FKIE_CVE-2024-10906
Vulnerability from fkie_nvd - Published: 2025-03-20 10:15 - Updated: 2026-06-17 06:56
Severity
Summary
In version 0.6.0 of eosphoros-ai/db-gpt, the `uvicorn` app created by `dbgpt_server` uses an overly permissive instance of `CORSMiddleware` which sets the `Access-Control-Allow-Origin` to `*` for all requests. This configuration makes all endpoints exposed by the server vulnerable to Cross-Site Request Forgery (CSRF). An attacker can exploit this vulnerability to interact with any endpoints of the instance, even if the instance is not publicly exposed to the network.
References
| URL | Tags | ||
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/8864aca5-a342-4dab-b866-b2882ba6f160 | Exploit, Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "eosphoros-ai/db-gpt",
"vendor": "eosphoros-ai",
"versions": [
{
"lessThanOrEqual": "latest",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"source": "security@huntr.dev"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:dbgpt:db-gpt:0.6.0:*:*:*:*:*:*:*",
"matchCriteriaId": "EBDB9D41-53F0-4893-AD12-C627705D4615",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In version 0.6.0 of eosphoros-ai/db-gpt, the `uvicorn` app created by `dbgpt_server` uses an overly permissive instance of `CORSMiddleware` which sets the `Access-Control-Allow-Origin` to `*` for all requests. This configuration makes all endpoints exposed by the server vulnerable to Cross-Site Request Forgery (CSRF). An attacker can exploit this vulnerability to interact with any endpoints of the instance, even if the instance is not publicly exposed to the network."
},
{
"lang": "es",
"value": "En la versi\u00f3n 0.6.0 de eosphoros-ai/db-gpt, la aplicaci\u00f3n `uvicorn` creada por `dbgpt_server` utiliza una instancia excesivamente permisiva de `CORSMiddleware` que establece `Access-Control-Allow-Origin` en `*` para todas las solicitudes. Esta configuraci\u00f3n hace que todos los endpoints expuestos por el servidor sean vulnerables a Cross-Site Request Forgery (CSRF). Un atacante puede explotar esta vulnerabilidad para interactuar con cualquier endpoint de la instancia, incluso si esta no est\u00e1 expuesta p\u00fablicamente a la red."
}
],
"id": "CVE-2024-10906",
"lastModified": "2026-06-17T06:56:40.187",
"metrics": {
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:L",
"version": "3.0"
},
"exploitabilityScore": 2.8,
"impactScore": 4.2,
"source": "security@huntr.dev",
"type": "Secondary"
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.2,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-10906",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-03-20T17:49:34.821177Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-03-20T10:15:21.233",
"references": [
{
"source": "security@huntr.dev",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://huntr.com/bounties/8864aca5-a342-4dab-b866-b2882ba6f160"
}
],
"sourceIdentifier": "security@huntr.dev",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-352"
}
],
"source": "security@huntr.dev",
"type": "Secondary"
}
]
}
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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