analyzing-ransomware-leak-site-intelligence

by mukul975

analyzing-ransomware-leak-site-intelligence helps monitor ransomware data leak sites, extract victim and group signals, and produce structured threat intelligence for incident response, sector risk review, and adversary tracking.

Stars6.1k

Favorites0

Comments0

AddedMay 9, 2026

CategoryThreat Intelligence

Install Command

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-ransomware-leak-site-intelligence

Curation Score

This skill scores 72/100, which means it is a viable directory listing for users who need ransomware leak-site intelligence workflows, but it still has some adoption friction. The repository provides enough real operational content, references, and script support to justify installation, though users should expect a mostly domain-specific workflow rather than a highly polished turnkey skill.

72/100

Strengths

Clear use case and trigger conditions for incident investigation, detection engineering, and SOC analysis
Substantial workflow content with structured sections, code examples, and a dedicated analysis script
Useful external references and API endpoints for ransomware.live, ransomlook.io, Ransomwatch, and ID Ransomware

Cautions

No install command in SKILL.md, so setup/activation is less explicit than ideal
The visible excerpt suggests some implementation details may rely on external services and Python dependencies, which may limit portability

Security Ransomware Monitoring Incident Response Malware Forensics

Overview

Overview of analyzing-ransomware-leak-site-intelligence skill

What this skill does

The analyzing-ransomware-leak-site-intelligence skill helps you monitor ransomware data leak sites, extract victim and group intelligence, and turn noisy leak-post data into usable threat intelligence. It is most useful when you need the analyzing-ransomware-leak-site-intelligence skill to support incident response, sector risk review, or ongoing adversary tracking.

Best-fit users and jobs

Use this skill if you are a threat intelligence analyst, SOC analyst, incident responder, or security engineer who needs a repeatable way to collect leak-site signals and summarize what they mean. The real job-to-be-done is not just “look at a blog,” but to identify active groups, victim patterns, targeting trends, and changes in ransomware activity.

Why it is worth installing

This skill is more specific than a generic prompt because it points you toward structured sources, consistent fields, and a workflow for comparing recent posts over time. It is a good fit for analyzing-ransomware-leak-site-intelligence for Threat Intelligence when you want fast triage plus enough structure to brief others.

How to Use analyzing-ransomware-leak-site-intelligence skill

Install and review the support files

Use the analyzing-ransomware-leak-site-intelligence install step in your environment, then read SKILL.md first and immediately check references/api-reference.md and scripts/agent.py. The repo is light on extra folders, so the main value comes from understanding the API examples and the scripted analysis flow rather than hunting for many supporting assets.

Turn a rough goal into a usable prompt

The analyzing-ransomware-leak-site-intelligence usage pattern works best when you specify the outcome, time window, and output format. Good inputs mention the group, sector, region, or trend you want analyzed, plus whether you need a brief, a table, or a threat-intel note. For example: “Analyze recent leak-site posts for manufacturing victims in EMEA, identify likely active groups, and summarize observed tactics plus confidence.”

Suggested workflow for higher-signal output

Start with recent victims, then group details, then cross-check patterns across sources. A practical analyzing-ransomware-leak-site-intelligence guide is: gather recent posts, normalize victim names and dates, map aliases to group families, and then draft findings around activity level, sector concentration, and operational changes. If you are comparing time periods, ask for deltas, not just a static summary.

What to read first in the repo

Focus on references/api-reference.md for source endpoints and expected response shapes, then inspect scripts/agent.py to understand what fields the analysis expects and how it handles common group aliases. If you are adapting the skill, those two files tell you more than a quick skim of the top-level markdown.

analyzing-ransomware-leak-site-intelligence skill FAQ

Is this only for threat intelligence teams?

No. The skill is useful for SOC, IR, vulnerability management, and security leadership when leak-site activity affects decisions. It is strongest when the goal is actionable intelligence rather than raw research.

Do I need to browse Tor sites manually?

Not necessarily. The repository shows API-backed and scripted approaches for pulling leak-site intelligence, which can reduce manual browsing. That said, you still need to validate source quality and avoid treating every post as confirmed compromise.

How is this different from a normal prompt?

A normal prompt may produce a generic ransomware summary. The analyzing-ransomware-leak-site-intelligence skill gives you a more repeatable path: source selection, alias handling, structured fields, and a workflow for comparing victim and group activity across time.

Is it beginner-friendly?

Yes, if you can read JSON-like outputs and follow a simple analysis sequence. It is less suitable if you want a fully automated pipeline without any source review or if your organization cannot work with external intelligence data.

How to Improve analyzing-ransomware-leak-site-intelligence skill

Provide better source constraints

The biggest quality gain comes from narrowing the target. Instead of “analyze ransomware,” specify the group, sector, geography, and time window. For example: “Focus on Akira posts from the last 30 days affecting healthcare in North America, and separate confirmed victims from suspected matches.”

Ask for the fields you actually need

The skill performs better when you request concrete outputs such as victim name, post date, group alias, sector, country, and confidence. If you need to brief executives, ask for a short narrative plus a ranked list of trends; if you need operations support, ask for a table and indicators of activity change.

Watch for common failure modes

Leak-site data is messy: aliases vary, victim names may be duplicated, and post dates can lag discovery dates. Improve analyzing-ransomware-leak-site-intelligence usage by telling the model to deduplicate, separate observed from inferred facts, and call out uncertainty instead of blending everything into one claim.

Iterate from first pass to decision-ready output

After the first output, ask for a second pass that compares findings against prior weeks, highlights new groups or sectors, and flags what changed materially. That is usually the fastest way to turn the analyzing-ransomware-leak-site-intelligence skill from a data summary into a useful threat-intel product.

Ratings & Reviews

No ratings yet

Share your review

0/10000

Latest reviews

Saving...

more skill

evaluating-threat-intelligence-platforms

by mukul975

evaluating-threat-intelligence-platforms helps you compare TIP products by feed ingestion, STIX/TAXII support, automation, analyst workflow, integrations, and total cost of ownership. Use this evaluating-threat-intelligence-platforms guide for procurement, migration, or maturity planning, including evaluating-threat-intelligence-platforms for Threat Modeling when platform choice affects traceability and evidence sharing.

Threat Modeling

Favorites 0GitHub 0

detecting-privilege-escalation-attempts

by mukul975

detecting-privilege-escalation-attempts helps hunt privilege escalation on Windows and Linux, including token manipulation, UAC bypass, unquoted service paths, kernel exploits, and sudo/doas abuse. Built for threat hunting teams that need a practical workflow, reference queries, and helper scripts.

Threat Hunting

Favorites 0GitHub 0

detecting-insider-threat-behaviors

by mukul975

detecting-insider-threat-behaviors helps analysts hunt insider-risk signals like unusual data access, off-hours activity, mass downloads, privilege abuse, and resignation-correlated theft. Use this detecting-insider-threat-behaviors guide for threat hunting, UEBA-style triage, and threat modeling with workflow templates, SIEM query examples, and risk weights.

Threat Modeling

Favorites 0GitHub 0

detecting-credential-dumping-techniques

by mukul975

The detecting-credential-dumping-techniques skill helps you detect LSASS access, SAM export, NTDS.dit theft, and comsvcs.dll MiniDump abuse using Sysmon Event ID 10, Windows Security logs, and SIEM correlation rules. It is built for threat hunting, detection engineering, and Security Audit workflows.

Security Audit

Favorites 0GitHub 0

detecting-command-and-control-over-dns

by mukul975

detecting-command-and-control-over-dns is a cybersecurity skill for spotting C2 over DNS, including tunneling, beaconing, DGA domains, and TXT/CNAME abuse. It supports SOC analysts, threat hunters, and security audits with entropy checks, passive DNS correlation, and Zeek or Suricata-style detection workflows.

Security Audit

Favorites 0GitHub 0

correlating-security-events-in-qradar

by mukul975

correlating-security-events-in-qradar helps SOC and detection teams correlate IBM QRadar offenses with AQL, offense context, custom rules, and reference data. Use this guide to investigate incidents, reduce false positives, and build stronger correlation logic for Incident Response.

Incident Response

Favorites 0GitHub 0

auditing-tls-certificate-transparency-logs

by mukul975

The auditing-tls-certificate-transparency-logs skill helps security teams monitor Certificate Transparency logs for owned domains, detect unauthorized certificate issuance, discover certificate-exposed subdomains, and track suspicious CA activity with a repeatable Security Audit workflow.

Security Audit

Favorites 0GitHub 0

analyzing-windows-event-logs-in-splunk

by mukul975

The analyzing-windows-event-logs-in-splunk skill helps SOC analysts investigate Windows Security, System, and Sysmon logs in Splunk for authentication attacks, privilege escalation, persistence, and lateral movement. Use it for incident triage, detection engineering, and timeline analysis with mapped SPL patterns and event ID guidance.

Incident Triage

Favorites 0GitHub 0

analyzing-windows-amcache-artifacts

by mukul975

The analyzing-windows-amcache-artifacts skill parses Windows Amcache.hve data to recover evidence of program execution, installed software, device activity, and driver loading for DFIR and security audit workflows. It uses AmcacheParser and regipy-based guidance to support artifact extraction, SHA-1 correlation, and timeline review.

Security Audit

Favorites 0GitHub 0

analyzing-powershell-empire-artifacts

by mukul975

analyzing-powershell-empire-artifacts skill helps Security Audit teams detect PowerShell Empire artifacts in Windows logs using Script Block Logging, Base64 launcher patterns, stager IOCs, module signatures, and detection references for triage and rule writing.

Security Audit

Favorites 0GitHub 0

analyzing-network-traffic-of-malware

by mukul975

analyzing-network-traffic-of-malware helps inspect PCAPs and telemetry from sandbox runs or incident response to find C2, exfiltration, payload downloads, DNS tunneling, and detection ideas. It is a practical analyzing-network-traffic-of-malware guide for Security Audit and malware triage.

Security Audit

Favorites 0GitHub 0

analyzing-indicators-of-compromise

by mukul975

Analyzing-indicators-of-compromise helps triage IOCs such as IPs, domains, URLs, file hashes, and email artifacts. It supports threat-intelligence workflows for enrichment, confidence scoring, and block/monitor/whitelist decisions using source-backed checks and clear analyst context.

Threat Intelligence

Favorites 0GitHub 0

analyzing-cyber-kill-chain

by mukul975

analyzing-cyber-kill-chain helps map intrusion activity to the Lockheed Martin Cyber Kill Chain to show what happened, where defenses held or failed, and which controls could have stopped the attack earlier. It is useful for incident response, detection-gap analysis, and analyzing-cyber-kill-chain for Threat Intelligence.

Threat Intelligence

Favorites 0GitHub 0

collecting-indicators-of-compromise

by mukul975

collecting-indicators-of-compromise skill for extracting, enriching, scoring, and exporting IOCs from incident evidence. Use it for Security Audit workflows, threat intel sharing, and STIX 2.1 output when you need a practical collecting-indicators-of-compromise guide instead of a generic incident-response prompt.

Security Audit

Favorites 0GitHub 0

detecting-business-email-compromise

by mukul975

The detecting-business-email-compromise skill helps analysts, SOC teams, and incident responders identify BEC attempts using email-header checks, social-engineering clues, detection logic, and response-oriented workflows. Use it as a practical detecting-business-email-compromise guide for triage, validation, and containment.

Incident Response

Favorites 0GitHub 6.1k

analyzing-command-and-control-communication

by mukul975

analyzing-command-and-control-communication helps analyze malware C2 traffic to identify beaconing, decode commands, map infrastructure, and support Security Audit, threat hunting, and malware triage with PCAP-based evidence and practical workflow guidance.

Security Audit

Favorites 0GitHub 0