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Browse 155 yara tools
AI-driven binary code analysis platform for malware detection & intelligence.
Expands a single malware hash into full family visibility via structural analysis.
Turns a single IOC or hash into a full malware campaign investigation view.
AI-powered file analysis platform delivering malware verdicts in natural language.
Continuous, private malware analysis and threat intel platform for enterprises.
Cloud-based bare-metal malware analysis lab for SOC, CERT & CIRT teams.
Deep learning-based malware analysis & threat contextualization platform.
On-premise AI file repository with continuous malware analysis and retrohunting.
On-premises/hybrid EDR with local threat detection, response, and NAC integration.
AI-led threat hunting platform for proactive threat detection and investigation
Email security platform protecting against phishing, malware, and BEC attacks
Malware sandboxing platform for threat analysis and detection in SOCs
Network detection and response platform with IDS, NSM, and threat intel.
SaaS-based NDR platform for threat investigation and Tier 1 workflows
Threat intelligence platform combining Google, Mandiant, and VirusTotal data
CrowdFMS is a CrowdStrike framework that automates malware sample collection from VirusTotal using YARA rule-based notifications and the Private API system.
ConventionEngine is a Yara rule collection that analyzes PE files by examining PDB paths for suspicious keywords, terms, and anomalies that may indicate malicious software.
Embeddable Yara library for Java with support for loading rules and scanning data.
YaraHunter scans container images, running Docker containers, and filesystems using YARA rules to detect malware indicators and signs of compromise.
An IDAPython script that generates YARA rules for basic blocks of the current function in IDA Pro, with automatic masking of relocation bytes and optional validation against file segments.
A repository of freely usable Yara rules for detection systems, with automated error detection workflows.
Binsequencer automatically generates YARA detection rules by analyzing collections of similar malware samples and identifying common x86 instruction sequences across the corpus.
A project providing open-source YARA rules for malware and malicious file detection
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