Stop Sybil Attacks Without KYC: Evidence-First Prevention for Marketplaces
Build an evidence-first defense for marketplace Sybil attacks: payment-weighted reputation, graph-based detection, device and anonymity signals, plus...
Yahor Papou is the Chief Marketing Officer at ShieldLabs with 5 years of experience in marketing and growth. He focuses on positioning, content, and building go-to-market strategies for B2B products.
Yahor Papou's articles
First Request Detection With HTTP/2 Header Fingerprints for Defenders
HTTP/2 aware header fingerprinting for defenders. Use SETTINGS, WINDOW_UPDATE and pseudo header order to spot impersonation quickly.
17–20% Cookieless Traffic: Marketers' Cookie Deprecation Playbook
A marketer's playbook to handle cookie deprecation impact: audit tags, deploy server-side events, expand first-party capture, and add auditable visitor ID.
5-Stage Referral Fraud Detection for Product & Engineering Teams
Practical 5-stage playbook for product & engineering teams: combine explainable signals, graph-based scoring, and event holds to stop referral fraud.
Setup Multi Accounting Detection in 5 Minutes for Fraud Teams
Fraud teams: detect multi accounting with device, graph, and behavioral signals. Five minute setup; free tier: 5,000 identifications.
3 Checks to Catch Click Spamming: Detection Playbook for Marketers
Operational playbook for marketers and fraud analysts: three checks, CTIT, conversion baselines and device fingerprints, to detect click spamming early.
Operators: Persistent IDs for Bonus Abuse Detection in 24–72 Hours
Capture deposit to withdraw events, prioritise persistent visitor IDs and cohort signals, and score bonus claims in real time to stop abuse.
Fingerprinting vs Cookies: Key Differences for Fraud Teams
How cookies differ from server-side fingerprinting, why many cookieless claims mislead, and practical steps for developers and fraud teams.
Credential Stuffing Detection: 3 SIEM Rules SOCs Need Now
SOC playbook for credential stuffing detection: three SIEM-ready rules, triage and containment steps, and how to stream risk signals into your SIEM.
Deploy Tor Detection in Five Minutes for Security Engineers
Ops first Tor detection for security engineers: deploy exit lists, DNS/API lookup, TLS fingerprints, and auditable signals in five minutes.
Stop False Positives: Apple Private Relay Detection for IT & Fraud Ops
Ops guide to detecting Apple Private Relay. Learn three detection techniques, when to return NXDOMAIN, and fraud safe rules for teams.
5 Low Latency Checks to Detect Anti Detect Browsers for Fraud Teams
Research backed playbook for fraud teams: five low latency checks to spot anti detect browsers, signal to score mapping, and a ShieldLabs setup path.
Detect Free Trial Abuse with 300+ Signals for SaaS Teams
Detect free trial abuse without blocking real users. Use auditable signals, progressive friction, and metrics to protect conversion.
One Snippet, Five Minutes: Early Bot Detection for WordPress Sites
Cut bot damage on WordPress by detecting early, logging first, and tuning rules safely. Install one JS snippet in about five minutes.
Developers: 5 Steps to Reliable Persistent Device IDs
Implement persistent device IDs on Android, iOS, and web: MediaDrm and Keychain storage, migration, privacy best practices, and where ShieldLabs fits.
Four Stage Risk Funnel for Fake Signup Detection with Persistent ID
Practitioner guide to fake signup detection: build a four stage risk funnel and use persistent visitor IDs and auditable signals to cut fake accounts.
Developer Playbook: Selenium Detection as a Five Signal Classification
Developer-first playbook for Selenium detection across five signal groups: JavaScript flags, CDP artifacts, rendering, network, and behavior.
Engineers & Fraud Ops: Reduce False Positives with 0–100 Proxy Scores
Implementation focused proxy detection for engineers and fraud teams: APIs, caching, TLS fingerprints, and a 0–100 confidence model to cut false positives.
Headless Browser Detection Before JS Runs: JA4 for Dev & Security
Dev & Sec teams: detect headless browsers early with JA4/HTTP2 fingerprints, WebGL and CDP timing; includes test-harness practices and risk scoring.
Measure First: Reduce False Positives, Keep Coverage for Fraud Ops
Playbook for fraud teams: measure rule-level false positives, run shadow tests and regression checks, then add visitor ID signals to cut noise.
Carding Attack Detection: 5 High Confidence Signals for Fraud Ops
Operations first playbook to detect card testing: five signals and controls to stop cash out. With ShieldLabs' 5,000 free IDs (one time).
4 Steps to Passive Authentication for Engineers (sub-100ms)
Integration-ready guide for engineering teams adding passive signals to a risk-based auth stack: the four-stage flow and sub-100ms latency targets.
Start Visitor Identification in 5 Minutes: Validate with 5,000 Live IDs
Practical playbook for fraud and product teams deploying visitor identification: prioritized engineering checks, monitoring rules, and vendor evaluation.
How to detect invalid traffic (IVT): types, causes, and signals
How to detect invalid traffic (IVT): the GIVT vs SIVT split, what causes it, and the signals advertisers use to catch the traffic draining ad budgets.
The 11 best ecommerce fraud prevention tools for small businesses in 2026
Compare 11 ecommerce fraud prevention tools for small businesses in 2026 by pricing, signal depth, and self-serve fit, plus a framework to choose.
How to detect ad fraud: types, cost, and the signals that catch it
How to detect ad fraud: the fake clicks, impressions, installs, and leads that drain ad budgets, what each type costs, and the signals that catch them.
15 best VPN and proxy detection tools for fraud prevention in 2026
Compare the best VPN and proxy detection tools for fraud prevention in 2026: what each detects, residential-proxy coverage, pricing, and how to choose.