Urls

Overview

Urls is a malware analysis tool that appears across ransomware defense workflows in this knowledge base. It is referenced as part of higher-level security analysis, investigation, monitoring, or validation activity rather than as an end in itself.

What It Is

Urls is best understood as a ransomware-defense tool in this knowledge base. Its role is conceptual and system-facing rather than procedural: it gives analysts or defenders a structured way to examine evidence, model system behavior, or reason about security state.

How It Works

Urls works by turning technical inputs into more interpretable outputs at the system level. Across the source skills, it appears as part of larger analysis, investigation, monitoring, or validation loops rather than as a standalone end state.

Core Concepts

• ransomware
• detection
• canary files
• honeytokens
• deception
• file integrity
• ransomware defense
• malware
• IOC extraction
• threat intelligence
• indicators
• malware analysis

Typical Workflow

• ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Use names that sort FIRST and LAST alphabetically in each directory
• Ransomware typically enumerates directories A-Z or Z-A
• Examples: _AAAA_budget_2024.docx, ~zzzz_report_final.xlsx
• Desktop, Documents, Downloads on each endpoint
• Department-specific shares (Finance, HR, Legal)

Use Cases

• Setting up early-warning detection for ransomware on file servers or endpoints
• Supplementing EDR/AV with a deception-based detection layer that catches unknown ransomware variants
• Creating high-fidelity ransomware alerts that have very low false-positive rates (legitimate users have no reason to touch decoy files)
• Testing ransomware response procedures by validating that canary file modifications trigger the expected alerting pipeline
• Protecting high-value file shares (finance, HR, legal) with tripwire files that indicate unauthorized encryption activity
• A malware analysis (static or dynamic) is complete and actionable indicators need to be extracted for defense teams
• Building blocklists for firewalls, proxies, and DNS sinkholes from analyzed samples
• Creating YARA rules, Snort/Suricata signatures, or SIEM detection content from malware artifacts
• Contributing to threat intelligence sharing platforms (MISP, OTX, ThreatConnect)
• Tracking malware campaigns by correlating IOCs across multiple samples

Limitations

• Output still depends on context, data quality, and surrounding analysis.
• The tool should be interpreted as part of a broader workflow, not as a complete answer by itself.
• Capabilities and visibility vary depending on environment, integrations, and available inputs.

Related Tools

• Elastic Endpoint, And DNS Tokens, And MacOS, And Ransomware Extension Detection, And Transforming Data Useful For Deobfuscating Encoded IOCs, And YARA Rules From Text, Canarytokens, Canarytokens.org

Sources

• deploying-decoy-files-for-ransomware-detection
• extracting-iocs-from-malware-samples
• implementing-honeypot-for-ransomware-detection