FKIE_CVE-2003-0903
Vulnerability from fkie_nvd - Published: 2004-02-17 05:00 - Updated: 2026-06-16 22:03
Severity
Summary
Buffer overflow in a component of Microsoft Data Access Components (MDAC) 2.5 through 2.8 allows remote attackers to execute arbitrary code via a malformed UDP response to a broadcast request.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| microsoft | data_access_components | 2.5 | |
| microsoft | data_access_components | 2.6 | |
| microsoft | data_access_components | 2.7 | |
| microsoft | data_access_components | 2.8 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
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"criteria": "cpe:2.3:a:microsoft:data_access_components:2.5:*:*:*:*:*:*:*",
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"vulnerable": true
},
{
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Buffer overflow in a component of Microsoft Data Access Components (MDAC) 2.5 through 2.8 allows remote attackers to execute arbitrary code via a malformed UDP response to a broadcast request."
},
{
"lang": "es",
"value": "Desbordamiento de b\u00fafer en un componente de Microsoft Data Access Components (MDAC) 2.5 a 2.8 permite a atacantes remotos ejecutar c\u00f3digo arbitrario mediante una respuesta UDP malformada a una petici\u00f3n de difusi\u00f3n."
}
],
"id": "CVE-2003-0903",
"lastModified": "2026-06-16T22:03:09.540",
"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
}
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},
"published": "2004-02-17T05:00:00.000",
"references": [
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"tags": [
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"url": "http://www.kb.cert.org/vuls/id/139150"
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{
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"url": "http://www.osvdb.org/3457"
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"tags": [
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"url": "http://www.securityfocus.com/bid/9407"
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{
"source": "cve@mitre.org",
"url": "https://docs.microsoft.com/en-us/security-updates/securitybulletins/2004/ms04-003"
},
{
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/14187"
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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