FKIE_CVE-2017-16900
Vulnerability from fkie_nvd - Published: 2020-02-27 18:15 - Updated: 2026-06-17 01:10
Severity
Summary
Incorrect Access Control in Hunesion i-oneNet 3.0.6042.1200 allows the local user to access other user's information which is unauthorized via brute force.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | http://hunesion.com | Vendor Advisory | |
| cve@mitre.org | http://i-onenet.com | Broken Link, URL Repurposed | |
| cve@mitre.org | https://github.com/summtime/CVE/tree/master/CVE-2017-16900 | Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | http://hunesion.com | Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | http://i-onenet.com | Broken Link, URL Repurposed | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/summtime/CVE/tree/master/CVE-2017-16900 | Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:hunesion:i-onenet:3.0.6042.1200:*:*:*:*:*:*:*",
"matchCriteriaId": "00EF8345-6956-4E5D-B336-924AB4EDD64E",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Incorrect Access Control in Hunesion i-oneNet 3.0.6042.1200 allows the local user to access other user\u0027s information which is unauthorized via brute force."
},
{
"lang": "es",
"value": "Un Control de Acceso Incorrecto en Hunesion i-oneNet versi\u00f3n 3.0.6042.1200, permite al usuario local acceder a la informaci\u00f3n de otro usuario que no est\u00e1 autorizado por medio de fuerza bruta."
}
],
"id": "CVE-2017-16900",
"lastModified": "2026-06-17T01:10:07.147",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2020-02-27T18:15:11.263",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Vendor Advisory"
],
"url": "http://hunesion.com"
},
{
"source": "cve@mitre.org",
"tags": [
"Broken Link",
"URL Repurposed"
],
"url": "http://i-onenet.com"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/summtime/CVE/tree/master/CVE-2017-16900"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "http://hunesion.com"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Broken Link",
"URL Repurposed"
],
"url": "http://i-onenet.com"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/summtime/CVE/tree/master/CVE-2017-16900"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-307"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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…
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…