GSD-2022-47372
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Stored cross-site scripting vulnerability in the Create event section in Pandora FMS Console v766 and lower. An attacker typically exploits this vulnerability by injecting XSS payloads on popular pages of a site or passing a link to a victim, tricking them into viewing the page that contains the stored XSS payload.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-47372",
"id": "GSD-2022-47372"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-47372"
],
"details": "Stored cross-site scripting vulnerability in the Create event section in Pandora FMS Console v766 and lower. An attacker typically exploits this vulnerability by injecting XSS payloads on popular pages of a site or passing a link to a victim, tricking them into viewing the page that contains the stored XSS payload.\n\n",
"id": "GSD-2022-47372",
"modified": "2023-12-13T01:19:36.331843Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Pandora FMS",
"version": {
"version_data": [
{
"version_affected": "\u003c=",
"version_name": "0",
"version_value": "v766"
}
]
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]
},
"vendor_name": "Artica PFMS"
}
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"description": {
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"value": "Stored cross-site scripting vulnerability in the Create event section in Pandora FMS Console v766 and lower. An attacker typically exploits this vulnerability by injecting XSS payloads on popular pages of a site or passing a link to a victim, tricking them into viewing the page that contains the stored XSS payload.\n\n"
}
]
},
"generator": {
"engine": "Vulnogram 0.0.9"
},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:L",
"version": "3.1"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"cweId": "CWE-352",
"lang": "eng",
"value": "CWE-352 Cross-Site Request Forgery (CSRF)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://pandorafms.com/en/security/common-vulnerabilities-and-exposures/",
"refsource": "MISC",
"url": "https://pandorafms.com/en/security/common-vulnerabilities-and-exposures/"
},
{
"name": "https://gist.github.com/damodarnaik/576c39162fce7da458d2f41f1cbe99e8",
"refsource": "MISC",
"url": "https://gist.github.com/damodarnaik/576c39162fce7da458d2f41f1cbe99e8"
}
]
},
"solution": [
{
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"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003efixed in v767\u003c/p\u003e"
}
],
"value": "fixed in v767\n\n"
}
],
"source": {
"defect": [
"2022-47372"
],
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:pandorafms:pandora_fms:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndIncluding": "766",
"vulnerable": true
}
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"description": {
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"value": "Stored cross-site scripting vulnerability in the Create event section in Pandora FMS Console v766 and lower. An attacker typically exploits this vulnerability by injecting XSS payloads on popular pages of a site or passing a link to a victim, tricking them into viewing the page that contains the stored XSS payload.\n\n"
}
]
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"problemtype": {
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"references": {
"reference_data": [
{
"name": "https://pandorafms.com/en/security/common-vulnerabilities-and-exposures/",
"refsource": "CONFIRM",
"tags": [
"Vendor Advisory"
],
"url": "https://pandorafms.com/en/security/common-vulnerabilities-and-exposures/"
},
{
"name": "https://gist.github.com/damodarnaik/576c39162fce7da458d2f41f1cbe99e8",
"refsource": "MISC",
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}
]
}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 2.7
}
},
"lastModifiedDate": "2023-10-18T12:15Z",
"publishedDate": "2023-02-15T04:15Z"
}
}
}
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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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