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upwork.com 🟢 2026-06-01

🔹 Data Forensics Analysis for Privacy & Ad-Tech Litigation
👤 Client: 🇺🇸 United States Member since 2016-12-05
💰 Price: ****
🚩 Problem: Lack of defensible, reproducible technical evidence regarding unauthorized third-party tracking and consent mechanism failures for legal proceedings.
📦 Existing: Existing report templates for tracker-and-consent analysis and pixel-history reconstruction.

Specifications:

[Target]: Consumer websites and mobile applications
[Method]: Protocol-level network traffic capture (CDP/HAR), headless/headed browser automation, reverse engineering of tag-manager logic, historical reconstruction via Wayback Machine
[UI/UX]: Consent Management Platform (CMP) state analysis, cookie persistence inspection, CSP whitelists
[Stack]: Playwright, Chromium, Brave, Chrome DevTools Protocol, curl
[Security]: Hash-verified evidence preservation, chain of custody, independent verification steps
[Format]: Evidentiary reports containing executive summaries, methodology, technical findings, raw request payloads, and file manifests

Workflow:

1. Establish clean-profile baselines with controlled geo/VPN conditions.
2. Capture network traffic and identify third-party trackers (Meta, Google, TikTok, etc.).
3. Decode parameters to identify transmitted PII and persistent identifiers.
4. Analyze CMP initialization timing and platform consent flags against transmission timestamps.
5. Map tag-manager firing logic and historical deployment timelines.
6. Generate hash-verified evidence appendix and final forensic report.