A Python tool for analyzing PDF files to detect malicious content and perform security research.
peepdf is a Python tool for exploring and analyzing PDF files to identify malicious content and security vulnerabilities. It provides a comprehensive set of features for static analysis, including object inspection, JavaScript and shellcode analysis, and integration with VirusTotal. The tool is designed to help security researchers detect PDF-based exploits and understand document structure.
Security researchers, forensic analysts, and penetration testers who need to inspect PDF files for malicious content or vulnerabilities. It is also useful for developers working on PDF security or threat intelligence.
peepdf consolidates multiple PDF analysis tasks into a single tool, offering an interactive console, support for various encodings and filters, and extensibility through PyV8 and Pylibemu integrations. Its inclusion in distributions like Kali Linux and REMnux highlights its reliability and adoption in the security community.
Powerful Python tool to analyze PDF documents
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Supports all common filters, encodings, object inspection, and logical structure, consolidating multiple tools into one for thorough security checks, as highlighted in the feature list.
Integrates with PyV8 and Pylibemu for JavaScript and shellcode analysis, and checks hashes on VirusTotal, providing layered threat detection capabilities mentioned in the README.
Offers a powerful, colorized console for detailed exploration and modification of PDFs, enabling step-by-step analysis without leaving the tool.
Allows generation of new PDFs, string obfuscation, and creation of malformed documents for testing, useful for security research and exploitation simulations.
Embedded PDFs analysis is not fully implemented, and automatic JavaScript analysis needs improvement, as admitted in the TODO section, limiting thoroughness for complex files.
Advanced features like JavaScript and shellcode analysis require installing PyV8 and Pylibemu, which can be difficult to configure, especially on non-Linux systems, adding overhead.
Lacks a GUI, which might deter less technical users or those preferring visual tools, and the TODO list indicates it's a future addition, not current.
As a Python tool handling large or numerous PDFs, it may be slower compared to compiled alternatives, though this isn't explicitly addressed in the README.