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1.7 KiB
API Reference — Performing Linux Log Forensics Investigation
Libraries Used
- re: Pattern matching for log entries (IPs, users, timestamps, suspicious commands)
- gzip: Read compressed log files (.gz)
- pathlib: File system operations
- collections.Counter: Aggregate brute force IPs, command tags
CLI Interface
python agent.py auth --file /var/log/auth.log
python agent.py syslog --file /var/log/syslog
python agent.py history --file /home/user/.bash_history
python agent.py timeline --files /var/log/auth.log /var/log/syslog /var/log/kern.log
Core Functions
analyze_auth_log(log_file) — Authentication log analysis
Detects: failed logins, successful logins, sudo commands, SSH events. Identifies brute force suspects (>=5 failed attempts from same IP).
analyze_syslog(log_file) — System log anomaly detection
Flags: errors/critical messages, kernel anomalies (segfault, OOM, panic), cron jobs.
analyze_command_history(history_file) — Suspicious command detection
12 patterns: remote code execution (curl|sh), reverse shells, base64 decode, crontab modification, firewall flush, history clearing, destructive commands.
timeline_analysis(log_files) — Multi-source timeline reconstruction
Merges events from multiple log files sorted by timestamp. Supports syslog format (Mon DD HH:MM:SS) and ISO 8601.
Suspicious Command Tags
| Tag | Pattern |
|---|---|
| REMOTE_CODE_EXECUTION | curl/wget piped to sh/bash |
| BASH_REVERSE_SHELL | /dev/tcp/ usage |
| NETCAT_LISTENER | nc -e/-l/-p |
| HISTORY_CLEAR | history -c |
| DESTRUCTIVE_COMMAND | rm -rf / |
Dependencies
No external packages — Python standard library only.