Stay safe in your job search

Community-powered platform for checking suspicious job offers and malicious coding test repositories. Submit a case — get an evidence-backed risk verdict you can share.

No account needed to browse cases

Research partner

Stony Brook University

What happens on each submission

Automation handles intake, scanning, and scoring. Analysts step in for edge cases and appeals.

Repository scan

Clone and analyze public GitHub / Bitbucket repos for install hooks, obfuscated code, exfiltration patterns, and risky scripts.

Interaction signals

Detect urgency, off-platform redirects, domain mismatches, and other observable red flags using transparent, rule-based scoring.

AI-powered summary

Get a plain-language explanation of findings — grounded in evidence, never hallucinated.

How it works

Three steps from suspicious message to shareable, evidence-backed case page.

1. Paste the conversation

Drop the full recruiting thread into the form. We auto-extract repo links, persona names, companies, and contact channels — no manual field-filling needed.

2. Automated analysis

The worker clones the repo, runs static checks against 50+ malicious patterns, and applies rule-based signal scoring. Your narrative is anonymized before storage.

3. Shareable case page

Get a public, evidence-backed page with the risk verdict, signal breakdown, AI summary, and a clear path to appeal if the outcome looks wrong.

Who builds RTIdx

A product team and academic researchers working together — defdone handles the platform, Stony Brook University brings deep expertise in fraud measurement and attacker methodology.

Defdone

Product & engineering
Jan Podleski

Jan Podleski

Product Engineer

Owns the full development process from concept through deployment — building scalable product features, Web3 integrations, and AI-powered tools. CS graduate from Poznan University of Technology (thesis on IoT in renewable energy management). Responsible for implementation, testing, and release — turning product direction into working software.

Piotr Dziubecki

Piotr Dziubecki

Head of Product

Leads product strategy for technology that helps prevent fraud in the interview process. Deep experience in product leadership, enterprise platforms, AI-native systems, blockchain infrastructure, and distributed technology — focused on turning complex trust problems into practical, user-centered products.

Devendran Muthukumaramani

Devendran Muthukumaramani

Technical Product Manager

20+ years across enterprise technology and financial services (IBM, Cognizant, Standard Chartered). 3+ years at Casper Association leading DeFi, NFT, and developer tooling projects. His firsthand experience as a target of the recruitment scam campaigns RTIdx detects informs both platform design and threat intelligence. Full-stack blockchain specialist building with Ethereum, Solidity, and Next.js.

Stony Brook University

Research partner
Abisheka Pitumpe

Abisheka Pitumpe

PhD Student — Stony Brook University

PhD candidate in Computer Science at Stony Brook, working in the Ethos Lab. Research focuses on developing methodologies to detect and protect against internet scams — designing automated pipelines that leverage LLMs to improve scam classification accuracy and building crawlers to automate scam detection at scale.

Amir Rahmati

Amir Rahmati

Assistant Professor — Stony Brook University

Assistant Professor at Stony Brook University and director of the Ethos Security and Privacy Lab, researching the security and privacy of emerging systems including IoT, AR, and ML.

Publication

Anansi: Scalable Characterization of Message-Based Job Scams

Abisheka Pitumpe, Amir Rahmati · arXiv preprint, Feb 2026

Scalable pipeline for characterizing job scams — the methodology and findings behind our threat signal design.

RTIdx — Risk & Threat Index

Got a sketchy DM or repo invite?

Community-powered platform for checking suspicious job offers and malicious coding test repositories. Submit a case — get an evidence-backed risk verdict you can share.

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