go-yara
Go bindings for YARA, staying as close as sensible to the library's C-API while taking inspiration from the yara-python implementation. On Unix-like systems, libyara version 4.3, corresponding header files, and pkg-config must be installed. Adding go-yara v4 to a project with Go Modules enabled, simply add the proper dependency by importing "github.com/hillu/go-yara/v4" and rebuilding your package. For custom libyara installations, use the PKG_CONFIG_PATH environment variable. Instructions for cross-building go-yara for different operating systems or architectures can be found in README.cross-building.md. On Windows, a GCC-based build environment is required for building go-yara, preferably one that includes pkg-config.
FEATURES
ALTERNATIVES
Intezer is a cloud-based malware analysis platform that detects and classifies malware using genetic code analysis.
UDcide provides an alternative approach to dealing with Android malware by targeting specific behaviors for removal.
Malware sandbox for executing malicious files in an isolated environment with advanced features.
A Go library for manipulating YARA rulesets with the ability to programatically change metadata, rule names, and more.
Boomerang Decompiler is a machine code decompiler supporting various architectures and file formats, with a focus on high-level language output.
Online Java decompiler tool with support for modern Java features.
PINNED
Fabric Platform by BlackStork
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
Wiz
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Adversa AI
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.