FKIE_CVE-2025-0868
Vulnerability from fkie_nvd - Published: 2025-02-20 12:15 - Updated: 2026-06-17 08:27
Severity
Summary
A vulnerability, that could result in Remote Code Execution (RCE), has been found in DocsGPT. Due to improper parsing of JSON data using eval() an unauthorized attacker could send arbitrary Python code to be executed via /api/remote endpoint..
This issue affects DocsGPT: from 0.8.1 through 0.12.0.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "DocsGPT",
"repo": "https://github.com/arc53/DocsGPT",
"vendor": "Arc53",
"versions": [
{
"lessThanOrEqual": "0.12.0",
"status": "affected",
"version": "0.8.1",
"versionType": "semver"
}
]
}
],
"source": "cvd@cert.pl"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A vulnerability, that could result in Remote Code Execution (RCE), has been found in DocsGPT. Due to improper parsing of JSON data using eval() an unauthorized attacker could send arbitrary Python code to be executed via /api/remote endpoint..\n\nThis issue affects DocsGPT: from 0.8.1 through 0.12.0."
},
{
"lang": "es",
"value": "Se ha encontrado una vulnerabilidad en DocsGPT que podr\u00eda provocar la ejecuci\u00f3n remota de c\u00f3digo (RCE). Debido al an\u00e1lisis incorrecto de datos JSON mediante eval(), un atacante no autorizado podr\u00eda enviar c\u00f3digo Python arbitrario para que se ejecute a trav\u00e9s del endpoint /api/remote. Este problema afecta a DocsGPT: desde la versi\u00f3n 0.8.1 hasta la 0.12.0."
}
],
"id": "CVE-2025-0868",
"lastModified": "2026-06-17T08:27:17.080",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 9.3,
"baseSeverity": "CRITICAL",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cvd@cert.pl",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-0868",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-02-20T14:15:08.297948Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-02-20T12:15:10.893",
"references": [
{
"source": "cvd@cert.pl",
"url": "https://cert.pl/en/posts/2025/02/CVE-2025-0868/"
},
{
"source": "cvd@cert.pl",
"url": "https://cert.pl/posts/2025/02/CVE-2025-0868/"
},
{
"source": "cvd@cert.pl",
"url": "https://github.com/arc53/DocsGPT"
}
],
"sourceIdentifier": "cvd@cert.pl",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-95"
}
],
"source": "cvd@cert.pl",
"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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