GSD-2023-2306
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Qognify NiceVision versions 3.1 and prior are vulnerable to exposing sensitive information using hard-coded credentials. With these credentials an attacker can retrieve information about the cameras, user information, and modify database records.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-2306",
"id": "GSD-2023-2306"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-2306"
],
"details": "\n\n\n\n\nQognify NiceVision versions 3.1 and prior are vulnerable to exposing sensitive information using hard-coded credentials. With these credentials an attacker can retrieve information about the cameras, user information, and modify database records.\n\n\n\n\n",
"id": "GSD-2023-2306",
"modified": "2023-12-13T01:20:31.714823Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2023-2306",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "NiceVision",
"version": {
"version_data": [
{
"version_affected": "\u003c=",
"version_name": "0",
"version_value": "3.1"
}
]
}
}
]
},
"vendor_name": "Qognify"
}
]
}
},
"credits": [
{
"lang": "en",
"value": "Roni Gavrilov of OTORIO reported this vulnerability to CISA."
}
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"data_format": "MITRE",
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"data_version": "4.0",
"description": {
"description_data": [
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"lang": "eng",
"value": "\n\n\n\n\nQognify NiceVision versions 3.1 and prior are vulnerable to exposing sensitive information using hard-coded credentials. With these credentials an attacker can retrieve information about the cameras, user information, and modify database records.\n\n\n\n\n"
}
]
},
"generator": {
"engine": "Vulnogram 0.1.0-dev"
},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 10,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
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]
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"problemtype": {
"problemtype_data": [
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"description": [
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"cweId": "CWE-798",
"lang": "eng",
"value": "CWE-798 Use of Hard-coded Credentials"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://www.cisa.gov/news-events/ics-advisories/icsa-23-278-02",
"refsource": "MISC",
"url": "https://www.cisa.gov/news-events/ics-advisories/icsa-23-278-02"
}
]
},
"solution": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\n\n\u003cp\u003eQognify has released NiceVision v3.2 UP2 HF2. The latest release is available to customers who have an active SMA (Service Maintenance Agreement) with Qognify.\u003c/p\u003e\u003cp\u003eFor more information contact \u003ca target=\"_blank\" rel=\"nofollow\" href=\"https://www.qognify.com/contact-us/\"\u003eQognify\u003c/a\u003e.\u003c/p\u003e\n\n\u003cbr\u003e"
}
],
"value": "\nQognify has released NiceVision v3.2 UP2 HF2. The latest release is available to customers who have an active SMA (Service Maintenance Agreement) with Qognify.\n\nFor more information contact Qognify https://www.qognify.com/contact-us/ .\n\n\n\n\n"
}
],
"source": {
"discovery": "UNKNOWN"
}
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:qognify:nicevision:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndIncluding": "3.1",
"vulnerable": true
}
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"operator": "OR"
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"cve": {
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"ID": "CVE-2023-2306"
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"description": {
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"value": "\n\n\n\n\nQognify NiceVision versions 3.1 and prior are vulnerable to exposing sensitive information using hard-coded credentials. With these credentials an attacker can retrieve information about the cameras, user information, and modify database records.\n\n\n\n\n"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-798"
}
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}
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},
"references": {
"reference_data": [
{
"name": "https://www.cisa.gov/news-events/ics-advisories/icsa-23-278-02",
"refsource": "MISC",
"tags": [
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"US Government Resource"
],
"url": "https://www.cisa.gov/news-events/ics-advisories/icsa-23-278-02"
}
]
}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.2
}
},
"lastModifiedDate": "2023-10-10T19:28Z",
"publishedDate": "2023-10-05T17:15Z"
}
}
}
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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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