FKIE_CVE-2026-76000
Vulnerability from fkie_nvd - Published: 2026-09-08 20:18 - Updated: 2026-09-08 21:13
Severity
Summary
ColdFusion is affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "ColdFusion 2025",
"vendor": "Adobe",
"versions": [
{
"lessThanOrEqual": "12",
"status": "affected",
"version": "0",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "13",
"versionType": "custom"
}
]
},
{
"defaultStatus": "unaffected",
"product": "ColdFusion 2023",
"vendor": "Adobe",
"versions": [
{
"lessThanOrEqual": "23",
"status": "affected",
"version": "0",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "24",
"versionType": "custom"
}
]
}
],
"source": "psirt@adobe.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "ColdFusion is affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction."
}
],
"id": "CVE-2026-76000",
"lastModified": "2026-09-08T21:13:32.293",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "psirt@adobe.com",
"type": "Primary"
}
]
},
"published": "2026-09-08T20:18:23.893",
"references": [
{
"source": "psirt@adobe.com",
"url": "https://helpx.adobe.com/security/products/coldfusion/apsb26-119.html"
}
],
"sourceIdentifier": "psirt@adobe.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-400"
}
],
"source": "psirt@adobe.com",
"type": "Primary"
}
]
}
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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.
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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