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hunting-for-webshell-activity

hunting-for-webshell-activity

github.com/mukul975Security35.2k122 installsUpdated 8w ago
Repository

About hunting-for-webshell-activity

A threat-hunting skill for investigating possible webshell activity through endpoint and SIEM telemetry. It guides analysts from hypothesis and data-source selection through query analysis, validation, correlation, and reporting.

Key features

  1. 01Structure a hypothesis-driven hunt
  2. 02Identify logs and telemetry sources
  3. 03Query SIEM and EDR data
  4. 04Validate and correlate findings
  5. 05Document evidence and response actions

Use cases

  1. 01Investigate alerts indicating webshell activity
  2. 02Scope suspected compromise during incident response
  3. 03Hunt for campaign-related indicators

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill hunting-for-webshell-activity

After installing, type/hunting-for-webshell-activityin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

LICENSE
assets/
template.md
references/
api-reference.md
standards.md
workflows.md
scripts/
agent.py
process.py

Details

From the project README

Hunting For Webshell Activity

When to Use

  • When proactively hunting for indicators of hunting for webshell activity 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
T1505.003Web Shell
T1190Exploit Public-Facing Application
T1059.001PowerShell

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: China Chopper web shell via IIS vulnerability
  2. Scenario 2: ASPXSpy through vulnerable upload
  3. Scenario 3: PHP shell hidden in image file
  4. Scenario 4: JSP shell via Tomcat manager console

Output Format

Hunt ID: TH-HUNTIN-[DATE]-[SEQ]
Technique: T1505.003
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]

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