Skip to content
cccskills
FreePublished on GitHub

detecting-suspicious-powershell-execution

Detect suspicious PowerShell execution patterns including encoded commands, download cradles, AMSI bypass attempts, and constrained language mode evasion.

The English summary is being prepared. Showing the original description.

See how to install

Files included (8)

  • SKILL.md3.3 KB
  • assets/template.md2.6 KB
  • LICENSE11.0 KB
  • references/api-reference.md2.5 KB
  • references/standards.md1.6 KB
  • references/workflows.md2.9 KB
  • scripts/agent.py5.9 KB
  • scripts/process.py3.7 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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

ConceptDescription
T1059.001PowerShell
T1059.003Windows Command Shell
T1562.001Disable or Modify Tools

Tools & Systems

ToolPurpose
CrowdStrike FalconEDR telemetry and threat detection
Microsoft Defender for EndpointAdvanced hunting with KQL
Splunk EnterpriseSIEM log analysis with SPL queries
Elastic SecurityDetection rules and investigation timeline
SysmonDetailed Windows event monitoring
VelociraptorEndpoint artifact collection and hunting
Sigma RulesCross-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]

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.

The English summary is being prepared. Showing the original description.

aniket2348823/Vul-Agent2Updated Jun 9, 2026

Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths

The English summary is being prepared. Showing the original description.

aniket2348823/Vul-Agent2Updated Jun 9, 2026

Perform 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.

The English summary is being prepared. Showing the original description.

aniket2348823/Vul-Agent2Updated Jun 9, 2026

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.

The English summary is being prepared. Showing the original description.

aniket2348823/Vul-Agent2Updated Jun 9, 2026

Analyze 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.

The English summary is being prepared. Showing the original description.

aniket2348823/Vul-Agent2Updated Jun 9, 2026

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.

The English summary is being prepared. Showing the original description.

aniket2348823/Vul-Agent2Updated Jun 9, 2026

See all skills by aniket2348823

Report a problem with this skill