detecting-suspicious-powershell-execution
$
npx mdskill add mukul975/Anthropic-Cybersecurity-Skills/detecting-suspicious-powershell-executionDetects encoded PowerShell commands and AMSI bypass attempts.
- Identifies malicious execution patterns during threat hunting.
- Integrates with EDR, SIEM, and Sysmon telemetry sources.
- Correlates indicators against threat intelligence feeds.
- Generates actionable alerts for security analysts.
SKILL.md
.github/skills/detecting-suspicious-powershell-executionView on GitHub ↗
--- name: detecting-suspicious-powershell-execution description: Detect suspicious PowerShell execution patterns including encoded commands, download cradles, AMSI bypass attempts, and constrained language mode evasion. domain: cybersecurity subdomain: threat-hunting tags: [threat-hunting, mitre-attack, powershell, execution, t1059, amsi, proactive-detection] version: "1.0" author: mahipal license: Apache-2.0 --- # Detecting Suspicious Powershell Execution ## When to Use - When proactively hunting for indicators of detecting suspicious powershell execution in the environment - After threat intelligence indicates active campaigns using these techniques - During incident response to scope compromise related to these techniques - When EDR or SIEM alerts trigger on related indicators - During periodic security assessments and purple team exercises ## Prerequisites - EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne) - SIEM with relevant log data ingested (Splunk, Elastic, Sentinel) - Sysmon deployed with comprehensive configuration - Windows Security Event Log forwarding enabled - Threat intelligence feeds for IOC correlation ## Workflow 1. **Formulate Hypothesis**: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis. 2. **Identify Data Sources**: Determine which logs and telemetry are needed to validate or refute the hypothesis. 3. **Execute Queries**: Run detection queries against SIEM and EDR platforms to collect relevant events. 4. **Analyze Results**: Examine query results for anomalies, correlating across multiple data sources. 5. **Validate Findings**: Distinguish true positives from false positives through contextual analysis. 6. **Correlate Activity**: Link findings to broader attack chains and threat actor TTPs. 7. **Document and Report**: Record findings, update detection rules, and recommend response actions. ## Key Concepts | Concept | Description | |---------|-------------| | T1059.001 | PowerShell | | T1059.003 | Windows Command Shell | | T1562.001 | Disable or Modify Tools | ## Tools & Systems | Tool | Purpose | |------|---------| | CrowdStrike Falcon | EDR telemetry and threat detection | | Microsoft Defender for Endpoint | Advanced hunting with KQL | | Splunk Enterprise | SIEM log analysis with SPL queries | | Elastic Security | Detection rules and investigation timeline | | Sysmon | Detailed Windows event monitoring | | Velociraptor | Endpoint artifact collection and hunting | | Sigma Rules | Cross-platform detection rule format | ## Common Scenarios 1. **Scenario 1**: Base64 encoded PowerShell command launched by macro document 2. **Scenario 2**: IEX download cradle fetching payload from C2 server 3. **Scenario 3**: AMSI bypass via reflection patching before payload execution 4. **Scenario 4**: PowerShell Empire agent communicating with C2 ## Output Format ``` Hunt ID: TH-DETECT-[DATE]-[SEQ] Technique: T1059.001 Host: [Hostname] User: [Account context] Evidence: [Log entries, process trees, network data] Risk Level: [Critical/High/Medium/Low] Confidence: [High/Medium/Low] Recommended Action: [Containment, investigation, monitoring] ```
More from mukul975/Anthropic-Cybersecurity-Skills
- acquiring-disk-image-with-dd-and-dcflddCreate forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
- analyzing-active-directory-acl-abuseDetect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
- analyzing-android-malware-with-apktoolPerform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
- analyzing-api-gateway-access-logs>
- analyzing-apt-group-with-mitre-navigatorAnalyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
- analyzing-azure-activity-logs-for-threats>
- analyzing-bootkit-and-rootkit-samples>
- analyzing-browser-forensics-with-hindsightAnalyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached content, autofill data, saved passwords, and browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation.
- analyzing-campaign-attribution-evidenceCampaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attr
- analyzing-certificate-transparency-for-phishingMonitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.