FKIE_CVE-2026-20058
Vulnerability from fkie_nvd - Published: 2026-03-04 18:16 - Updated: 2026-08-20 10:37
Severity
Summary
Multiple Cisco products are affected by vulnerabilities in the Snort 3 VBA feature that could allow an unauthenticated, remote attacker to cause the Snort 3 Detection Engine to crash.
These vulnerabilities are due to improper error checking when decompressing VBA data. An attacker could exploit these vulnerabilities by sending crafted VBA data to the Snort 3 Detection Engine on the targeted device. A successful exploit could allow the attacker to cause the Snort 3 Detection Engine to unexpectedly restart, causing a DoS condition.
References
| URL | Tags | ||
|---|---|---|---|
| psirt@cisco.com | https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-ftd-snort3-vbavuls-96UcVVed | Mitigation, Vendor Advisory |
Impacted products
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"criteria": "cpe:2.3:o:cisco:unified_threat_defense_snort_intrusion_prevention_system_engine:17.15.4:*:*:*:*:*:*:*",
"matchCriteriaId": "3825888B-D34F-466F-9E91-CBDE7A07B43C",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:cisco:unified_threat_defense_snort_intrusion_prevention_system_engine:17.15.4c:*:*:*:*:*:*:*",
"matchCriteriaId": "2E88110E-78DE-4799-8F22-37E8B010DF81",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:cisco:unified_threat_defense_snort_intrusion_prevention_system_engine:17.16.1a:*:*:*:*:*:*:*",
"matchCriteriaId": "D1D5E95D-1CE2-472B-A4C6-E098B01BA3FC",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:cisco:unified_threat_defense_snort_intrusion_prevention_system_engine:17.17.1:*:*:*:*:*:*:*",
"matchCriteriaId": "6D8E05E5-1957-44D0-BD34-45A9AB4782B8",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:cisco:unified_threat_defense_snort_intrusion_prevention_system_engine:17.18.1:*:*:*:*:*:*:*",
"matchCriteriaId": "7AB3A273-B0E6-4659-91C4-77F0192EE1DC",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:cisco:unified_threat_defense_snort_intrusion_prevention_system_engine:17.18.1a:*:*:*:*:*:*:*",
"matchCriteriaId": "2FFB4BE9-4CC8-49F2-851C-F4EA098BA3AF",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:cisco:unified_threat_defense_snort_intrusion_prevention_system_engine:17.18.2:*:*:*:*:*:*:*",
"matchCriteriaId": "E8759E40-63D2-4FA4-9A40-CB330413798E",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Multiple Cisco products are affected by vulnerabilities in the Snort 3 VBA feature that could allow an unauthenticated, remote attacker to cause the Snort 3 Detection Engine to crash.\r\n\r\nThese vulnerabilities are due to improper error checking when decompressing VBA data. An attacker could exploit these vulnerabilities by sending crafted VBA data to the Snort 3 Detection Engine on the targeted device. A successful exploit could allow the attacker to cause the Snort 3 Detection Engine to unexpectedly restart, causing a DoS condition."
},
{
"lang": "es",
"value": "M\u00faltiples productos Cisco se ven afectados por vulnerabilidades en la caracter\u00edstica VBA de Snort 3 que podr\u00edan permitir a un atacante remoto no autenticado provocar la ca\u00edda del motor de detecci\u00f3n de Snort 3.\n\nEstas vulnerabilidades se deben a una comprobaci\u00f3n de errores incorrecta al descomprimir datos VBA. Un atacante podr\u00eda explotar estas vulnerabilidades enviando datos VBA manipulados al motor de detecci\u00f3n de Snort 3 en el dispositivo objetivo. Un exploit exitoso podr\u00eda permitir al atacante provocar que el motor de detecci\u00f3n de Snort 3 se reinicie inesperadamente, causando una condici\u00f3n de DoS."
}
],
"id": "CVE-2026-20058",
"lastModified": "2026-08-20T10:37:34.360",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "psirt@cisco.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-20058",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-04T21:01:22.100265Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-03-04T18:16:20.643",
"references": [
{
"source": "psirt@cisco.com",
"tags": [
"Mitigation",
"Vendor Advisory"
],
"url": "https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-ftd-snort3-vbavuls-96UcVVed"
}
],
"sourceIdentifier": "psirt@cisco.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-786"
}
],
"source": "psirt@cisco.com",
"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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