Friday, May 9, 2025
HomeMalwareMachine learning system to create invisible malwares - gym-malware

Machine learning system to create invisible malwares – gym-malware

Published on

SIEM as a Service

Follow Us on Google News

In the recent DEF CON Meet, technical director of security shop Endgame Hyrum Anderson disclosed a research paper on adapting API frameworks in building a malware that AV engines cannot identify.

The core function of the system is to build a legitimate looking app by making minor changes to the original app that can avoid AV detections. By making minor changes they have deceived the AV Engines and they named as gym-malware.

Andrew said, “All machine learning models have blind spots,”. “Depending on how much knowledge a hacker has they can be convenient to exploit.”

Also Read Alternative Android App Store “CepKutusu.com” Spreading Malware From Every Downloaded App

- Advertisement - Google News

In a span of 15 hours of training, the software ran over 100,000 samples past an unnamed security engine. Around 60% of samples produced can bypass the system security.

Code for OpenAI Gym published in Github by Anderson and their team.

OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms. This makes it possible to write agents that learn to manipulate PE files (e.g., malware) to achieve some objective (e.g., bypass AV) based on a reward provided by taking specific manipulation actions.

Gurubaran
Gurubaran
Gurubaran is a co-founder of Cyber Security News and GBHackers On Security. He has 10+ years of experience as a Security Consultant, Editor, and Analyst in cybersecurity, technology, and communications.

Latest articles

Hackers Exploit Host Header Injection to Breach Web Applications

Cybersecurity researchers have reported a significant rise in web breaches triggered by a lesser-known...

Hackers Exploit Windows Remote Management to Evade Detection in AD Networks

A new wave of cyberattacks is targeting Active Directory (AD) environments by abusing Windows...

Researchers Uncover Remote Code Execution Flaw in macOS – CVE-2024-44236

Security researchers Nikolai Skliarenko and Yazhi Wang of Trend Micro’s Research Team have disclosed...

Apache ActiveMQ Vulnerability Allows Attackers to Induce DoS Condition

Critical vulnerability in Apache ActiveMQ (CVE-2024-XXXX) exposes brokers to denial-of-service (DoS) attacks by allowing...

Resilience at Scale

Why Application Security is Non-Negotiable

The resilience of your digital infrastructure directly impacts your ability to scale. And yet, application security remains a critical weak link for most organizations.

Application Security is no longer just a defensive play—it’s the cornerstone of cyber resilience and sustainable growth. In this webinar, Karthik Krishnamoorthy (CTO of Indusface) and Phani Deepak Akella (VP of Marketing – Indusface), will share how AI-powered application security can help organizations build resilience by

Discussion points


Protecting at internet scale using AI and behavioral-based DDoS & bot mitigation.
Autonomously discovering external assets and remediating vulnerabilities within 72 hours, enabling secure, confident scaling.
Ensuring 100% application availability through platforms architected for failure resilience.
Eliminating silos with real-time correlation between attack surface and active threats for rapid, accurate mitigation

More like this

Russian COLDRIVER Hackers Deploy LOSTKEYS Malware to Steal Sensitive Information

The Google Threat Intelligence Group (GTIG) has uncovered a sophisticated new malware dubbed LOSTKEYS,...

Lampion Banking Malware Uses ClickFix Lures to Steal Banking Credentials

Unit 42 researchers at Palo Alto Networks, a highly targeted malicious campaign orchestrated by...

BFDOOR Malware Targets Organizations to Establish Long-Term Persistence

The BPFDoor malware has emerged as a significant threat targeting domestic and international organizations,...