FKIE_CVE-2007-4930
Vulnerability from fkie_nvd - Published: 2007-09-18 18:17 - Updated: 2026-06-16 22:45
Severity
Summary
Multiple cross-site request forgery (CSRF) vulnerabilities in the AXIS 207W camera allow remote attackers to perform certain actions as administrators via (1) axis-cgi/admin/restart.cgi, (2) the user and sgrp parameters to axis-cgi/admin/pwdgrp.cgi in an add action, or (3) the server parameter to admin/restartMessage.shtml.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| axis | 207w_network_camera | * |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:h:axis:207w_network_camera:*:*:*:*:*:*:*:*",
"matchCriteriaId": "14BB40E6-D830-453A-BE99-AD0C3E86EC07",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Multiple cross-site request forgery (CSRF) vulnerabilities in the AXIS 207W camera allow remote attackers to perform certain actions as administrators via (1) axis-cgi/admin/restart.cgi, (2) the user and sgrp parameters to axis-cgi/admin/pwdgrp.cgi in an add action, or (3) the server parameter to admin/restartMessage.shtml."
},
{
"lang": "es",
"value": "M\u00faltiples vulnerabilidades de falsificaci\u00f3n de petici\u00f3n en sitios cruzados (CSRF) en la c\u00e1mara AXIS 207W permiten a atacantes remotos realizar ciertas acciones como administradores a trav\u00e9s de (1) axis-cgi/admin/restart.cgi, (2) los par\u00e1metros user y sgrp al axis-cgi/admin/pwdgrp.cgi en la acci\u00f3n add o (3) el par\u00e1metro server del admin/restartMessage.shtml."
}
],
"id": "CVE-2007-4930",
"lastModified": "2026-06-16T22:45:06.730",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
]
},
"published": "2007-09-18T18:17:00.000",
"references": [
{
"source": "cve@mitre.org",
"url": "http://airscanner.com/security/07080701_axis.htm"
},
{
"source": "cve@mitre.org",
"url": "http://secunia.com/advisories/26831"
},
{
"source": "cve@mitre.org",
"url": "http://securityreason.com/securityalert/3145"
},
{
"source": "cve@mitre.org",
"url": "http://www.informit.com/articles/article.aspx?p=1016102"
},
{
"source": "cve@mitre.org",
"url": "http://www.securityfocus.com/archive/1/479600/100/0/threaded"
},
{
"source": "cve@mitre.org",
"tags": [
"Exploit"
],
"url": "http://www.securityfocus.com/bid/25678"
},
{
"source": "cve@mitre.org",
"url": "http://www.securitytracker.com/id?1018699"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://airscanner.com/security/07080701_axis.htm"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://secunia.com/advisories/26831"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://securityreason.com/securityalert/3145"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.informit.com/articles/article.aspx?p=1016102"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/archive/1/479600/100/0/threaded"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit"
],
"url": "http://www.securityfocus.com/bid/25678"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securitytracker.com/id?1018699"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-352"
}
],
"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…
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.
Loading…
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.
Loading…