Playwright

Developer Releases PhishIntel Open-Source Tool for Phishing Site Analysis and Risk Scoring

A developer has published PhishIntel, a lightweight Python-based OSINT application designed to analyze domains and evaluate phishing risk. The tool performs extensive checks including domain structure analysis, DNS records, RDAP and WHOIS data, TLS certificates, HTTP redirects, page content, security headers, and JavaScript static analysis. It generates structured JSON reports containing risk scores with explanatory indicators. Optional integrations with VirusTotal, Google Safe Browsing, URLhaus, Nmap, Nuclei, ZAP, and Playwright enable reputation checks, dynamic browser analysis, and active scanning. The project aims to help identify suspicious sites used in schemes such as the recent fake fuel sales campaign that defrauded victims of at least 3.7 million rubles. The author invites feedback from security professionals to improve the codebase.

YooMoney's YuScan Automates E-commerce Risk Assessment Scanning Up to 1,000 Sites Per Hour

YooMoney has detailed the inner workings of its YuScan service, an automated auditing tool designed to help banks and payment providers identify websites that conceal prohibited or high-risk activities. Since 2020 the system has processed more than 550,000 merchant applications without resulting in any fines for servicing illegal operations. YuScan builds comprehensive site maps, executes JavaScript, and handles dynamic content using Playwright combined with Camoufox to evade modern anti-bot protections such as Cloudflare. The crawler is built on Scrapy with FastAPI and PostgreSQL, then applies ML models, embeddings, and LLMs to analyze text, images, reviews, and external signals including Roskomnadzor registries and WHOIS data. The automation has reduced manual review time dramatically, allowing half of compliant merchants to begin accepting payments within 24 hours. YooKassa now offers the service to other banks through NSPK, the operator of the Mir payment system.

Building a Minimalist UI Test Framework with Playwright and Pytest

Vladislav Timashenkov from InfoWatch presents a practical approach to constructing a concise UI automation testing framework using Playwright. The article focuses on leveraging native Playwright features instead of creating additional abstraction layers. It covers launching a Chromium browser once per session, handling authentication via API calls to obtain cookies, and managing isolated BrowserContext instances for test independence. Readers learn how to implement Page Object models that rely on Playwright's built-in locators and auto-waiting mechanisms. The tutorial includes real code examples for fixtures, context factories, and a sample test for tag management functionality. This method reduces maintenance overhead while ensuring tests remain scalable across different environments.

Bots Now Form Over Half of Global Internet Traffic in 2025, Driving API Attacks and Business Metric Distortion

Automated clients generated more than 50% of analyzed internet traffic in 2025, with malicious bots responsible for 40% of the total volume. AI-enabled automation attacks increased 12.5 times year-over-year, while daily API attacks rose 113% according to Akamai data. Simple scripts still dominate volume at 59% of bot traffic, yet sophisticated botnets exceeding 4.5 million devices now distribute activity across residential proxies and compromised endpoints. Credential stuffing, scraping, and transaction abuse continue to target business logic rather than software vulnerabilities, distorting analytics, inflating infrastructure costs, and degrading user experience. Cloudflare reports that 20% of verified bot traffic now comes from AI crawlers, blurring lines between beneficial and harmful automation. Organizations must classify bots by intent, delegation, and business impact instead of relying on IP reputation or single signals such as User-Agent strings.