GSD-2016-6231
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Kaspersky Safe Browser iOS before 1.7.0 does not verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to obtain sensitive information via a crafted certificate.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-6231",
"description": "Kaspersky Safe Browser iOS before 1.7.0 does not verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to obtain sensitive information via a crafted certificate.",
"id": "GSD-2016-6231"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "Kaspersky Safe Browser iOS before 1.7.0 does not verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to obtain sensitive information via a crafted certificate.",
"id": "GSD-2016-6231",
"modified": "2023-12-13T01:21:23.414406Z",
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}
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"name": "http://www.info-sec.ca/advisories/Kaspersky-Safe-Browser.html",
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"url": "http://www.info-sec.ca/advisories/Kaspersky-Safe-Browser.html"
},
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"url": "https://support.kaspersky.com/vulnerability.aspx?el=12430#280716"
},
{
"name": "20160801 Kaspersky Safe Browser iOS Application - MITM SSL Certificate Vulnerability (CVE-2016-6231)",
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},
{
"name": "20160805 Kaspersky Safe Browser iOS Application - MITM SSL Certificate Vulnerability (CVE-2016-6231)",
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"url": "http://seclists.org/fulldisclosure/2016/Aug/30"
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 2.2,
"impactScore": 3.6
}
},
"lastModifiedDate": "2018-10-09T20:00Z",
"publishedDate": "2016-08-25T18:59Z"
}
}
}
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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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