FKIE_CVE-2026-110213
Vulnerability from fkie_nvd - Published: 2026-10-13 19:18 - Updated: 2026-10-13 19:30
Severity
Summary
Stonewuu ai-fusion-video through 1.2.0 contains an insecure direct object reference vulnerability that allows authenticated users to read other users' generation results by supplying arbitrary task ids. Attackers can enumerate auto-increment task ids on the image and video /items endpoints to obtain other users' generated images, videos, and output metadata.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "ai-fusion-video",
"repo": "https://github.com/Stonewuu/ai-fusion-video",
"vendor": "Stonewuu",
"versions": [
{
"lessThanOrEqual": "1.2.0",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "disclosure@vulncheck.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Stonewuu ai-fusion-video through 1.2.0 contains an insecure direct object reference vulnerability that allows authenticated users to read other users\u0027 generation results by supplying arbitrary task ids. Attackers can enumerate auto-increment task ids on the image and video /items endpoints to obtain other users\u0027 generated images, videos, and output metadata."
}
],
"id": "CVE-2026-110213",
"lastModified": "2026-10-13T19:30:29.797",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4,
"source": "disclosure@vulncheck.com",
"type": "Primary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"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": "LOW",
"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:L/UI:N/VC:L/VI:N/VA:N/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": "NONE",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
]
},
"published": "2026-10-13T19:18:45.330",
"references": [
{
"source": "disclosure@vulncheck.com",
"url": "https://github.com/Stonewuu/ai-fusion-video/blob/v1.2.0/ai-fusion-video/src/main/java/com/stonewu/fusion/controller/generation/ImageGenerationController.java#L50-L54"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://github.com/Stonewuu/ai-fusion-video/blob/v1.2.0/ai-fusion-video/src/main/java/com/stonewu/fusion/controller/generation/VideoGenerationController.java#L49-L53"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://hackmd.io/@1ExmmukzRMWN7B4gQ4W-4Q/ai-fusion-video-broken-access-control-and-upload-path-traversal"
},
{
"source": "disclosure@vulncheck.com",
"url": "https://www.vulncheck.com/advisories/ai-fusion-video-through-1.2.0-insecure-direct-object-reference-in-generation-task-item-endpoints"
}
],
"sourceIdentifier": "disclosure@vulncheck.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-639"
}
],
"source": "disclosure@vulncheck.com",
"type": "Primary"
}
]
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
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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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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.