CVE-2017-9314 (GCVE-0-2017-9314)
Vulnerability from cvelistv5 – Published: 2017-11-13 16:00 – Updated: 2024-09-16 16:38
VLAI
EPSS
VEX
Summary
Authentication vulnerability found in Dahua NVR models NVR50XX, NVR52XX, NVR54XX, NVR58XX with software before DH_NVR5xxx_Eng_P_V2.616.0000.0.R.20171102. Attacker could exploit this vulnerability to gain access to additional operations by means of forging json message.
Severity
8.8 (High)
CWE
- Authentication vulnerability
Assigner
References
1 reference
| URL | Tags |
|---|---|
| http://www.dahuasecurity.com/annoucementsingle/se… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Dahua Technologies | NVR50XX, VR52XX, VR54XX, VR58XX |
Affected:
Versions Build between 2013 and 2017/10
|
guessed |
Date Public
2017-11-08 00:00
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"versionEndExcluding": "dh_nvr5224_eng_p_v2.616.0000.0.r.20171102",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
},
{
"cpeMatch": [
{
"criteria": "cpe:2.3:h:dahuasecurity:nvr5224-24p-4ks2:-:*:*:*:*:*:*:*",
"matchCriteriaId": "C80484CC-016E-4FED-8F86-8D5CFC1CBD69",
"vulnerable": false
}
],
"negate": false,
"operator": "OR"
}
],
"operator": "AND"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Authentication vulnerability found in Dahua NVR models NVR50XX, NVR52XX, NVR54XX, NVR58XX with software before DH_NVR5xxx_Eng_P_V2.616.0000.0.R.20171102. Attacker could exploit this vulnerability to gain access to additional operations by means of forging json message."
},
{
"lang": "es",
"value": "Se ha encontrado una vulnerabilidad de autenticaci\u00f3n en Dahua NVR, modelos NVR50XX, NVR52XX, NVR54XX y NVR58XX con software anterior a DH_NVR5xxx_Eng_P_V2.616.0000.0.R.20171102. Un atacante podr\u00eda explotar esta vulnerabilidad para obtener acceso a operaciones adicionales por medio de la falsificaci\u00f3n de un mensaje json."
}
],
"id": "CVE-2017-9314",
"lastModified": "2026-05-13T00:24:29.033",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-11-13T16:29:00.327",
"references": [
{
"source": "cybersecurity@dahuatech.com",
"tags": [
"Issue Tracking",
"Vendor Advisory"
],
"url": "http://www.dahuasecurity.com/annoucementsingle/security-advisory--authentication-vulnerability-found-in-some-dahua-nvr_14731_211.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Issue Tracking",
"Vendor Advisory"
],
"url": "http://www.dahuasecurity.com/annoucementsingle/security-advisory--authentication-vulnerability-found-in-some-dahua-nvr_14731_211.html"
}
],
"sourceIdentifier": "cybersecurity@dahuatech.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-287"
}
],
"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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