FKIE_CVE-2006-6170
Vulnerability from fkie_nvd - Published: 2006-11-30 15:28 - Updated: 2026-06-16 22:32
Severity
Summary
Buffer overflow in the tls_x509_name_oneline function in the mod_tls module, as used in ProFTPD 1.3.0a and earlier, and possibly other products, allows remote attackers to execute arbitrary code via a large data length argument, a different vulnerability than CVE-2006-5815.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| proftpd_project | proftpd | * |
{
"affected": [
{
"affectedData": [
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"vendor": "n/a",
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"version": "n/a"
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"source": "cve@mitre.org"
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"configurations": [
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"nodes": [
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"cveTags": [],
"descriptions": [
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"value": "Buffer overflow in the tls_x509_name_oneline function in the mod_tls module, as used in ProFTPD 1.3.0a and earlier, and possibly other products, allows remote attackers to execute arbitrary code via a large data length argument, a different vulnerability than CVE-2006-5815."
},
{
"lang": "es",
"value": "Desbordamiento de b\u00fafer en la funci\u00f3n tls_x509_name_oneline en el m\u00f3dulo mod_tls, tal y como se usa en ProFTPD 1.3.0a y versiones anteriores, y posiblemente otros productos, permite a atacantes remotos ejecutar c\u00f3digo de su elecci\u00f3n mediante un argumento con datos de gran longitud.\r\nVulnerabilidad distinta a CVE-2006-5815."
}
],
"id": "CVE-2006-6170",
"lastModified": "2026-06-16T22:32:36.530",
"metrics": {
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{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
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"source": "nvd@nist.gov",
"type": "Primary",
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"published": "2006-11-30T15:28:00.000",
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}
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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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