Netpetya Antivirus Technical Development Timeline

March 2016: Malware Analysis

Analyzed Petya malware using Python-based tools like Volatility and YARA, in collaboration with Kaspersky, to identify encryption mechanisms.

                            rule PetyaDetection {
                                strings:
                                    $s1 = "Petya" ascii
                                    $s2 = "ransomware" ascii
                                condition:
                                    $s1 or $s2
                            }
                        

June 2017: NotPetya Vulnerability Study

Studied NotPetya's EternalBlue exploit using C++ simulations, partnered with Symantec to develop detection algorithms.

                            #include 
                            void checkSMBv1() {
                                // Simulate SMBv1 vulnerability check
                                printf("Scanning for SMBv1 vulnerabilities...\n");
                            }
                        

January 2018: Core Engine Development

Developed antivirus core engine in C++, leveraging Windows API for real-time file monitoring, with input from McAfee.

                            #include 
                            void monitorFileSystem() {
                                HANDLE hDir = CreateFile("C:\\", FILE_LIST_DIRECTORY, ...);
                                // Set up file system monitoring
                            }
                        

July 2019: Rust-Based Prototype

Built a prototype using Rust for memory-safe heuristic detection of NotPetya's encryption patterns, validated with CrowdStrike.

                            fn detect_encryption(data: &[u8]) -> bool {
                                // Heuristic check for encryption patterns
                                data.iter().any(|&b| b == 0xFF)
                            }
                        

April 2020: Network Packet Analysis

Integrated network monitoring using Python and Scapy for packet analysis, with insights from Palo Alto Networks.

                            from scapy.all import *
                            def analyze_packet(packet):
                                if packet.haslayer(TCP):
                                    // Analyze TCP packets for malicious payloads
                                    pass
                        

November 2021: Machine Learning Beta

Implemented ML models with TensorFlow for behavioral analysis, tested with FireEye for performance optimization.

                            import tensorflow as tf
                            model = tf.keras.Sequential([
                                tf.keras.layers.Dense(64, activation='relu'),
                                tf.keras.layers.Dense(1, activation='sigmoid')
                            ])
                        

August 2022: Version 1.0 Release

Released Netpetya Antivirus 1.0, combining C++ and Python for real-time scanning and ransomware decryption.

March 2023: AI Enhancements

Upgraded to Version 2.0 with PyTorch-based AI for predictive threat detection, refined with Sophos.

                            import torch
                            model = torch.nn.Sequential(
                                torch.nn.Linear(128, 64),
                                torch.nn.ReLU(),
                                torch.nn.Linear(64, 1)
                            )
                        

October 2024: Cloud Integration

Added cloud-based updates using Node.js and MongoDB for real-time threat intelligence, collaborated with Trend Micro.

                            const mongoose = require('mongoose');
                            const threatSchema = new mongoose.Schema({
                                signature: String,
                                timestamp: Date
                            });
                        

August 2025: Continuous Improvement

Ongoing enhancements with Rust and Python, focusing on zero-day exploit detection, with support from Check Point Software.