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TF-MAL-apk.unidentified_005

📛 Threat Title

Malware family: Unidentified APK 005

Category: Unidentified APK 005 First seen: Last updated: Source: ThreatFox Malwares

Description

ThreatFox malware family `apk.unidentified_005`. Printable name: Unidentified APK 005.

Indicators of Compromise (0)

No indicators of compromise on this threat.

References (1)

Remediations (10)

  • web:arxiv.org

    To conduct the investigation, we begin with dissecting the ML-based Android malware detection pipeline into three phases: APK characterization, feature repre-sentation, and ML modeling. Guided by this taxonomy, we aim to empirically analyze the related literature to explore how current ap-proaches detect Android malware .

  • 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...

  • web:ieeexplore.ieee.org

    This research work aims to build an intelligent detection system of malware designed specifically for android devices. The artificial intelligence and machine learning algorithms are used to enhance the detection and classification process specifically for the Android Application Package Kits ( APKs ) that are then examined and categorized as Malicious or Benign. The machine learning models are ...

  • 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.

  • web:malpedia.caad.fkie.fraunhofer.de

    Details for the Unidentified APK 005 malware family including references, samples and yara signatures.

  • web:thehackernews.com

    Threat actors are using Android Package ( APK ) files with unknown or unsupported compression methods to elude malware analysis. That's according to findings from Zimperium, which found 3,300 artifacts leveraging such compression algorithms in the wild. 71 of the identified samples can be loaded on the operating system without any problems.

  • web:unit42.paloaltonetworks.com

    Our data shows a pattern of APK malware bundled as BadPack files. We discuss how this technique is used to garble malicious Android files, creating challenges for analysts.

  • web:www.cisa.gov

    It highlights technical approaches to uncovering malicious activity and includes mitigation steps according to best practices. The purpose of this report is to enhance incident response among partners and network administrators along with serving as a playbook for incident investigation.

  • 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 ...

  • web:www.sciencedirect.com

    Nowadays, malware writers used advanced techniques like obfuscation, packing, encoding and encryption to hide the malicious activities. Because of these advanced techniques of malware evasion, traditional malware detection system unable to detect new variants of malware .

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