FKIE_CVE-2019-5294
Vulnerability from fkie_nvd - Published: 2019-11-13 17:15 - Updated: 2026-06-17 02:37
Severity
Summary
There is an out of bound read vulnerability in some Huawei products. A remote, unauthenticated attacker may send a corrupt or crafted message to the affected products. Due to a buffer read overflow error when parsing the message, successful exploit may cause some service to be abnormal.
References
Impacted products
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"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "AR120-S V200R005C20, V200R006C10, V200R007C00, AR1200 V200R005C20, V200R006C10, V200R007C00, AR1200-S V200R005C20, V200R006C10, V200R007C00, AR150 V200R005C20, V200R006C10, V200R007C00, AR150-S V200R005C20, V200R006C10, V200R007C00, AR160 V200R005C20, V200R006C10, V200R007C00, AR200 V200R005C20, V200R006C10, V200R007C00, AR200-S V200R005C20, V200R006C10, V200R007C00, AR2200 V200R005C20, V200R006C10, V200R007C00, AR2200-S V200R005C20, V200R006C10, V200R007C00, AR3200 V200R005C20, V200R006C10, AR3600 V200R006C10, V200R007C00, NetEngine16EX V200R005C20, V200R006C10, V200R007C00, SRG1300 V200R005C20, V200R006C10, V200R007C00, SRG2300 V200R005C20, V200R006C10, V200R007C00, SRG3300 V200R005C20, V200R006C10, V200R007C00"
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"source": "psirt@huawei.com"
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"lastModified": "2026-06-17T02:37:27.470",
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"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2019-11-13T17:15:14.133",
"references": [
{
"source": "psirt@huawei.com",
"tags": [
"Vendor Advisory"
],
"url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20191023-01-buffer-en"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20191023-01-buffer-en"
}
],
"sourceIdentifier": "psirt@huawei.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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