Anthropic-Cybersecurity-Skills/skills/performing-linux-log-forensics-investigation/SKILL.md

name, description, domain, subdomain, tags, version, author, license, nist_csf, mitre_attack

name	description	domain	subdomain	tags	version	author	license	nist_csf	mitre_attack
performing-linux-log-forensics-investigation	Perform forensic investigation of Linux system logs including syslog, auth.log, systemd journal (via journalctl), kern.log, auditd, and application logs to reconstruct user sessions, identify unauthorized access and privilege escalation, trace lateral movement, and establish event timelines. Use when investigating a suspected compromise of a Linux system and needing to analyze SSH, sudo, cron, or kernel-level activity from plain-text or systemd journal logs.	cybersecurity	digital-forensics	linux-forensics syslog auth-log systemd-journal journalctl linux-logs ssh-forensics cron audit-log log-analysis	1.0	mahipal	Apache-2.0	RS.AN-03 DE.AE-02 RS.MA-01	T1005 T1074 T1119 T1070 T1059

Performing Linux Log Forensics Investigation

Overview

Linux systems maintain extensive logs that serve as primary evidence sources in forensic investigations. Unlike Windows Event Logs, Linux logs are typically plain-text files stored in /var/log/ and binary journal files managed by systemd-journald. Key forensic logs include auth.log (authentication events, sudo usage, SSH sessions), syslog (system-wide messages), kern.log (kernel events), and application-specific logs. The Linux Audit framework (auditd) provides detailed security event logging comparable to Windows Security Event Logs. Forensic analysis of these logs enables investigators to reconstruct user sessions, identify unauthorized access, detect privilege escalation, trace lateral movement, and establish comprehensive event timelines.

When to Use

• When conducting security assessments that involve performing linux log forensics investigation
• When following incident response procedures for related security events
• When performing scheduled security testing or auditing activities
• When validating security controls through hands-on testing

Prerequisites

• Familiarity with digital forensics concepts and tools
• Access to a test or lab environment for safe execution
• Python 3.8+ with required dependencies installed
• Appropriate authorization for any testing activities

Key Log Files and Locations

Log File	Path	Contents
auth.log / secure	/var/log/auth.log (Debian) or /var/log/secure (RHEL)	Authentication, sudo, SSH, PAM
syslog / messages	/var/log/syslog (Debian) or /var/log/messages (RHEL)	General system messages
kern.log	/var/log/kern.log	Kernel messages, USB events, driver loads
lastlog	/var/log/lastlog	Last login per user (binary)
wtmp	/var/log/wtmp	Login/logout records (binary, read with last)
btmp	/var/log/btmp	Failed login attempts (binary, read with lastb)
faillog	/var/log/faillog	Failed login counter (binary)
cron.log	/var/log/cron or /var/log/syslog	Scheduled task execution
audit.log	/var/log/audit/audit.log	Linux Audit Framework events
journal	/var/log/journal/ or /run/log/journal/	systemd binary journal
dpkg.log	/var/log/dpkg.log	Package installation/removal (Debian)
yum.log	/var/log/yum.log	Package installation/removal (RHEL)

Analysis Techniques

Authentication Log Analysis

# Find all successful SSH logins
grep "Accepted" /var/log/auth.log

# Find failed SSH login attempts
grep "Failed password" /var/log/auth.log

# Extract unique source IPs from failed logins
grep "Failed password" /var/log/auth.log | grep -oP '\d+\.\d+\.\d+\.\d+' | sort -u

# Find sudo command execution
grep "sudo:" /var/log/auth.log | grep "COMMAND"

# Detect brute force patterns (>10 failures from same IP)
grep "Failed password" /var/log/auth.log | awk '{print $(NF-3)}' | sort | uniq -c | sort -rn | head -20

# Find account creation events
grep "useradd\|adduser" /var/log/auth.log

# Detect SSH key authentication
grep "Accepted publickey" /var/log/auth.log

Systemd Journal Analysis

# Export journal in JSON format for forensic processing
journalctl --output=json --no-pager > journal_export.json

# Filter by time range
journalctl --since "2025-02-01" --until "2025-02-15" --output=json > timerange.json

# Filter by unit/service
journalctl -u sshd --output=json > sshd_journal.json

# Show kernel messages (USB events, module loads)
journalctl -k --output=json > kernel_journal.json

# Filter by priority (0=emerg to 7=debug)
journalctl -p err --output=json > errors.json

# Boot-specific logs
journalctl -b 0 --output=json > current_boot.json
journalctl --list-boots  # List all recorded boot sessions

Linux Audit Framework Analysis

# Search audit log for specific event types
ausearch -m USER_AUTH --start today

# Search for file access events
ausearch -f /etc/shadow

# Search for process execution
ausearch -m EXECVE --start "02/01/2025" --end "02/28/2025"

# Generate report of login events
aureport --login --start "02/01/2025"

# Generate summary of failed authentications
aureport --auth --failed

# Search for specific user activity
ausearch -ua 1001  # By UID
ausearch -ua username  # By username

Cron Job Investigation

# Check system-wide crontab
cat /etc/crontab

# Check user crontabs
ls -la /var/spool/cron/crontabs/

# Review cron execution logs
grep "CRON" /var/log/syslog

# Check for at/batch jobs
ls -la /var/spool/at/
atq

Python Forensic Log Parser

import re
import json
import sys
import os
from datetime import datetime
from collections import defaultdict


class LinuxLogForensicAnalyzer:
    """Analyze Linux system logs for forensic investigation."""

    def __init__(self, log_dir: str, output_dir: str):
        self.log_dir = log_dir
        self.output_dir = output_dir
        os.makedirs(output_dir, exist_ok=True)

    def parse_auth_log(self, auth_log_path: str) -> dict:
        """Parse auth.log for authentication events."""
        events = {
            "successful_logins": [],
            "failed_logins": [],
            "sudo_commands": [],
            "account_changes": [],
            "ssh_sessions": []
        }

        ssh_accepted = re.compile(
            r'(\w+\s+\d+\s+[\d:]+)\s+(\S+)\s+sshd\[\d+\]:\s+Accepted\s+(\S+)\s+for\s+(\S+)\s+from\s+([\d.]+)'
        )
        ssh_failed = re.compile(
            r'(\w+\s+\d+\s+[\d:]+)\s+(\S+)\s+sshd\[\d+\]:\s+Failed\s+password\s+for\s+(\S*)\s+from\s+([\d.]+)'
        )
        sudo_cmd = re.compile(
            r'(\w+\s+\d+\s+[\d:]+)\s+(\S+)\s+sudo:\s+(\S+)\s+:.*COMMAND=(.*)'
        )
        useradd = re.compile(
            r'(\w+\s+\d+\s+[\d:]+)\s+(\S+)\s+useradd\[\d+\]:\s+new user: name=(\S+)'
        )

        with open(auth_log_path, "r", errors="replace") as f:
            for line in f:
                m = ssh_accepted.search(line)
                if m:
                    events["successful_logins"].append({
                        "timestamp": m.group(1), "host": m.group(2),
                        "method": m.group(3), "user": m.group(4), "source_ip": m.group(5)
                    })
                    continue

                m = ssh_failed.search(line)
                if m:
                    events["failed_logins"].append({
                        "timestamp": m.group(1), "host": m.group(2),
                        "user": m.group(3), "source_ip": m.group(4)
                    })
                    continue

                m = sudo_cmd.search(line)
                if m:
                    events["sudo_commands"].append({
                        "timestamp": m.group(1), "host": m.group(2),
                        "user": m.group(3), "command": m.group(4).strip()
                    })
                    continue

                m = useradd.search(line)
                if m:
                    events["account_changes"].append({
                        "timestamp": m.group(1), "host": m.group(2),
                        "new_user": m.group(3)
                    })

        return events

    def detect_brute_force(self, auth_events: dict, threshold: int = 10) -> list:
        """Detect brute force attempts from auth log data."""
        ip_failures = defaultdict(int)
        for event in auth_events.get("failed_logins", []):
            ip_failures[event["source_ip"]] += 1

        brute_force = []
        for ip, count in ip_failures.items():
            if count >= threshold:
                brute_force.append({"source_ip": ip, "failed_attempts": count})

        return sorted(brute_force, key=lambda x: x["failed_attempts"], reverse=True)

    def generate_report(self, auth_log_path: str) -> str:
        """Generate comprehensive forensic analysis report."""
        auth_events = self.parse_auth_log(auth_log_path)
        brute_force = self.detect_brute_force(auth_events)

        report = {
            "analysis_timestamp": datetime.now().isoformat(),
            "log_source": auth_log_path,
            "summary": {
                "successful_logins": len(auth_events["successful_logins"]),
                "failed_logins": len(auth_events["failed_logins"]),
                "sudo_commands": len(auth_events["sudo_commands"]),
                "account_changes": len(auth_events["account_changes"]),
                "brute_force_sources": len(brute_force)
            },
            "brute_force_detected": brute_force,
            "auth_events": auth_events
        }

        report_path = os.path.join(self.output_dir, "linux_log_forensics.json")
        with open(report_path, "w") as f:
            json.dump(report, f, indent=2)

        print(f"[*] Successful logins: {report['summary']['successful_logins']}")
        print(f"[*] Failed logins: {report['summary']['failed_logins']}")
        print(f"[*] Sudo commands: {report['summary']['sudo_commands']}")
        print(f"[*] Brute force sources: {report['summary']['brute_force_sources']}")
        return report_path


def main():
    if len(sys.argv) < 3:
        print("Usage: python process.py <auth_log_path> <output_dir>")
        sys.exit(1)
    analyzer = LinuxLogForensicAnalyzer(os.path.dirname(sys.argv[1]), sys.argv[2])
    analyzer.generate_report(sys.argv[1])


if __name__ == "__main__":
    main()

References

• Linux Forensics In Depth: https://amr-git-dot.github.io/forensic%20investigation/Linux_Forensics/
• SANS Practical Linux Forensics: https://nostarch.com/linuxforensics
• HackTricks Linux Forensics: https://book.hacktricks.xyz/generic-methodologies-and-resources/basic-forensic-methodology/linux-forensics
• Log Sources for Digital Forensics: https://letsdefend.io/blog/log-sources-for-digital-forensics-windows-and-linux