHANGED",
"version": "3.0",
"baseScore": 7.3,
"attackVector": "LOCAL",
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N",
"integrityImpact": "LOW",
"userInteraction": "NONE",
"attackComplexity": "LOW",
"availabilityImpact": "NONE",
"privilegesRequired": "LOW",
"confidentialityImpact": "HIGH"
},
"impactScore": 4.7,
"exploitabilityScore": 2
}
]
},
"affected": [
{
"source": "security@huntr.dev",
"affectedData": [
{
"vendor": "langchain-ai",
"product": "langchain-ai/langchain",
"versions": [
{
"status": "affected",
"version": "unspecified",
"versionType": "custom",
"lessThanOrEqual": "latest"
}
]
}
]
}
],
"published": "2025-10-26T06:15:48.680",
"references": [
{
"url": "https://huntr.com/bounties/9793f4b3-76f8-44a4-989f-49a2177ee118",
"source": "security@huntr.dev"
},
{
"url": "https://huntr.com/bounties/9793f4b3-76f8-44a4-989f-49a2177ee118",
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
}
],
"vulnStatus": "Deferred",
"weaknesses": [
{
"type": "Secondary",
"source": "security@huntr.dev",
"description": [
{
"lang": "en",
"value": "CWE-89"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "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."
}
],
"lastModified": "2026-06-17T10:07:29.123",
"sourceIdentifier": "security@huntr.dev"
}