Recog is a framework for identifying products, services, operating systems, and hardware by matching fingerprints against data returned from various network probes. It makes it simple to extract useful information from web server banners, snmp system description fields, and a whole lot more. Recog is open source, please see the LICENSE file for more information.
FEATURES
EXPLORE BY TAGS
SIMILAR TOOLS
Visually inspect regex matches in binary data/text with YARA and regular expressions, displaying matched bytes and surrounding context.
Free software for extracting Microsoft cabinet files, supporting all features and formats of Microsoft cabinet files and Windows CE installation files.
A library to access the Extensible Storage Engine (ESE) Database File (EDB) format used in various Windows applications.
A repository containing material from a talk on sub-domain enumeration techniques
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.
A free, open-source file data recovery software that can recover lost files from hard disks, CD-ROMs, and digital camera memory.
A powerful tool for analyzing and visualizing system activity timelines.
RegRippy is a modern Python 3 alternative to RegRipper for extracting data from Windows registry hives.
PINNED

Mandos
Fractional CISO service that helps B2B companies implement security leadership to win enterprise deals, achieve compliance, and develop strategic security programs.

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.