FKIE_CVE-2026-76691
Vulnerability from fkie_nvd - Published: 2026-09-15 20:17 - Updated: 2026-09-28 13:52
Severity
Summary
Buffer overflow vulnerabilities exist in the API endpoint of HPE Networking EdgeConnect SD-WAN Gateways. Successful exploitation could allow an authenticated remote attacker to execute arbitrary commands as a privileged user on the underlying operating system.
References
Impacted products
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "affected",
"product": "EdgeConnect SD-WAN Gateways",
"vendor": "Hewlett Packard Enterprise (HPE)",
"versions": [
{
"lessThanOrEqual": "9.7.0.0",
"status": "affected",
"version": "9.7.0.0",
"versionType": "semver"
},
{
"lessThanOrEqual": "9.6.3.1",
"status": "affected",
"version": "9.6.0.0",
"versionType": "semver"
},
{
"lessThanOrEqual": "9.5.8.1",
"status": "affected",
"version": "9.5.0.0",
"versionType": "semver"
},
{
"lessThanOrEqual": "9.4.8.2",
"status": "affected",
"version": "9.4.0.0",
"versionType": "semver"
}
]
}
],
"source": "security-alert@hpe.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:arubanetworks:edgeconnect_sd-wan_orchestrator:*:*:*:*:*:*:*:*",
"matchCriteriaId": "3E8BB761-5AEC-4765-A95C-AEF7C98A0E29",
"versionEndExcluding": "9.4.11",
"versionStartIncluding": "9.4.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:arubanetworks:edgeconnect_sd-wan_orchestrator:*:*:*:*:*:*:*:*",
"matchCriteriaId": "4E5BDE58-9DC1-474B-85DD-829711373690",
"versionEndExcluding": "9.5.9",
"versionStartIncluding": "9.5.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:arubanetworks:edgeconnect_sd-wan_orchestrator:*:*:*:*:*:*:*:*",
"matchCriteriaId": "9712F8F6-023D-473C-AA93-DBF5478C321C",
"versionEndExcluding": "9.6.4",
"versionStartIncluding": "9.6.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:arubanetworks:edgeconnect_sd-wan_orchestrator:9.7.0:*:*:*:*:*:*:*",
"matchCriteriaId": "CAA50358-9871-4DDB-82FC-7F40A24D010A",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
},
{
"nodes": [
{
"cpeMatch": [
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"criteria": "cpe:2.3:o:hpe:edgeconnect_operating_system:*:*:*:*:*:*:*:*",
"matchCriteriaId": "54E3B50C-9E5F-4723-A800-F56C78CC7B6A",
"versionEndExcluding": "9.4.9.0",
"versionStartIncluding": "9.4.0.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:hpe:edgeconnect_operating_system:*:*:*:*:*:*:*:*",
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"versionEndExcluding": "9.5.9.0",
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"vulnerable": true
},
{
"criteria": "cpe:2.3:o:hpe:edgeconnect_operating_system:*:*:*:*:*:*:*:*",
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{
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Buffer overflow vulnerabilities exist in the API endpoint of HPE Networking EdgeConnect SD-WAN Gateways. Successful exploitation could allow an authenticated remote attacker to execute arbitrary commands as a privileged user on the underlying operating system."
}
],
"id": "CVE-2026-76691",
"lastModified": "2026-09-28T13:52:44.710",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 5.9,
"source": "security-alert@hpe.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-76691",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-22T14:12:57.920005Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-15T20:17:51.160",
"references": [
{
"source": "security-alert@hpe.com",
"tags": [
"Vendor Advisory"
],
"url": "https://support.hpe.com/hpesc/public/docDisplay?docId=hpesbnw05135en_us\u0026docLocale=en_US"
}
],
"sourceIdentifier": "security-alert@hpe.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-120"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"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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