FKIE_CVE-2026-45312
Vulnerability from fkie_nvd - Published: 2026-05-29 13:16 - Updated: 2026-07-21 12:10
Severity
Summary
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. In 0.24.0 and earlier, a Jinja2 template injection in the prompt generator (rag/prompts/generator.py) allows any authenticated user to execute arbitrary OS commands on the server. Any normal user can register, create a Canvas workflow with a DuckDuckGo + LLM component chain, and trigger the SSTI.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "ragflow",
"vendor": "infiniflow",
"versions": [
{
"status": "affected",
"version": "\u003c= 0.24.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. In 0.24.0 and earlier, a Jinja2 template injection in the prompt generator (rag/prompts/generator.py) allows any authenticated user to execute arbitrary OS commands on the server. Any normal user can register, create a Canvas workflow with a DuckDuckGo + LLM component chain, and trigger the SSTI."
},
{
"lang": "es",
"value": "RAGFlow es un motor RAG (Generaci\u00f3n Aumentada por Recuperaci\u00f3n) de c\u00f3digo abierto. En la versi\u00f3n 0.24.0 y anteriores, una inyecci\u00f3n de plantilla Jinja2 en el generador de prompts (rag/prompts/generator.py) permite a cualquier usuario autenticado ejecutar comandos arbitrarios del sistema operativo en el servidor. Cualquier usuario normal puede registrarse, crear un flujo de trabajo de Canvas con una cadena de componentes DuckDuckGo + LLM, y activar la SSTI."
}
],
"id": "CVE-2026-45312",
"lastModified": "2026-07-21T12:10:00.090",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 6.0,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-45312",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-02T01:01:26.376594Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-05-29T13:16:22.770",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/infiniflow/ragflow/security/advisories/GHSA-wpg4-h5g2-jxm6"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/infiniflow/ragflow/security/advisories/GHSA-wpg4-h5g2-jxm6"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-1336"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
Loading…
Loading…
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.
Loading…
The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
Loading…
Loading…