extracting-browser-history-artifacts

name: extracting-browser-history-artifacts description: Extract and analyze browser history, cookies, cache, downloads, and bookmarks from Chrome, Firefox, and Edge for forensic evidence of user web activity. domain: cybersecurity tags:

• forensics
• browser-forensics
• chrome
• firefox
• edge
• web-history
• artifact-extraction subdomain: digital-forensics version: '1.0' author: mahipal license: Apache-2.0 nist_csf:
• RS.AN-01
• RS.AN-03
• DE.AE-02
• RS.MA-01

Extracting Browser History Artifacts

Overview

Cybersecurity skill for extracting browser history artifacts. Follows industry best practices and security standards.

When to Use

• When investigating user web activity as part of a forensic examination
• During insider threat investigations to establish patterns of data exfiltration
• When tracing user visits to malicious or policy-violating websites
• For correlating browser activity with other forensic artifacts and timelines
• When investigating phishing attacks to identify which links were clicked

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

Prerequisites

• Forensic image or access to user profile directories
• SQLite3 for querying browser databases
• Hindsight, BrowsingHistoryView, or DB Browser for SQLite
• Knowledge of browser artifact file locations per OS
• Python 3 with sqlite3 module for automated extraction
• Understanding of Chrome, Firefox, and Edge storage formats

Workflow

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}

1. Define Objectives — Clarify the goals and scope for browser history artifacts.
2. Gather Resources — Collect tools, data, and access needed for browser history artifacts.
3. Execute Process — Carry out browser history artifacts operations methodically.
4. Verify Quality — Check results against acceptance criteria.
5. Document Outcomes — Record findings, decisions, and next steps.

Tools

• Analysis Platform — Data processing and visualization
• Collaboration Tools — Team coordination and knowledge sharing

Verification

• All browser history artifacts procedures executed completely and documented
• Findings validated against multiple data sources
• False positives identified and filtered
• Results documented with evidence and timestamps
• Recommendations provided with risk-based prioritization

Anti-Rationalization