FKIE_CVE-2017-14239
Vulnerability from fkie_nvd - Published: 2017-09-11 09:29 - Updated: 2026-05-13 00:24
Severity
Summary
Multiple cross-site scripting (XSS) vulnerabilities in Dolibarr ERP/CRM 6.0.0 allow remote authenticated users to inject arbitrary web script or HTML via the (1) CompanyName, (2) CompanyAddress, (3) CompanyZip, (4) CompanyTown, (5) Fax, (6) EMail, (7) Web, (8) ManagingDirectors, (9) Note, (10) Capital, (11) ProfId1, (12) ProfId2, (13) ProfId3, (14) ProfId4, (15) ProfId5, or (16) ProfId6 parameter to htdocs/admin/company.php.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/Dolibarr/dolibarr/commit/d26b2a694de30f95e46ea54ea72cc54f0d38e548 | Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/Dolibarr/dolibarr/commit/d26b2a694de30f95e46ea54ea72cc54f0d38e548 | Patch, Third Party Advisory |
{
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:dolibarr:dolibarr:6.0.0:*:*:*:*:*:*:*",
"matchCriteriaId": "DB7E0AC9-13AB-4343-BFB6-6338B66E323B",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Multiple cross-site scripting (XSS) vulnerabilities in Dolibarr ERP/CRM 6.0.0 allow remote authenticated users to inject arbitrary web script or HTML via the (1) CompanyName, (2) CompanyAddress, (3) CompanyZip, (4) CompanyTown, (5) Fax, (6) EMail, (7) Web, (8) ManagingDirectors, (9) Note, (10) Capital, (11) ProfId1, (12) ProfId2, (13) ProfId3, (14) ProfId4, (15) ProfId5, or (16) ProfId6 parameter to htdocs/admin/company.php."
},
{
"lang": "es",
"value": "Existen m\u00faltiples vulnerabilidades de tipo Cross-Site Scripting (XSS) en Dolibarr ERP/CRM 6.0.0 que permiten a usuarios autenticados remotos inyectar scripts web o HTML arbitrarios mediante los par\u00e1metros (1) CompanyName, (2) CompanyAddress, (3) CompanyZip, (4) CompanyTown, (5) Fax, (6) EMail, (7) Web, (8) ManagingDirectors, (9) Note, (10) Capital, (11) ProfId1, (12) ProfId2, (13) ProfId3, (14) ProfId4, (15) ProfId5 o (16) ProfId6 en htdocs/admin/company.php."
}
],
"id": "CVE-2017-14239",
"lastModified": "2026-05-13T00:24:29.033",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 6.8,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"version": "3.0"
},
"exploitabilityScore": 2.3,
"impactScore": 2.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-09-11T09:29:00.233",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/Dolibarr/dolibarr/commit/d26b2a694de30f95e46ea54ea72cc54f0d38e548"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/Dolibarr/dolibarr/commit/d26b2a694de30f95e46ea54ea72cc54f0d38e548"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…