FKIE_CVE-2026-24798
Vulnerability from fkie_nvd - Published: 2026-01-27 09:15 - Updated: 2026-06-17 10:23
Severity
Summary
Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability in GaijinEntertainment DagorEngine (prog/3rdPartyLibs/miniupnpc modules). This vulnerability is associated with program files upnpreplyparse.C.
This issue affects DagorEngine: through dagor_2025_01_15.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://github.com/GaijinEntertainment/DagorEngine",
"defaultStatus": "affected",
"modules": [
"prog/3rdPartyLibs/miniupnpc"
],
"product": "DagorEngine",
"programFiles": [
"upnpreplyparse.c"
],
"vendor": "GaijinEntertainment",
"versions": [
{
"lessThanOrEqual": "dagor_2025_01_15",
"status": "affected",
"version": "0",
"versionType": "git"
}
]
}
],
"source": "cve_disclosure@tech.gov.sg"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability in GaijinEntertainment DagorEngine (prog/3rdPartyLibs/miniupnpc modules). This vulnerability is associated with program files upnpreplyparse.C.\n\nThis issue affects DagorEngine: through dagor_2025_01_15."
},
{
"lang": "es",
"value": "Vulnerabilidad de Restricci\u00f3n Inadecuada de Operaciones dentro de los L\u00edmites de un B\u00fafer de Memoria en GaijinEntertainment DagorEngine (m\u00f3dulos prog/3rdPartyLibs/miniupnpc). Esta vulnerabilidad est\u00e1 asociada con los archivos de programa upnpreplyparse.C.\n\nEste problema afecta a DagorEngine: hasta dagor_2025_01_15."
}
],
"id": "CVE-2026-24798",
"lastModified": "2026-06-17T10:23:36.513",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "YES",
"Recovery": "USER",
"Safety": "PRESENT",
"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": "AMBER",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "HIGH",
"userInteraction": "NONE",
"valueDensity": "CONCENTRATED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:H/SC:N/SI:H/SA:H/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:P/AU:Y/R:U/V:C/RE:M/U:Amber",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "MODERATE"
},
"source": "cve_disclosure@tech.gov.sg",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-24798",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-01-27T21:09:29.417713Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-01-27T09:15:49.643",
"references": [
{
"source": "cve_disclosure@tech.gov.sg",
"url": "https://github.com/GaijinEntertainment/DagorEngine/pull/136"
}
],
"sourceIdentifier": "cve_disclosure@tech.gov.sg",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"source": "cve_disclosure@tech.gov.sg",
"type": "Secondary"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…