GSD-2024-22196
Vulnerability from gsd - Updated: 2024-01-08 06:02Details
Nginx-UI is an online statistics for Server Indicators Monitor CPU usage, memory usage, load average, and disk usage in real-time. This issue may lead to information disclosure. By using `DefaultQuery`, the `"desc"` and `"id"` values are used as default values if the query parameters are not set. Thus, the `order` and `sort_by` query parameter are user-controlled and are being appended to the `order` variable without any sanitization. This issue has been patched in version 2.0.0.beta.9.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2024-22196"
],
"details": "Nginx-UI is an online statistics for Server Indicators\u200b\u200b Monitor CPU usage, memory usage, load average, and disk usage in real-time. This issue may lead to information disclosure. By using `DefaultQuery`, the `\"desc\"` and `\"id\"` values are used as default values if the query parameters are not set. Thus, the `order` and `sort_by` query parameter are user-controlled and are being appended to the `order` variable without any sanitization. This issue has been patched in version 2.0.0.beta.9.\n\n",
"id": "GSD-2024-22196",
"modified": "2024-01-08T06:02:13.795607Z",
"schema_version": "1.4.0"
}
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"value": "Nginx-UI is an online statistics for Server Indicators\u200b\u200b Monitor CPU usage, memory usage, load average, and disk usage in real-time. This issue may lead to information disclosure. By using `DefaultQuery`, the `\"desc\"` and `\"id\"` values are used as default values if the query parameters are not set. Thus, the `order` and `sort_by` query parameter are user-controlled and are being appended to the `order` variable without any sanitization. This issue has been patched in version 2.0.0.beta.9.\n\n"
}
]
},
"impact": {
"cvss": [
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"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"lang": "eng",
"value": "CWE-89: Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/0xJacky/nginx-ui/security/advisories/GHSA-h374-mm57-879c",
"refsource": "MISC",
"url": "https://github.com/0xJacky/nginx-ui/security/advisories/GHSA-h374-mm57-879c"
},
{
"name": "https://github.com/0xJacky/nginx-ui/commit/ec93ab05a3ecbb6bcf464d9dca48d74452df8a5b",
"refsource": "MISC",
"url": "https://github.com/0xJacky/nginx-ui/commit/ec93ab05a3ecbb6bcf464d9dca48d74452df8a5b"
}
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"source": {
"advisory": "GHSA-h374-mm57-879c",
"discovery": "UNKNOWN"
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"cve": {
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"value": "Nginx-UI is an online statistics for Server Indicators\u200b\u200b Monitor CPU usage, memory usage, load average, and disk usage in real-time. This issue may lead to information disclosure. By using `DefaultQuery`, the `\"desc\"` and `\"id\"` values are used as default values if the query parameters are not set. Thus, the `order` and `sort_by` query parameter are user-controlled and are being appended to the `order` variable without any sanitization. This issue has been patched in version 2.0.0.beta.9.\n\n"
},
{
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"value": "Nginx-UI es una estad\u00edstica en l\u00ednea para indicadores del servidor que monitorea el uso de la CPU, el uso de la memoria, el promedio de carga y el uso del disco en tiempo real. Este problema puede dar lugar a la divulgaci\u00f3n de informaci\u00f3n. Al utilizar `DefaultQuery`, los valores `\"desc\"` e `\"id\"` se utilizan como valores predeterminados si los par\u00e1metros de consulta no est\u00e1n configurados. Por lo tanto, los par\u00e1metros de consulta `order` y `sort_by` est\u00e1n controlados por el usuario y se agregan a la variable `order` sin ning\u00fan tipo de sanitizaci\u00f3n. Este problema se solucion\u00f3 en la versi\u00f3n 2.0.0.beta.9."
}
],
"id": "CVE-2024-22196",
"lastModified": "2024-02-29T01:44:05.347",
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"published": "2024-01-11T20:15:44.923",
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}
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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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