FKIE_CVE-2006-5276
Vulnerability from fkie_nvd - Published: 2007-02-20 01:28 - Updated: 2026-06-16 22:30
Severity
Summary
Stack-based buffer overflow in the DCE/RPC preprocessor in Snort before 2.6.1.3, and 2.7 before beta 2; and Sourcefire Intrusion Sensor; allows remote attackers to execute arbitrary code via crafted SMB traffic.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| snort | snort | * | |
| snort | snort | 2.6.1 | |
| snort | snort | 2.6.1.1 | |
| snort | snort | 2.7_beta1 | |
| sourcefire | intrusion_sensor | 4.1 | |
| sourcefire | intrusion_sensor | 4.1 | |
| sourcefire | intrusion_sensor | 4.5 | |
| sourcefire | intrusion_sensor | 4.5 | |
| sourcefire | intrusion_sensor | 4.6 | |
| sourcefire | intrusion_sensor | 4.6 |
{
"affected": [
{
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "Stack-based buffer overflow in the DCE/RPC preprocessor in Snort before 2.6.1.3, and 2.7 before beta 2; and Sourcefire Intrusion Sensor; allows remote attackers to execute arbitrary code via crafted SMB traffic."
},
{
"lang": "es",
"value": "Desbordamiento de b\u00fafer en el preprocesador DCE/RPC en Snort anterior a 2.6.1.3, y 2.7 anterior a beta 2; y Sourcefire Intrusion Sensor;permite a atacantes remotos ejecutar c\u00f3digo de su elecci\u00f3n mediante tr\u00e1fico SMB manipulado."
}
],
"evaluatorComment": "All affected Sourcefire Intrustion Sensor products are only vulnerable if they are used with SEUs prior to SEU 64.",
"evaluatorSolution": "Upgrade to the latest version of Snort (2.6.1.3 or later), available from the Snort Web site.",
"id": "CVE-2006-5276",
"lastModified": "2026-06-16T22:30:52.750",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
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"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": true,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
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}
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},
"published": "2007-02-20T01:28:00.000",
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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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