FKIE_CVE-2026-20325
Vulnerability from fkie_nvd - Published: 2026-09-16 20:17 - Updated: 2026-09-17 14:17
Severity
Summary
As part of Cisco's ongoing commitment to proactive security and product quality, the Cisco Nexus Dashboard engineering team has conducted a comprehensive internal security review. This review resulted in a software hardening release that addresses multiple internally discovered vulnerabilities.
The vulnerabilities tracked by CVE-2026-20325 are related to improper neutralization of special elements used in a command issue that are grouped under the Common Weakness Enumeration (CWE) CWE-77.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unknown",
"product": "Cisco Nexus Dashboard",
"vendor": "Cisco",
"versions": [
{
"status": "affected",
"version": "2.1(1d)"
},
{
"status": "affected",
"version": "2.1(1e)"
},
{
"status": "affected",
"version": "2.1(2d)"
},
{
"status": "affected",
"version": "2.2(1h)"
},
{
"status": "affected",
"version": "2.2(1e)"
},
{
"status": "affected",
"version": "2.2(2d)"
},
{
"status": "affected",
"version": "2.1(2f)"
},
{
"status": "affected",
"version": "2.3(1c)"
},
{
"status": "affected",
"version": "2.3(2b)"
},
{
"status": "affected",
"version": "2.3(2c)"
},
{
"status": "affected",
"version": "2.3(2d)"
},
{
"status": "affected",
"version": "2.3(2e)"
},
{
"status": "affected",
"version": "3.0(1f)"
},
{
"status": "affected",
"version": "3.0(1i)"
},
{
"status": "affected",
"version": "3.1(1k)"
},
{
"status": "affected",
"version": "3.1(1l)"
},
{
"status": "affected",
"version": "3.2(1e)"
},
{
"status": "affected",
"version": "3.2(1i)"
},
{
"status": "affected",
"version": "3.3(1a)"
},
{
"status": "affected",
"version": "3.3(1b)"
},
{
"status": "affected",
"version": "3.3(2b)"
},
{
"status": "affected",
"version": "4.0(1i)"
},
{
"status": "affected",
"version": "3.3(2g)"
},
{
"status": "affected",
"version": "3.2(2f)"
},
{
"status": "affected",
"version": "3.2(2g)"
},
{
"status": "affected",
"version": "3.2(2m)"
},
{
"status": "affected",
"version": "3.1(1n)"
},
{
"status": "affected",
"version": "4.1(1g)"
},
{
"status": "affected",
"version": "4.2.1"
}
]
}
],
"source": "psirt@cisco.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "As part of Cisco\u0027s ongoing commitment to proactive security and product quality, the Cisco Nexus Dashboard\u0026nbsp;engineering team has conducted a comprehensive internal security review. This review resulted in a software hardening release that addresses multiple internally discovered vulnerabilities.\r\n\r\nThe vulnerabilities tracked by CVE-2026-20325 are related to improper neutralization of special elements used in a command issue that are grouped under the Common Weakness Enumeration (CWE) CWE-77."
}
],
"id": "CVE-2026-20325",
"lastModified": "2026-09-17T14:17:13.467",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 6.0,
"source": "psirt@cisco.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-20325",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-17T13:34:09.175761Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-16T20:17:23.347",
"references": [
{
"source": "psirt@cisco.com",
"url": "https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-hardening-ndw1-psFvnrg"
}
],
"sourceIdentifier": "psirt@cisco.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-77"
}
],
"source": "psirt@cisco.com",
"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…
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.
Loading…
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.
Loading…