GHSA-F2MX-7P4C-2CVR
Vulnerability from github – Published: 2022-05-14 02:53 – Updated: 2025-04-11 04:18
VLAI
Details
The Starbucks 2.6.1 application for iOS stores sensitive information in plaintext in the Crashlytics log file (/Library/Caches/com.crashlytics.data/com.starbucks.mystarbucks/session.clslog), which allows attackers to discover usernames, passwords, and e-mail addresses via an application that reads session.clslog.
{
"affected": [],
"aliases": [
"CVE-2014-0647"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2014-01-28T00:55:00Z",
"severity": "LOW"
},
"details": "The Starbucks 2.6.1 application for iOS stores sensitive information in plaintext in the Crashlytics log file (/Library/Caches/com.crashlytics.data/com.starbucks.mystarbucks/session.clslog), which allows attackers to discover usernames, passwords, and e-mail addresses via an application that reads session.clslog.",
"id": "GHSA-f2mx-7p4c-2cvr",
"modified": "2025-04-11T04:18:33Z",
"published": "2022-05-14T02:53:59Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2014-0647"
},
{
"type": "WEB",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/90412"
},
{
"type": "WEB",
"url": "https://itunes.apple.com/us/app/starbucks/id331177714?mt=8"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2014/Jan/123"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2014/Jan/64"
},
{
"type": "WEB",
"url": "http://www.osvdb.org/102514"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/archive/1/530756/100/0/threaded"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/64942"
},
{
"type": "WEB",
"url": "http://www.zdnet.com/starbucks-fixes-ios-app-bugs-7000025323"
},
{
"type": "WEB",
"url": "http://www.zdnet.com/the-starbucks-bug-not-as-awful-as-reported-7000025269"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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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