GSD-2019-6702
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
The MasterCard Qkr! app before 5.0.8 for iOS has Missing SSL Certificate Validation. NOTE: this CVE only applies to obsolete versions from 2016 or earlier.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-6702",
"description": "The MasterCard Qkr! app before 5.0.8 for iOS has Missing SSL Certificate Validation. NOTE: this CVE only applies to obsolete versions from 2016 or earlier.",
"id": "GSD-2019-6702"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "The MasterCard Qkr! app before 5.0.8 for iOS has Missing SSL Certificate Validation. NOTE: this CVE only applies to obsolete versions from 2016 or earlier.",
"id": "GSD-2019-6702",
"modified": "2023-12-13T01:23:49.163536Z",
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}
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"product_name": "n/a",
"version": {
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"name": "http://packetstormsecurity.com/files/151524/Qkr-With-MasterPass-Man-In-The-Middle.html",
"refsource": "MISC",
"url": "http://packetstormsecurity.com/files/151524/Qkr-With-MasterPass-Man-In-The-Middle.html"
},
{
"name": "20190206 Qkr! with MasterPass iOS Application - MITM SSL Certificate Vulnerability (CVE-2019-6702)",
"refsource": "FULLDISC",
"url": "http://seclists.org/fulldisclosure/2019/Feb/21"
},
{
"name": "https://seclists.org/bugtraq/2019/Feb/28",
"refsource": "MISC",
"url": "https://seclists.org/bugtraq/2019/Feb/28"
},
{
"name": "https://www.info-sec.ca/advisories/Qkr-MasterCard.html",
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"url": "https://www.info-sec.ca/advisories/Qkr-MasterCard.html"
}
]
}
},
"nvd.nist.gov": {
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"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": {
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"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": "2019-03-22T13:28Z",
"publishedDate": "2019-03-21T16:01Z"
}
}
}
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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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