building-soc-playbook-for-ransomware skill
'Builds a structured SOC incident response playbook for ransomware attacks
Is the building-soc-playbook-for-ransomware skill safe?
Clean: nothing in its files matched our rules. We read 4 files in the folder on 2026-09-28.
No findings.
Install the building-soc-playbook-for-ransomware skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git /tmp/Anthropic-Cybersecurity-Skills mkdir -p ~/.claude/skills cp -r /tmp/Anthropic-Cybersecurity-Skills/skills/building-soc-playbook-for-ransomware ~/.claude/skills/building-soc-playbook-for-ransomware
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Building SOC Playbook for Ransomware
When to Use
Use this skill when:
- SOC teams need a standardized ransomware response playbook for Tier 1-3 analysts
- An organization lacks documented procedures for ransomware containment and recovery
- Tabletop exercises reveal gaps in ransomware response coordination
- Compliance requirements (NIST CSF, ISO 27001) mandate documented incident playbooks
Do not use during an active ransomware incident as the sole guide — have pre-built playbooks tested and rehearsed before incidents occur.
Prerequisites
- SIEM platform (Splunk ES, Elastic Security, or Sentinel) with endpoint and network data
- EDR solution (CrowdStrike, SentinelOne, or Microsoft Defender for Endpoint) with network isolation capability
- Backup infrastructure with tested recovery procedures and offline/immutable backups
- Communication plan with legal, executive leadership, and external IR retainer contacts
- MITRE ATT&CK knowledge for ransomware technique chains
Workflow
Step 1: Define Detection Triggers
Create SIEM detection rules for early ransomware indicators:
Mass File Encryption Detection (Splunk):
index=sysmon EventCode=11
| bin _time span=1m
| stats dc(TargetFilename) AS unique_files, values(TargetFilename) AS sample_files by Computer, Image, _time
| where unique_files > 100
| eval suspicious_extensions = if(match(mvjoin(sample_files, ","), "\.(encrypted|locked|crypt|enc|ransom)"), "YES", "NO")
| where suspicious_extensions="YES" OR unique_files > 500
| sort - unique_filesShadow Copy Deletion (T1490):
index=wineventlog sourcetype="WinEventLog:Security" OR index=sysmon EventCode=1
(CommandLine="*vssadmin*delete*shadows*" OR CommandLine="*wmic*shadowcopy*delete*"
OR CommandLine="*bcdedit*/set*recoveryenabled*no*" OR CommandLine="*wbadmin*delete*catalog*")
| table _time, Computer, User, ParentImage, Image, CommandLineRansomware Note File Creation:
index=sysmon EventCode=11
TargetFilename IN ("*README*.txt", "*DECRYPT*.txt", "*RANSOM*.txt", "*RECOVER*.html", "*HOW_TO*.txt")
| stats count by Computer, Image, TargetFilename
| where count > 5Elastic Security EQL variant:
sequence by host.name with maxspan=2m
[process where event.type == "start" and
process.args : ("*vssadmin*", "*delete*", "*shadows*")]
[file where event.type == "creation" and
file.name : ("*README*DECRYPT*", "*RANSOM*", "*HOW_TO_RECOVER*")]Step 2: Build Triage Decision Tree
RANSOMWARE ALERT TRIAGE
│
├── Is encryption actively occurring?
│ ├── YES → IMMEDIATE: Isolate host from network (Step 3)
│ │ Do NOT power off (preserve memory for forensics)
│ └── NO → Is this a pre-encryption indicator?
│ ├── Shadow copy deletion → HIGH PRIORITY: Isolate and investigate
│ ├── Known ransomware hash → HIGH PRIORITY: Block hash, scan enterprise
│ └── Suspicious process behavior → MEDIUM: Investigate, prepare isolation
│
├── How many hosts affected?
│ ├── Single host → Contained incident, follow host isolation procedure
│ ├── Multiple hosts (2-10) → Escalate to Tier 2, begin enterprise-wide scan
│ └── Enterprise-wide (>10) → Activate full IR team, engage external retainer
│
└── Is data exfiltration confirmed?
├── YES → Double extortion scenario, engage legal for breach notification
└── NO/UNKNOWN → Check for Cobalt Strike/C2 beacons, review outbound transfersStep 3: Containment Procedures
Network Isolation via EDR (CrowdStrike Falcon):
# Isolate host using CrowdStrike Falcon API
curl -X POST "https://api.crowdstrike.com/devices/entities/devices-actions/v2?action_name=contain" \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{"ids": ["device_id_here"]}'Network Isolation via Microsoft Defender for Endpoint:
# Isolate machine via MDE API
$headers = @{Authorization = "Bearer $token"}
$body = @{Comment = "Ransomware containment - IR-2024-0500"; IsolationType = "Full"} | ConvertTo-Json
Invoke-RestMethod -Uri "https://api.securitycenter.microsoft.com/api/machines/$machineId/isolate" `
-Method Post -Headers $headers -Body $body -ContentType "application/json"Firewall Emergency Rules:
# Palo Alto — Block SMB lateral spread
set rulebase security rules RansomwareContainment from Trust to Trust
set rulebase security rules RansomwareContainment application ms-ds-smb
set rulebase security rules RansomwareContainment action deny
set rulebase security rules RansomwareContainment disabled no
commitActive Directory Emergency Actions:
# Disable compromised account
Disable-ADAccount -Identity "compromised_user"
# Reset Kerberos TGT (if domain admin compromised)
# WARNING: This resets krbtgt and requires two resets 12+ hours apart
Reset-KrbtgtKeys -Server "DC-PRIMARY" -Force
# Block lateral movement by disabling remote services
Set-Service -Name "RemoteRegistry" -StartupType Disabled -Status StoppedStep 4: Evidence Collection and Preservation
Collect forensic artifacts before remediation:
# Capture running processes and network connections
Get-Process | Export-Csv "C:\IR\processes_$(hostname).csv"
Get-NetTCPConnection | Export-Csv "C:\IR\netstat_$(hostname).csv"
# Capture memory dump (if host still running)
winpmem_mini_x64.exe C:\IR\memory_$(hostname).raw
# Collect ransomware artifacts
Copy-Item "C:\Users\*\Desktop\*README*" "C:\IR\ransom_notes\" -Recurse
Copy-Item "C:\Users\*\Desktop\*.encrypted" "C:\IR\encrypted_samples\" -Force
# Capture event logs
wevtutil epl Security "C:\IR\Security_$(hostname).evtx"
wevtutil epl System "C:\IR\System_$(hostname).evtx"
wevtutil epl "Microsoft-Windows-Sysmon/Operational" "C:\IR\Sysmon_$(hostname).evtx"Step 5: Eradication and Recovery
Identify ransomware variant:
- Upload encrypted sample and ransom note to ID Ransomware (https://id-ransomware.malwarehunterteam.com/)
- Check No More Ransom Project (https://www.nomoreransom.org/) for available decryptors
- Search for ransomware family IOCs in MalwareBazaar
Enterprise-wide IOC scan in Splunk:
index=sysmon (EventCode=1 OR EventCode=11 OR EventCode=3)
(TargetFilename="*ransomware_binary_name*" OR sha256="KNOWN_HASH"
OR DestinationIp="C2_IP_ADDRESS" OR CommandLine="*malicious_command*")
| stats count by Computer, EventCode, Image, CommandLine
| sort - countRecovery from backups:
- Verify backup integrity (offline/immutable backups not affected)
- Rebuild affected systems from known-good images
- Restore data from last clean backup
- Validate restored systems before reconnecting to network
- Monitor restored systems for 72 hours for reinfection
Step 6: Post-Incident Documentation
Structure the playbook conclusion with lessons learned:
POST-INCIDENT REVIEW TEMPLATE
1. Timeline of events (detection to full recovery)
2. Initial access vector identification
3. Dwell time analysis (time from initial compromise to encryption)
4. Detection gaps identified
5. Response effectiveness metrics (MTTD, MTTC, MTTR)
6. Playbook improvements recommended
7. New detection rules deployed
8. Backup and recovery procedure updatesKey Concepts
Tools & Systems
- CrowdStrike Falcon / SentinelOne: EDR platforms with network isolation, process kill, and threat hunting capabilities
- Splunk ES / Elastic Security: SIEM platforms for detection rule deployment and enterprise-wide IOC scanning
- ID Ransomware: Online service identifying ransomware variants from encrypted file samples and ransom notes
- No More Ransom Project: Europol-backed initiative providing free decryption tools for known ransomware families
- Veeam / Rubrik: Enterprise backup solutions with immutable backup support and instant recovery capabilities
Common Scenarios
- LockBit Attack: Detected via SMB lateral movement and mass file encryption — isolate, scan for Cobalt Strike beacons
- BlackCat/ALPHV: Detected via ransomware note creation — check for data exfiltration via Rclone or Mega upload
- Conti/Royal: Detected via shadow copy deletion — check for prior BazarLoader/Emotet initial access
- RansomHub: Detected via anomalous process execution — investigate for compromised VPN or RDP credentials
- Play Ransomware: Detected via service account abuse — audit AD for newly created accounts and group membership changes
Output Format
RANSOMWARE PLAYBOOK EXECUTION — IR-2024-0500
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Phase 1 - Detection:
Alert: Mass file encryption detected on FILESERVER-03
Variant: LockBit 3.0 (confirmed via ID Ransomware)
MTTD: 12 minutes from first encryption to SOC alert
Phase 2 - Containment:
[DONE] FILESERVER-03 isolated via CrowdStrike at 14:35 UTC
[DONE] SMB blocked enterprise-wide via firewall emergency rule
[DONE] Compromised service account disabled in AD
MTTC: 23 minutes
Phase 3 - Eradication:
[DONE] 3 additional hosts with C2 beacon identified and isolated
[DONE] Cobalt Strike C2 domain (c2[.]evil[.]com) sinkholed
[DONE] Enterprise-wide IOC scan completed — no additional infections
Phase 4 - Recovery:
[DONE] FILESERVER-03 rebuilt from gold image
[DONE] Data restored from immutable Veeam backup (RPO: 4 hours)
[DONE] Systems monitored 72 hours — no reinfection
MTTR: 18 hours
Total Affected: 1 server, 3 workstations
Data Loss: 4 hours of file modifications (backup RPO)
Exfiltration: No evidence of data exfiltration confirmedMore skills from mukul975/Anthropic-Cybersecurity-Skills
- Aabusing-dpapi-for-credential-accessExtract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket's dpapi.py, including domain-wide decryption via the DPAPI backup key. Use during authorized red-team credential-access engagements after gaining a foothold or when triaging DPAPI blobs pulled from a host.
- Aabusing-shadow-credentials-for-privescTake over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target's NT hash without a password reset. Use when BloodHound shows GenericWrite/GenericAll/AddKeyCredentialLink over a target, as a stealthier alternative to ForceChangePassword, during authorized red-team engagements.
- Aachieving-cmmc-level-2-compliancePrepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.
- Aacquiring-disk-image-with-dd-and-dcflddCreate forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.
- Aanalyzing-active-directory-acl-abuseDetect dangerous ACL misconfigurations in Active Directory using ldap3
- Aanalyzing-android-malware-with-apktoolPerform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.
- Danalyzing-api-gateway-access-logs'Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect
- Aanalyzing-apt-group-with-mitre-navigatorQuery ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups' TTPs for detection-gap analysis. Use to compare threat-actor technique coverage, find gaps in detection engineering, or produce Navigator visualizations for threat-intel reporting.
- Aanalyzing-azure-activity-logs-for-threats'Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query
- Aanalyzing-bootkit-and-rootkit-samples'Analyzes bootkit and advanced rootkit malware infecting the Master
- Aanalyzing-browser-forensics-with-hindsightParse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user's web activity from a browser profile.
- Aanalyzing-campaign-attribution-evidenceSystematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.