FKIE_CVE-2007-5528
Vulnerability from fkie_nvd - Published: 2007-10-17 23:17 - Updated: 2026-06-16 22:46
Severity
Summary
Multiple unspecified vulnerabilities in Oracle E-Business Suite 12.0.2 have unknown impact and attack vectors related to (1) Public Sector Human Resources (APP03) and (2) Quoting component (APP06).
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| oracle | e-business_suite | 12.0.2 |
{
"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:a:oracle:e-business_suite:12.0.2:*:*:*:*:*:*:*",
"matchCriteriaId": "97765939-6102-402F-ACE7-AA7B2350016E",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Multiple unspecified vulnerabilities in Oracle E-Business Suite 12.0.2 have unknown impact and attack vectors related to (1) Public Sector Human Resources (APP03) and (2) Quoting component (APP06)."
},
{
"lang": "es",
"value": "M\u00faltiples vulnerabilidades no especificadas en Oracle E-Business Suite 12.0.2 tienenn impacto y vectores de ataque desconocidos relacionados con (1) Recursos Humanos del Sector P\u00fablico (Public Sector Human Resources) (APP03) y (2) el componente de Presupuestos (Quoting) (APP06)."
}
],
"id": "CVE-2007-5528",
"lastModified": "2026-06-16T22:46:20.380",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 10.0,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:L/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2007-10-17T23:17:00.000",
"references": [
{
"source": "cve@mitre.org",
"url": "http://marc.info/?l=bugtraq\u0026m=119332677525918\u0026w=2"
},
{
"source": "cve@mitre.org",
"tags": [
"Vendor Advisory"
],
"url": "http://secunia.com/advisories/27251"
},
{
"source": "cve@mitre.org",
"url": "http://secunia.com/advisories/27409"
},
{
"source": "cve@mitre.org",
"url": "http://www.oracle.com/technetwork/topics/security/cpuoct2007-092913.html"
},
{
"source": "cve@mitre.org",
"url": "http://www.securitytracker.com/id?1018823"
},
{
"source": "cve@mitre.org",
"tags": [
"US Government Resource"
],
"url": "http://www.us-cert.gov/cas/techalerts/TA07-290A.html"
},
{
"source": "cve@mitre.org",
"url": "http://www.vupen.com/english/advisories/2007/3524"
},
{
"source": "cve@mitre.org",
"url": "http://www.vupen.com/english/advisories/2007/3626"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://marc.info/?l=bugtraq\u0026m=119332677525918\u0026w=2"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "http://secunia.com/advisories/27251"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://secunia.com/advisories/27409"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.oracle.com/technetwork/topics/security/cpuoct2007-092913.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securitytracker.com/id?1018823"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"US Government Resource"
],
"url": "http://www.us-cert.gov/cas/techalerts/TA07-290A.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.vupen.com/english/advisories/2007/3524"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.vupen.com/english/advisories/2007/3626"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"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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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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