FKIE_CVE-2022-47070
Vulnerability from fkie_nvd - Published: 2023-02-03 21:15 - Updated: 2025-03-26 16:15
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Summary
NVS365 V01 is vulnerable to Incorrect Access Control. After entering a wrong password, the url will be sent to the server twice. In the second package, the server will return the correct password information.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| nvs365 | nvs-365-v01_firmware | - | |
| nvs365 | nvs-365-v01 | - |
{
"configurations": [
{
"nodes": [
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"criteria": "cpe:2.3:o:nvs365:nvs-365-v01_firmware:-:*:*:*:*:*:*:*",
"matchCriteriaId": "C5F6DCB2-2B41-4900-B694-9E7E01D54F69",
"vulnerable": true
}
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"cpeMatch": [
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"vulnerable": false
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"negate": false,
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "NVS365 V01 is vulnerable to Incorrect Access Control. After entering a wrong password, the url will be sent to the server twice. In the second package, the server will return the correct password information."
}
],
"id": "CVE-2022-47070",
"lastModified": "2025-03-26T16:15:16.247",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
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"source": "nvd@nist.gov",
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"published": "2023-02-03T21:15:10.723",
"references": [
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"tags": [
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"url": "https://github.com/Sylon001/NVS-365-Camera/tree/master/NVS365%20Network%20Video%20Server%20Password%20Information%20Unauthorized%20Access%20Vulnerability"
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"tags": [
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"vulnStatus": "Modified",
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"type": "Secondary"
}
]
}
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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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