De Archivos Corruptos [extra Quality]: Generador

for _ in range(num_corruptions): offset = random.randint(0, file_size - 1) # Replace byte with random value from 0x00 to 0xFF data[offset] = random.randint(0, 255)

#!/usr/bin/env python3 """ Corrupt File Generator - Ethical Testing Tool Usage: python corrupt.py <input_file> <corruption_percent> <output_file> """ import sys import random import os

| Threat | Description | |--------|-------------| | | Corrupting critical system files (e.g., bootloaders, registry hives) renders a machine inoperable. | | Sabotage of Backups | Corrupting backup archives while leaving metadata intact can go unnoticed until restoration is attempted. | | Evading Hashing | Slightly corrupting a known malware sample changes its hash, bypassing simple blocklists. | | Forensic Anti-Analysis | Corrupting file headers in disk images complicates automated investigation. | generador de archivos corruptos

with open(input_path, 'rb') as f: data = bytearray(f.read())

| Tool Name | Platform | Key Feature | Primary Use | |-----------|----------|-------------|--------------| | | Web/Windows | Simple slider for corruption % | Quick testing for non-developers | | Radamsa | Linux/macOS | Mutation-based fuzzer, format-aware | Security research, protocol fuzzing | | JPEGsnoop (modded) | Cross | Corrupts quantization tables | Forensic testing, anti-forensics | | FileFucker (ethical tool) | Python CLI | Byte-level insertion/deletion | Red team exercises | | FuzzDB | Library | Pre-built corrupt patterns | Web app pentesting | Note: Names like "FileFucker" are actual ethical tools; their provocative naming does not imply malicious intent. 5. Proof-of-Concept Implementation Below is a minimalist Python 3 generator that produces corrupted copies of any input file. It uses random byte overwriting at a user-defined intensity. for _ in range(num_corruptions): offset = random

file_size = len(data) num_corruptions = int(file_size * corruption_ratio)

| Algorithm | Description | Typical Effect | |-----------|-------------|----------------| | | Replaces random bytes with pseudo-random values (0x00–0xFF). | Visual artifacts, missing sections, CRC errors. | | Truncation | Deletes a specified number of bytes from the beginning, middle, or end. | Incomplete headers → file type detection fails. | | Bit Flipping | Inverts bits at specific offsets (e.g., XOR with 0xFF). | Subtle corruption, often undetected by checksums. | | Chunk Shuffling | Rearranges data blocks without altering total size. | Logic errors, broken references, infinite loops in parsers. | | Header Corruption | Specifically targets magic bytes (e.g., %PDF or FF D8 FF ). | Immediate rejection by file command or OS. | 4. Review of Existing Generators Several tools exist, ranging from simple scripts to advanced fuzzers: | | Forensic Anti-Analysis | Corrupting file headers

def corrupt_file(input_path, output_path, corruption_ratio): if not 0.0 <= corruption_ratio <= 1.0: raise ValueError("Corruption ratio must be between 0 and 1")