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Challenge

Anti-Scam Root Cause Triage Agent with Google ADK and Gemini

Scam operations target citizens using evolving phishing mechanisms, demanding rapid intelligence extraction and coordinated public safety response across agencies. Build a Google ADK agent utilizing Gemini multimodal reasoning to ingest scam SMS reports, correlate suspect URL clusters, and generate actionable anti-scam intelligence bulletins.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Develop an automated anti-scam triage pipeline using Google Agent Development Kit (ADK) and Gemini multimodal models to process public scam reports.

Delivery guide

How work is evaluated

Evaluation

Evaluates Google ADK agent accuracy in identifying scam domains and outputting standardized incident response directives.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

takedown_trigger_test

Ensures domain takedown recommendation is issued for active Singpass phishing sites

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

extraction_precision

Accuracy of extracted phishing URLs • target: 1 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Build modular AI agents using Google Agent Development Kit (ADK) and Vertex AI

  • Analyze multimodal scam evidence (screenshots, SMS text, phishing domain records)

  • Cluster scam infrastructure patterns using similarity search and graph linking

  • Automate public warning bulletin generation and ISP domain takedown requests

Resources and assets

Reference links and supporting material

Dataset notes

Anonymized phishing SMS feeds and domain registry logs from Singapore scam reporting channels.

Challenge setup

Evaluates Google ADK agent accuracy in identifying scam domains and outputting standardized incident response directives.

Challenge input

JSON containing SMS text body and base64 encoded screenshot metadata

Google ADK

Google Agent Development Kit providing enterprise integration with Vertex AI and Gemini

Evaluated output

JSON containing extracted_urls, impersonated_entity, threat_level, and takedown_recommended

Evaluation checks
  • Ensures domain takedown recommendation is issued for active Singpass phishing sites
  • Accuracy of extracted phishing URLs • target: 1 • range: 0-1
Configured evaluation evidence
  • Benchmark: Cyber Threat Triage Benchmark
  • Extraction Precision target: 1
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • Google ADK · Required
  • Google Gemini · Optional
  • Google · Optional

Evaluation contract

  • takedown_trigger_test · Weight 1
  • extraction_precision · Weight 1

Metrics

  • extraction_precision · Target 1

Benchmarks

  • Cyber Threat Triage Benchmark
  • security

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON containing SMS text body and base64 encoded screenshot metadata

    Output: JSON containing extracted_urls, impersonated_entity, threat_level, and takedown_recommended

    Execution harness: Python

Evaluation tools

  • Google ADK · Agent Framework

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Anti-Scam Root Cause Triage Agent with Google ADK and Gemini