FKIE_CVE-2022-27192
Vulnerability from fkie_nvd - Published: 2022-03-23 22:15 - Updated: 2024-11-21 06:55
Severity
Summary
The Reporting module in Aseco Lietuva document management system DVS Avilys before 3.5.58 allows unauthorized file download. An unauthenticated attacker can impersonate an administrator by reading administrative files.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/transcendent-group/advisories/blob/main/CVE-2022-27192.md | Third Party Advisory | |
| cve@mitre.org | https://lt.asseco.com/sprendimai/dokumentu-valdymas/dvs-avilys/ | Product, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/transcendent-group/advisories/blob/main/CVE-2022-27192.md | Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://lt.asseco.com/sprendimai/dokumentu-valdymas/dvs-avilys/ | Product, Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| asseco | dvs_avilys | * |
{
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:asseco:dvs_avilys:*:*:*:*:*:*:*:*",
"matchCriteriaId": "74C239F9-F0C6-4F86-A98B-0E4783F4C263",
"versionEndExcluding": "3.5.58",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Reporting module in Aseco Lietuva document management system DVS Avilys before 3.5.58 allows unauthorized file download. An unauthenticated attacker can impersonate an administrator by reading administrative files."
},
{
"lang": "es",
"value": "El m\u00f3dulo de informes del sistema de gesti\u00f3n documental DVS Avilys de Aseco Lietuva anterior a la versi\u00f3n 3.5.58 permite la descarga de archivos no autorizados. Un atacante no autenticado puede hacerse pasar por un administrador leyendo archivos administrativos"
}
],
"id": "CVE-2022-27192",
"lastModified": "2024-11-21T06:55:22.807",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"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",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-03-23T22:15:13.373",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/transcendent-group/advisories/blob/main/CVE-2022-27192.md"
},
{
"source": "cve@mitre.org",
"tags": [
"Product",
"Vendor Advisory"
],
"url": "https://lt.asseco.com/sprendimai/dokumentu-valdymas/dvs-avilys/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/transcendent-group/advisories/blob/main/CVE-2022-27192.md"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product",
"Vendor Advisory"
],
"url": "https://lt.asseco.com/sprendimai/dokumentu-valdymas/dvs-avilys/"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-532"
}
],
"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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