Duy Phuc Pham

Threat analyst and malware researcher, PhD.

My main interests: malware reverse-engineering, intelligence threats hunting, side-channel information with deep learning analysis.


  • 1st winner of Airbus security challenge, CYBER IN Toulouse 2021.
  • 1st prize award of SILM Security of Software & Hardware Interfaces CTF 2019
  • Mandiant’s Fire Eye- Advanced Reverse Engineering 1,2,3,5,6,9 : Winning award. 2022, 2019, 2018, 2016, 2015, 2014
  • Batterii: Web penetration testing - Bug Bounty award. Oct. 2016
  • BlackHat Europe Conference: Student Scholarship. Aug. 2016
  • KTH Royal Institute of Technology, Sweden: EIT Digital’s summer school Future Cloud. Jul. 2016
  • EIT ICT School: Excellent nomination scholarship of €30.000 in Security&Privacy. Apr. 2015
  • BKAV’s Whitehat contest 08: 1st prize award on behalf of BabyPhD team. Feb. 2015
  • Hanoi University of Science and Technology Young Scientific Research : 1st prize award. Jul. 2013

I am/was a member of the following:

  • USENIX Security 2022 Artifact Evaluation Committee 2022
  • CHES Artifact Evaluation PC 2021
  • International Symposium on Information and Communication Technology PC 2022
  • Quarterly security livestreaming roundtable of BabyTalk from 2020- 3 2 1


Nov 12, 2023 My talk record: The Wolf in Sheep’s Clothing: How Cybercriminals Leverage OneNote for Stealthy Malware Delivery at code.talks Hamburg 2023 has been published.
Jun 23, 2022 Our paper “ULTRA: Ultimate Rootkit Detection over the Air” has been accepted in RAID 2022 :sparkles: :smile:.
Aug 28, 2021 Our paper “Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification” has been accepted in ACSAC 2021.

selected publications

  1. ULTRA: Ultimate Rootkit Detection over the Air
    Pham, Duy-Phuc, Marion, Damien, and Heuser, Annelie
    In 25th International Symposium on Research in Attacks, Intrusions and Defenses 2022
  2. Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification
    Pham, Duy-Phuc, Marion, Damien, Mastio, Mathieu, and Heuser, Annelie
    In Annual Computer Security Applications Conference 2021
  3. Mac-A-Mal: macOS malware analysis framework resistant to anti evasion techniques
    Pham, Duy-Phuc, Vu, Duc Ly, and Massacci, Fabio
    J. Comput. Virol. Hacking Tech. 2019