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Takedown Automation

Automated Abuse Reporting & Status Tracking

A production module inside a Security Command Center (SCC) platform that automatically files takedown requests for malicious sites (phishing, brand-jacking gambling) to the national content regulator and other platforms — programmatically defeating bot protection — and tracks every request through its lifecycle on a single dashboard.

#Brand Protection#Digital Risk Protection#Takedown / Abuse Reporting#Security Automation#Web Automation#Anti-Bot Bypass#Workflow Automation#Data Engineering

// Overview

What it does. Finding a malicious site is only half the job — someone has to get it taken down, and that means filing abuse reports with the right authority and then chasing the status until it's resolved. Done by hand this is slow, repetitive, and easy to drop. This module automates it: given a confirmed malicious URL (handed over from web/social monitoring), it submits a takedown report to the national content-reporting portal programmatically, deduplicates against already-reported URLs, records a support/ticket ID, and then re-checks the status on a daily schedule until the case closes. Manual or email-based takedown channels (registrars, hosting abuse desks) are tracked in the same system so analysts see one unified funnel — submitted → in progress → resolved — across every platform.

// Background

The challenge

Detection was working — but getting confirmed sites

removed was a separate, entirely manual battle.

01

Submission was bot-gated

The reporting portal sits behind Cloudflare and a

dynamic Livewire form; each report meant human clicks.

Bot protection made every submission a manual challenge

02

Duplicate effort

Without a dedup check, the same domain got reported

repeatedly, wasting time and muddying tracking.

Re-reporting known domains was routine

03

No lifecycle visibility

Once filed, a request disappeared into an inbox; no

single place to see submitted vs in-progress vs resolved.

Filed and forgotten — until someone chased it

04

Fragmented channels

Some takedowns go to the national portal, others to

registrar/hosting abuse desks — no record.

One funnel for all platforms didn't exist

Net effect

Detection was working; getting sites removed was

the bottleneck.

// Solution

Takedown automation — submit, track & follow up

Data sources

Confirmed malicious URL

from web / social monitoring

triggered automatically

Manual channels

registrar · hosting · email

analyst-driven entries

Pipeline

Auto submit

bot-protection bypass

form flow automation

Submit

Record

activity log

+ ticket ID

Record

Scheduler

re-check status

verify reachable

Poll

Dashboard

Vue 3 + FastAPI

status × plat

Dashboard

Bot-protection bypass · check-before-submit dedup · daily Airflow polling · unified auto + manual funnel

// Impact

Reporting: manual → automated

Before · by hand

manual anti-bot clicks · no scale

After · automated bypass

automated · bot-free · 0 manual clicks

0

manual clicks per takedown report

Duplicate domain filingsprevented
Support ticket IDsauto-captured

Operational impact

Reporting at machine speed

bypass beats bot-gated forms, reported

No duplicate filings

dedup recovers existing ticket codes

End-to-end visibility

funnel: submitted → progress → resolved

Reliable follow-up

ticket IDs re-polled daily, no stalls

Unified audit trail

auto + manual in one activity log

Closes the loop

detection → takedown in one flow

Results

clicks / report

0

automated filing

24/7

ticket IDs kept

100%

status polling

daily

Duplicate domain reportsprevented
Detection → takedownautomated

Covers auto portal + manual registrar

All activity logged with ticket IDs.

// Tech Stack

LayerTechnologies
OrchestrationApache Airflow (daily takedown DAG: status-check → browser-check → fact rebuild), Papermill
Automationcurl-cffi (Chrome TLS/HTTP-2 impersonation, Cloudflare bypass), reverse-engineered Livewire flow (CSRF + snapshot), retry/back-off on rate limits, screenshot capture
Backend APIFastAPI, async httpx, psycopg / SQLAlchemy
Data storePostgreSQL (takedown records + activity log + rebuilt fact table)
FrontendVue 3, Quasar, Vite, TypeScript, Pinia, TanStack Vue Query, ECharts

// Architecture & Diagrams

1 / 4System Architecture — Simple (high level)
rendering…

Disclaimer: sample visuals may contain anonymized, simulated, or non-production values for presentation purposes.

// Demo

No demo configured yet.