analyzing-security-logs-with-splunk
Leverages Splunk Enterprise Security and SPL (Search Processing Language) to investigate security incidents through log correlation, timeline reconstruction…
Skill by mukul975
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: data, security
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/analyzing-security-logs-with-splunk
What's inside
- Skill name
analyzing-security-logs-with-splunk- Description
- Leverages Splunk Enterprise Security and SPL (Search Processing Language) to investigate security incidents through log correlation, timeline reconstruction, and anomaly detection. Covers Windows event logs, firewall logs, proxy logs, and authentication data analysis. Activates for requests involving Splunk investigation, SPL queries, SIEM log analysis, security event correlation, or log-based incident investigation.
- License
- Apache-2.0
- Instructions
- 223 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- LICENSE
- SKILL.md
- api-reference.md · references/
- agent.py · scripts/
SKILL.md (first lines)
# Analyzing Security Logs with Splunk ## When to Use - Investigating a security incident that requires correlation across multiple log sources - Hunting for adversary activity using known TTPs and IOCs - Building detection rules for specific attack patterns - Reconstructing an incident timeline from disparate log sources - Analyzing authentication anomalies, lateral movement, or data exfiltration patterns **Do not use** for real-time packet-level analysis; use Wireshark or Zeek for full packet capture analysis. ## Prerequisites - Splunk Enterprise or Splunk Cloud with Enterprise Security (ES) app installed - Log sources ingested: Windows Event Logs (via Splunk Universal Forwarder or WEF), firewall, proxy, DNS, EDR, email gateway - Splunk CIM (Common Information Model) data models configured for normalized field names - SPL proficiency at intermediate level or higher - Role-based access with `search` and `accelerate_search` capabilities in Splunk ## Workflow ### Step 1: Scope the Investigation in Splunk Define search parameters based on incident triage data: ```spl | Set initial investigation scope index=windows OR index=firewall OR index=proxy earliest="2025-11-14T00:00:00" latest="2025-11-16T00:00:00" (host="WKSTN-042" OR src_ip="10.1.5.42" OR user="jsmith") | stats count by index, sourcetype, host | sort -count ``` This query establishes which log sources contain relevant data for the investigation timeframe and affected assets. ### Step 2: Analyze Authentication Events Investigate suspicious authentication patterns using Windows Security Event Logs: ```spl | Detect brute force and credential stuffing index=windows sourcetype="WinEventLog:Security" EventCode=4625 earliest=-24h | stats count as failed_attempts, values(src_ip) as source_ips, dc(src_ip) as unique_sources by TargetUserName | where failed_attempts > 10 | sort -failed_attempts | Detect pass-the-hash (Logon Type 9 - NewCredentials) index=windows sourcetype="WinEventLog:Security" EventCode=4624 Logon_Type=9 | table _time, host, TargetUserName, src_ip, LogonProcessName | Detect lateral movement via RDP index=windows sourcetype="WinEventLog:Security" EventCode=4624 Logon_Type=10 | stats count, values(host) as targets by TargetUserName, src_ip | where count > 3 | sort -count ``` ### Step 3: Trace Process Execution Use Sysmon logs to reconstruct process execution chains: ```spl | Process creation with parent chain (Sysmon Event ID 1) index=sysmon EventCode=1 host="WKSTN-042" earliest="2025-11-15T14:00:00" latest="2025-11-15T15:00:00" | table _time, ParentImage, ParentCommandLine, Image, CommandLine, User, Hashes | sort _time | Detect suspicious PowerShell execution index=sysmon EventCode=1 Image="*\\powershell.exe" (CommandLine="*-enc*" OR CommandLine="*-encodedcommand*" OR CommandLine="*downloadstring*" OR CommandLine="*iex*") | table _time, host, User, ParentImage, CommandLine | sort _time | Detect LSASS credential dumping index=sysmon EventCode=10 TargetImage="*\\lsass.exe" GrantedAccess=0x1010 | table _time, host, SourceImage, SourceUser, GrantedAccess ``` ### Step 4: Analyze Network Activity Correlate network logs with endpoint events: ```spl | Detect C2 beaconing pattern index=proxy OR index=firewall dest_ip="185.220.101.42" | timechart span=1m count by src_ip | where count > 0 | Detect DNS tunneling (high query volume to single domain) index=dns | rex field=query "(?<subdomain>[^\.]+)\.(?<domain>[^\.]+\.[^\.]+)$" | stats count, avg(len(query)) as avg_query_len by domain, src_ip | where count > 500 AND avg_query_len > 40 | sort -count | Detect large data transfers (potential exfiltration) index=proxy action=allowed | stats sum(bytes_out) as total_bytes by src_ip, dest_ip, dest_host | eval total_MB=round(total_bytes/1024/1024,2) | where total_MB > 100 | sort -total_MB ``` ### Step 5: Build the Incident Timeline Reconstruct a unified timeline across all log sources: ```spl | Unified incident timeline index=windows OR index=sysmon OR index=proxy OR index=firewall
From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.
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Signals
- Stars
- 34,941
- Forks
- 4,256
- Open issues
- 24
- Last commit (this folder)
- Jun 1, 2026 (4 months ago)
- Last release
- Jun 22, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
analyzing-security-logs-with-splunk skill. Agent Mart. https://agentmart.dev/skills/mukul975-analyzing-security-logs-with-splunk (last updated 2026-10-24)