FKIE_CVE-2014-8150
Vulnerability from fkie_nvd - Published: 2015-01-15 15:59 - Updated: 2026-06-17 00:16
Severity
Summary
CRLF injection vulnerability in libcurl 6.0 through 7.x before 7.40.0, when using an HTTP proxy, allows remote attackers to inject arbitrary HTTP headers and conduct HTTP response splitting attacks via CRLF sequences in a URL.
References
Impacted products
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{
"nodes": [
{
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "CRLF injection vulnerability in libcurl 6.0 through 7.x before 7.40.0, when using an HTTP proxy, allows remote attackers to inject arbitrary HTTP headers and conduct HTTP response splitting attacks via CRLF sequences in a URL."
},
{
"lang": "es",
"value": "Vulnerabilidad de inyecci\u00f3n CRLF en libcurl 6.0 hasta 7.x anterior a 7.40.0, cuando utiliza un proxy HTTP, permite a atacantes remotos inyectar cabeceras HTTP arbitrarias y realizar ataques de divisi\u00f3n de respuestas HTTP a trav\u00e9s de secuencias de CRLF en una URL."
}
],
"evaluatorComment": "\u003ca href=\"http://cwe.mitre.org/data/definitions/93.html\" target=\"_blank\"\u003eCWE-93: CWE-93: Improper Neutralization of CRLF Sequences (\u0027CRLF Injection\u0027)\u003c/a\u003e",
"id": "CVE-2014-8150",
"lastModified": "2026-06-17T00:16:23.087",
"metrics": {
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{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
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"obtainAllPrivilege": false,
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"source": "nvd@nist.gov",
"type": "Primary",
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}
]
},
"published": "2015-01-15T15:59:06.047",
"references": [
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{
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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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