external/anthropic-cybersecurity-skills/skills/testing-ransomware-recovery-procedures/SKILL.md
Test and validate ransomware recovery procedures including backup restore operations, RTO/RPO target verification, recovery sequencing, and clean restore validation to ensure organizational resilience against destructive ransomware attacks.
npx skillsauth add seikaikyo/dash-skills testing-ransomware-recovery-proceduresInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill when:
Do not use for active incident response during a live ransomware attack. Use dedicated IR playbooks instead.
Identify critical systems and their tiered recovery targets:
| Tier | System Type | RTO Target | RPO Target | Example | |------|------------|------------|------------|---------| | Tier 1 | Mission-critical | < 1 hour | < 15 min | Active Directory, core database | | Tier 2 | Business-critical | < 4 hours | < 1 hour | ERP, email, CRM | | Tier 3 | Business-operational | < 24 hours | < 4 hours | File shares, internal apps | | Tier 4 | Non-critical | < 72 hours | < 24 hours | Dev/test, analytics |
# Verify isolated recovery network is segmented
# No routes to production should exist
ip route show | grep -v "192.168.100.0/24" # recovery VLAN only
# Verify backup catalog is accessible
restic snapshots --repo s3:s3.amazonaws.com/backup-bucket --password-file /etc/restic/pw
# Or for Veeam:
# Get-VBRBackup | Where-Object {$_.JobType -eq "Backup"} | Select Name, LastPointCreationTime
For each tiered system, measure the full recovery timeline:
Recovery Timeline Measurement:
T0: Incident declared (simulated ransomware detection)
T1: Recovery team assembled and backup identified
T2: Restore initiated from clean backup
T3: Restore completed, integrity checks passed
T4: Application validated and service restored
Actual RTO = T4 - T0
Actual RPO = T0 - backup_timestamp
# Compare file counts between backup manifest and restored data
find /restored/data -type f | wc -l
# Compare against pre-backup manifest
# Verify database consistency after restore
pg_isready -h localhost -p 5432
psql -c "SELECT count(*) FROM critical_table;" -d restored_db
# Hash verification of critical files
sha256sum /restored/data/critical_config.xml
# Compare against known-good hash from backup manifest
After restore, validate that security controls are re-established:
Recovery Test Report:
System: [Name]
Tier: [1-4]
RTO Target: [target] Actual RTO: [measured] Gap: [delta]
RPO Target: [target] Actual RPO: [measured] Gap: [delta]
Data Integrity: [PASS/FAIL]
Application Validation: [PASS/FAIL]
Security Controls Restored: [PASS/FAIL]
Status: [MEETS TARGET / EXCEEDS TARGET / FAILS TARGET]
Remediation Required: [description if FAILS]
| Term | Definition | |------|-----------| | RTO | Recovery Time Objective: maximum acceptable downtime for a system after a disaster | | RPO | Recovery Point Objective: maximum acceptable data loss measured in time | | WRT | Work Recovery Time: time to verify system integrity after restore completes | | MTD | Maximum Tolerable Downtime: absolute limit before unacceptable business impact | | Clean Restore Point | A backup verified to be free of ransomware artifacts or encryption | | Recovery Sequencing | The order in which interdependent systems must be restored | | Air-Gapped Backup | Backup stored on media physically disconnected from the network |
| Tool | Purpose | |------|---------| | Veeam Backup & Replication | VM and physical server backup and restore | | Commvault | Enterprise data protection and recovery orchestration | | Rubrik | Cloud-native backup with ransomware recovery SLA | | AWS Backup | Centralized backup for AWS services | | Azure Backup | Microsoft cloud backup with immutable vault | | Restic | Open-source encrypted backup tool | | Velero | Kubernetes cluster backup and restore |
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
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