FKIE_CVE-2013-4508
Vulnerability from fkie_nvd - Published: 2013-11-08 04:47 - Updated: 2026-06-16 23:57
Severity
Summary
lighttpd before 1.4.34, when SNI is enabled, configures weak SSL ciphers, which makes it easier for remote attackers to hijack sessions by inserting packets into the client-server data stream or obtain sensitive information by sniffing the network.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lighttpd | lighttpd | * | |
| debian | debian_linux | 6.0 | |
| debian | debian_linux | 7.0 | |
| debian | debian_linux | 8.0 | |
| opensuse | opensuse | 12.2 | |
| opensuse | opensuse | 12.3 | |
| opensuse | opensuse | 13.1 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
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"versionEndIncluding": "1.4.33",
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}
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"descriptions": [
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"value": "lighttpd before 1.4.34, when SNI is enabled, configures weak SSL ciphers, which makes it easier for remote attackers to hijack sessions by inserting packets into the client-server data stream or obtain sensitive information by sniffing the network."
},
{
"lang": "es",
"value": "lighttpd anteriores a 1.4.34, cuando SNI esta habilitado, configura cifrados SSL d\u00e9biles, lo que hace m\u00e1s f\u00e1cil para un atacante remoto secuestrar sesiones insertando paquetes en el flujo de datos cliente-servidor u obtener informaci\u00f3n sensible capturando la red."
}
],
"id": "CVE-2013-4508",
"lastModified": "2026-06-16T23:57:21.210",
"metrics": {
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"baseSeverity": "MEDIUM",
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"accessVector": "NETWORK",
"authentication": "NONE",
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"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:N/A:N",
"version": "2.0"
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"impactScore": 2.9,
"obtainAllPrivilege": false,
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
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"source": "nvd@nist.gov",
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"published": "2013-11-08T04:47:22.900",
"references": [
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-326"
}
],
"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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