guelfoweb/peframePEframe è uno strumento open source per eseguire analisi statiche su malware Portable Executable e documenti MS Office dannosi.
peframe è uno strumento open source per eseguire analisi statiche su malware Portable Executable <http://en.wikipedia.org/wiki/Portable_Executable>_ e file sospetti generici. Può aiutare i ricercatori di malware a rilevare packer, xor, firma digitale, mutex, anti debug, anti macchina virtuale, sezioni e funzioni sospette, macro e molte altre informazioni sui file sospetti.
Download
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sudo apt install git git clone https://github.com/guelfoweb/peframe.git cd peframe
Script di installazione per Ubuntu
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sudo bash install.sh
Installazione (prerequisiti richiesti)
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sudo python3 setup.py install
Prerequisiti
I seguenti prerequisiti devono essere installati sul sistema prima di poter installare e utilizzare peframe.
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python >= 3.6.6
pyton3-pip
libssl-dev
swig
peframe -h
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peframe filename Analisi con output breve
peframe -i filename Modalità interattiva
peframe -j filename Analisi con output completo in formato JSON
peframe -x STRING filename Ricerca stringa xored
peframe -s filename Output delle stringhe
Nota
Puoi modificare il file "config-peframe.json" nella cartella "config" per configurare la chiave API di virustotal. Dopo l'installazione puoi usare "peframe -h" per trovare il percorso di api_config.
Analisi di documenti MS Office (macro) con peframe 6.0.1
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Analisi di file PE con peframe 6.0.1
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A Longitudinal Analysis of Brazilian Financial Malware <https://www.lasca.ic.unicamp.br/paulo/papers/2020-TOPS-marcus.botacin-brazilian.bankers.pdf>_ (Federal University of Paraná, Marcus Botacin, Hojjat Aghakhani, Stefano Ortolani, Christopher Kruegel, Giovanni Vigna, Daniela Oliveira, Paulo Lício de Geus, André Grégio 2020)Building a smart and automated tool for packed malware detections using machine learning <https://dial.uclouvain.be/memoire/ucl/en/object/thesis%3A25193>_ (Ecole polytechnique de Louvain, Université catholique de Louvain, Minet, Jeremy; Roussieau, Julian 2020)Revealing Packed Malware <https://www.researchgate.net/publication/220496734_Revealing_Packed_Malware>_ (Department of Electrical and Computer Engineering, Nirwan Ansari, New Jersey Institute of Technology - NJIT)Critical Infrastructures Security: Improving Defense Against Novel Malware and Advanced Persistent Threats (PDF) <https://iris.uniroma1.it/retrieve/handle/11573/1362189/1359415/Tesi_dottorato_Laurenza.pdf>_ (Department of Computer, Control, and Management Engineering Antonio Ruberti, Sapienza – University of Rome)Anatomy on Malware Distribution Networks (PDF) <https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9057639>_ (Department of Intelligent Systems Engineering, Cheju Halla University, Jeju 63092, South Korea)Questo strumento è attualmente mantenuto da Gianni 'guelfoweb' Amato <http://guelfoweb.com/>, che può essere contattato all'indirizzo [email protected] o su Twitter @guelfoweb <http://twitter.com/guelfoweb>. Suggerimenti e critiche sono benvenuti.
Intel Owl 0.4.0 <https://github.com/certego/IntelOwl/releases/tag/0.4.0>Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network <https://www.groundai.com/project/integration-of-static-and-dynamic-analysis-for-malware-family-classification-with-composite-neural-network/>_ (Yao Saint, Yen Institute of Information Science, Academia Sinica, Taiwan)Machine Learning Aided Static Malware Analysis: A Survey and Tutorial <https://www.researchgate.net/publication/324702503_Machine_Learning_Aided_Static_Malware_Analysis_A_Survey_and_Tutorial>_ (Sergii Banin, Andrii Shalaginov, Ali Dehghantanha, Katrin Franke, Norway)Multinomial malware classification, research of the Department of Information Security and Communication Technology (NTNU) <https://www.sciencedirect.com/science/article/pii/S1742287618301956>_ (Sergii Banin and Geir Olav Dyrkolbotn, Norway)SANS DFIR Poster 2016 <http://digital-forensics.sans.org/media/Poster_SIFT_REMnux_2016_FINAL.pdf>_ (PEframe è stato elencato tra i toolkit REMnux)Tools for Analyzing Static Properties of Suspicious Files on Windows <http://digital-forensics.sans.org/blog/2014/03/04/tools-for-analyzing-static-properties-of-suspicious-files-on-windows>_ (SANS Digital Forensics and Incident Response, Lenny Zeltser).Automated Static and Dynamic Analysis of Malware <http://www.cyberdefensemagazine.com/newsletters/august-2013/index.html#p=26>_ (Cyber Defence Magazine, Andrew Browne, Director Malware Lab Lavasoft).Suspicious File Analysis with PEframe <https://eforensicsmag.com/download/malware-analysis/>_ (eForensics Magazine, Chintan Gurjar)CERT FR Security Bulletin <https://www.cert.ssi.gouv.fr/actualite/CERTFR-2014-ACT-030/>_ (PEframe è stato menzionato nel bollettino di sicurezza CERTFR-2014-ACT-030)Infosec CERT-PA Malware Analysis <https://infosec.cert-pa.it/analyze/submission.html>_ (PEframe è utilizzato nel motore di analisi malware del progetto Infosec)