TF-MAL-apk.unidentified_004
📛 Threat Title
Malware family: Unidentified APK 004
Description
ThreatFox malware family `apk.unidentified_004`. Printable name: Unidentified APK 004.
Indicators of Compromise (0)
No indicators of compromise on this threat.
References (1)
- ThreatFox: IOCs for this family ThreatFox Malwares
Remediations (10)
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web:dl.acm.org
In this article, we introduce an innovative meta -learning approach for m ulti- family A ndroid m alware c lassification named Meta-MAMC, which uses meta-learning technology to learn meta-knowledge (i.e., the similarities and differences among different malware families) of few- family samples and combines new sampling algorithms to solve the ...
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web:github.com
DeepMalDetect Android malware detection framework using system call sequence analysis. Implements multiple ML approaches (N-grams with Random Forest, GNNs, RNNs, Transformers) to identify malicious...
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web:link.springer.com
This research presents a hybrid malware detection approach that integrates static and dynamic analysis with AI-based classification to improve detection accuracy and system resilience. Key features are extracted from APK and DLL files to train machine learning models capable of distinguishing malicious files with greater precision.
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web:malpedia.caad.fkie.fraunhofer.de
References 2020-02-16 ⋅ Check Point Research ⋅ Check Point Research Hamas Android Malware On IDF Soldiers-This is How it Happened Unidentified APK 004
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web:medium.com
Android malware analysis is a critical aspect of cybersecurity focused on understanding, identifying, and mitigating malicious software specifically designed for Android operating systems.
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web:www.breachsense.com
Learn how to respond to malware incidents that steal credentials and session tokens. Discover how to remediate beyond device cleanup with this 7-step playbook.
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web:www.cisa.gov
This joint advisory is the result of a collaborative research effort by the cybersecurity authorities of five nations: Australia, Canada, New Zealand, the United Kingdom, and the United States.1 It highlights technical approaches to uncovering malicious activity and includes mitigation steps according to best practices.
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web:www.mdpi.com
With the popularity of Android, malware detection and family classification have also become a research focus. Many excellent methods have been proposed by previous authors, but static and dynamic analyses inevitably require complex processes. A hybrid analysis method for detecting Android malware and classifying malware families is presented in this paper, and is partially optimized for ...
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web:www.ncsc.gov.uk
Malware attacks, in particular ransomware attacks, can be devastating for organisations because computer systems are no longer available to use, and in some cases data may never be recovered.
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web:www.sciencedirect.com
The primary objectives of the Android malware classification framework are twofold: determining if a given APK constitutes benign software or malware — a binary-classification problem, and identifying the specific family to which a malicious APK pertains - a multi-classification problem.
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