FKIE_CVE-2015-5841
Vulnerability from fkie_nvd - Published: 2015-09-18 10:59 - Updated: 2026-06-17 00:29
Severity
Summary
The CFNetwork Proxies component in Apple iOS before 9 does not properly handle a Set-Cookie header within a response to an HTTP CONNECT request, which allows remote proxy servers to conduct cookie-injection attacks via a crafted response.
References
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "product-security@apple.com"
}
],
"configurations": [
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"versionEndIncluding": "10.10.5",
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The CFNetwork Proxies component in Apple iOS before 9 does not properly handle a Set-Cookie header within a response to an HTTP CONNECT request, which allows remote proxy servers to conduct cookie-injection attacks via a crafted response."
},
{
"lang": "es",
"value": "Vulnerabilidad en el componente CFNetwork Proxies en Apple iOS en versiones anteriores a 9, no maneja correctamente una cabecera Set-Cookie en una respuesta en una petici\u00f3n HTTP CONNECT, lo que permite a servidores proxy remotos realizar un ataque de cookie-injection a trav\u00e9s de una respuesta manipulada."
}
],
"id": "CVE-2015-5841",
"lastModified": "2026-06-17T00:29:52.683",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
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"published": "2015-09-18T10:59:55.673",
"references": [
{
"source": "product-security@apple.com",
"tags": [
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"url": "http://lists.apple.com/archives/security-announce/2015/Sep/msg00001.html"
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{
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"url": "http://lists.apple.com/archives/security-announce/2015/Sep/msg00008.html"
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"url": "http://www.securityfocus.com/bid/76764"
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"url": "http://www.securitytracker.com/id/1033609"
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},
{
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"url": "http://www.securityfocus.com/bid/76764"
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{
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"url": "http://www.securitytracker.com/id/1033609"
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"tags": [
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"url": "https://support.apple.com/HT205212"
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"tags": [
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"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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],
"sourceIdentifier": "product-security@apple.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-74"
}
],
"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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