Python implementation of the Packed Executable iDentifier (PEiD)
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Updated
May 15, 2024 - Python
Python implementation of the Packed Executable iDentifier (PEiD)
RPL attacks framework for simulating WSN with a malicious mote based on Contiki
The open-source repository mev.fyi aggregates research on Maximal Extractable Value (MEV). Explore curated academic papers, community contributions, and educational content on MEV and related topics.
Tinyscript tool for sorting and exporting Zotero references based on pyzotero
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
Analysis tool for estimating the likelihood that a binary contains compressed or encrypted bytes
A powerful and automatic awesome list generator leveraging GPT models. Enter your keyword and its description to get a comprehensive list of resources in Markdown format
Packing detection tool for PE files
BibexPy is a Python-based software designed to streamline bibliometric data integration, deduplication, metadata enrichment, and format conversion. It simplifies the preparation of high-quality datasets for advanced analyses by automating traditionally manual and error-prone tasks.
Implementation of the packing detection heuristic from the paper "Packed PE File Detection for Malware Forensics" of Han et al.
Literature Survey Engine, leverages the powerful Semantic Scholar's Recommendation API to provide you with highly relevant research article recommendations based on your curated lists of articles.
🔬 Scientific chatbot that instantly searches arXiv.org papers, transforming an ocean of preprints into clear research insights. Powered by local LLMs from Ollama.
Python tool for calculating inter-rater reliability metrics and generating comprehensive reports for multi-rater datasets. Optionally have an LLM create an interpretation report.
A Python-based experiment built using PsychoPy for studying decision-making, confidence assessment, and response accuracy under varying conditions of visual dot motion coherence.
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