FKIE_CVE-2024-12433
Vulnerability from fkie_nvd - Published: 2025-03-20 10:15 - Updated: 2026-06-17 06:59
Severity
Summary
A vulnerability in infiniflow/ragflow versions v0.12.0 allows for remote code execution. The RPC server in RagFlow uses a hard-coded AuthKey 'authkey=b'infiniflow-token4kevinhu'' which can be easily fetched by attackers to join the group communication without restrictions. Additionally, the server processes incoming data using pickle deserialization via `pickle.loads()` on `connection.recv()`, making it vulnerable to remote code execution. This issue is fixed in version 0.14.0.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| infiniflow | ragflow | * |
{
"affected": [
{
"affectedData": [
{
"product": "infiniflow/ragflow",
"vendor": "infiniflow",
"versions": [
{
"lessThan": "0.14.0",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"source": "security@huntr.dev"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:infiniflow:ragflow:*:*:*:*:*:*:*:*",
"matchCriteriaId": "77D3AD6C-8E74-4ACE-B93A-BA54D91444AC",
"versionEndExcluding": "0.14.0",
"versionStartIncluding": "0.12.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A vulnerability in infiniflow/ragflow versions v0.12.0 allows for remote code execution. The RPC server in RagFlow uses a hard-coded AuthKey \u0027authkey=b\u0027infiniflow-token4kevinhu\u0027\u0027 which can be easily fetched by attackers to join the group communication without restrictions. Additionally, the server processes incoming data using pickle deserialization via `pickle.loads()` on `connection.recv()`, making it vulnerable to remote code execution. This issue is fixed in version 0.14.0."
},
{
"lang": "es",
"value": "Una vulnerabilidad en las versiones v0.12.0 de infiniflow/ragflow permite la ejecuci\u00f3n remota de c\u00f3digo. El servidor RPC de RagFlow utiliza una clave de autenticaci\u00f3n (AuthKey) \"authkey=b\u0027infiniflow-token4kevinhu\u0027\u0027, que los atacantes pueden obtener f\u00e1cilmente para unirse a la comunicaci\u00f3n grupal sin restricciones. Adem\u00e1s, el servidor procesa los datos entrantes mediante la deserializaci\u00f3n de pickle mediante `pickle.loads()` en `connection.recv()`, lo que lo hace vulnerable a la ejecuci\u00f3n remota de c\u00f3digo. Este problema se solucion\u00f3 en la versi\u00f3n 0.14.0."
}
],
"id": "CVE-2024-12433",
"lastModified": "2026-06-17T06:59:42.710",
"metrics": {
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "security@huntr.dev",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-12433",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-03-20T17:51:16.878177Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-03-20T10:15:28.760",
"references": [
{
"source": "security@huntr.dev",
"tags": [
"Patch"
],
"url": "https://github.com/infiniflow/ragflow/commit/49494d4e3c8f06a5e52cf1f7cce9fa03cadcfbf6"
},
{
"source": "security@huntr.dev",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://huntr.com/bounties/8a1465af-09e4-42af-9e54-0b70e7c87499"
}
],
"sourceIdentifier": "security@huntr.dev",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"source": "security@huntr.dev",
"type": "Secondary"
}
]
}
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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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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.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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