FKIE_CVE-2025-31114
Vulnerability from fkie_nvd - Published: 2026-08-11 16:17 - Updated: 2026-09-29 11:10
Severity
Summary
Fooocus is an image generating software. In versions 2.5.5 and prior, the Fooocus web UI is vulnerable to remote code execution due to the unsafe use of eval when processing metadata JSON. An attacker with access to the Fooocus web UI may be able to execute arbitrary code on the instance. As of time of publication, no known patched versions are available, but a suggested fix pull request is available.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "Fooocus",
"vendor": "lllyasviel",
"versions": [
{
"status": "affected",
"version": "\u003c= 2.5.5"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Fooocus is an image generating software. In versions 2.5.5 and prior, the Fooocus web UI is vulnerable to remote code execution due to the unsafe use of eval when processing metadata JSON. An attacker with access to the Fooocus web UI may be able to execute arbitrary code on the instance. As of time of publication, no known patched versions are available, but a suggested fix pull request is available."
},
{
"lang": "es",
"value": "Fooocus es un software generador de im\u00e1genes. En las versiones 2.5.5 y anteriores, la interfaz de usuario web de Fooocus es vulnerable a la ejecuci\u00f3n remota de c\u00f3digo debido al uso inseguro de eval al procesar metadatos JSON. Un atacante con acceso a la interfaz de usuario web de Fooocus podr\u00eda ser capaz de ejecutar c\u00f3digo arbitrario en la instancia. Hasta el momento de la publicaci\u00f3n, no hay versiones parcheadas conocidas disponibles, pero hay una solicitud de extracci\u00f3n con una soluci\u00f3n sugerida disponible."
}
],
"id": "CVE-2025-31114",
"lastModified": "2026-09-29T11:10:00.150",
"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": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-31114",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-13T13:10:26.087584Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-11T16:17:26.520",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/lllyasviel/Fooocus/issues/3552"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/lllyasviel/Fooocus/pull/4207"
},
{
"source": "security-advisories@github.com",
"url": "https://securitylab.github.com/advisories/GHSL-2024-196_Fooocus/"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://securitylab.github.com/advisories/GHSL-2024-196_Fooocus/"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-95"
}
],
"source": "security-advisories@github.com",
"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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