Peepdf is a Python tool designed for PDF analysis, providing security researchers with the ability to explore PDF files for suspicious elements, supporting various filters and encodings, parsing different file versions, object streams, and encrypted files. It also offers functionalities such as decoding, string search, metadata analysis, modification of PDF files, and analysis of Javascript and shellcode.
FEATURES
EXPLORE BY TAGS
SIMILAR TOOLS
Zenduty's platform provides real-time operational health monitoring and incident response orchestration to improve incident response times and build a solid on-call culture.
Stegextract is a Bash script that extracts hidden files and strings from images, supporting PNG, JPG, and GIF formats.
A digital artifact extraction framework for extracting data from volatile memory (RAM) samples, providing visibility into the runtime state of a system.
A library to access and parse Windows XML Event Log (EVTX) format, useful for digital forensics and incident response.
Free software for extracting Microsoft cabinet files, supporting all features and formats of Microsoft cabinet files and Windows CE installation files.
A library for accessing and parsing Windows NT Registry File (REGF) format files, designed for digital forensics and registry analysis applications.
Exterro is a data risk management platform that optimizes e-discovery, digital forensics, and cybersecurity compliance operations.
A library to access the Windows New Technology File System (NTFS) format with read-only support for NTFS versions 3.0 and 3.1.
PINNED

Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.

Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.

DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.