FKIE_CVE-2024-5659
Vulnerability from fkie_nvd - Published: 2024-06-14 17:15 - Updated: 2026-06-17 08:16
Severity
Summary
Rockwell Automation was made aware of a vulnerability that causes all affected controllers on the same network to result in a major nonrecoverable fault(MNRF/Assert). This vulnerability could be exploited by sending abnormal packets to the mDNS port. If exploited, the availability of the device would be compromised.
References
Impacted products
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"value": "Rockwell Automation was made aware of a vulnerability that causes all affected controllers on the same network to result in a major nonrecoverable fault(MNRF/Assert). This vulnerability could be exploited by sending abnormal packets to the mDNS port.\u00a0If exploited, the availability of the device would be compromised."
},
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"lang": "es",
"value": "Rockwell Automation fue informado de una vulnerabilidad que hace que todos los controladores afectados en la misma red produzcan una falla importante no recuperable (MNRF/Assert). Esta vulnerabilidad podr\u00eda explotarse enviando paquetes anormales al puerto mDNS. Si se explota, la disponibilidad del dispositivo se ver\u00eda comprometida."
}
],
"id": "CVE-2024-5659",
"lastModified": "2026-06-17T08:16:22.800",
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"attackVector": "ADJACENT_NETWORK",
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"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
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"availabilityRequirement": "NOT_DEFINED",
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"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
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"modifiedSubIntegrityImpact": "NOT_DEFINED",
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"valueDensity": "NOT_DEFINED",
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"timestamp": "2024-06-15T19:57:53.882617Z",
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"published": "2024-06-14T17:15:51.600",
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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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