CVE-2019-1869 (GCVE-0-2019-1869)
Vulnerability from cvelistv5 – Published: 2019-06-20 02:55 – Updated: 2024-11-19 19:05
VLAI
EPSS
VEX
Title
Cisco StarOS Denial of Service Vulnerability
Summary
A vulnerability in the internal packet-processing functionality of the Cisco StarOS operating system running on virtual platforms could allow an unauthenticated, remote attacker to cause an affected device to stop processing traffic, resulting in a denial of service (DoS) condition. The vulnerability is due to a logic error that may occur under specific traffic conditions. An attacker could exploit this vulnerability by sending a series of crafted packets to an affected device. A successful exploit could allow the attacker to prevent the targeted service interface from receiving any traffic, which would lead to a DoS condition on the affected interface. The device may have to be manually reloaded to recover from exploitation of this vulnerability.
Severity
8.6 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-19 17:24 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://tools.cisco.com/security/center/content/C… | vendor-advisoryx_refsource_CISCO |
| http://www.securityfocus.com/bid/108853 | vdb-entryx_refsource_BID |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Cisco | Cisco ASR 5000 Series Software |
Affected:
unspecified , < 21.11.1
(custom)
|
guessed |
Date Public
2019-06-19 00:00
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"lang": "eng",
"value": "CWE-824"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "20190619 Cisco StarOS Denial of Service Vulnerability",
"refsource": "CISCO",
"url": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190619-staros-asr-dos"
},
{
"name": "108853",
"refsource": "BID",
"url": "http://www.securityfocus.com/bid/108853"
}
]
},
"source": {
"advisory": "cisco-sa-20190619-staros-asr-dos",
"defect": [
[
"CSCvn06757"
]
],
"discovery": "INTERNAL"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "d1c1063e-7a18-46af-9102-31f8928bc633",
"assignerShortName": "cisco",
"cveId": "CVE-2019-1869",
"datePublished": "2019-06-20T02:55:15.750Z",
"dateReserved": "2018-12-06T00:00:00.000Z",
"dateUpdated": "2024-11-19T19:05:58.503Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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