GSD-2014-8609
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
The addAccount method in src/com/android/settings/accounts/AddAccountSettings.java in the Settings application in Android before 5.0.0 does not properly create a PendingIntent, which allows attackers to use the SYSTEM uid for broadcasting an intent with arbitrary component, action, or category information via a third-party authenticator in a crafted application, aka Bug 17356824.
Aliases
Aliases
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"description": "The addAccount method in src/com/android/settings/accounts/AddAccountSettings.java in the Settings application in Android before 5.0.0 does not properly create a PendingIntent, which allows attackers to use the SYSTEM uid for broadcasting an intent with arbitrary component, action, or category information via a third-party authenticator in a crafted application, aka Bug 17356824.",
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"modified": "2023-12-13T01:22:48.845454Z",
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"lastModifiedDate": "2014-12-16T18:15Z",
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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
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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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