ilsaronno.it Tech Stack
ilsaronno.it uses 92 technologies across 22 categories, including Cloudflare, HSTS, Bing Webmaster, DoubleClick, Facebook Pixel. The site is classified as News & Media. WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.
Website category: News & Media (90% confidence)
Technologies detected on ilsaronno.it
Infrastructure & Hosting
- Cloudflare (100% confidence)
- Redis Object Cache (100% confidence)
- WP Super Cache (100% confidence)
- WordPress Super Cache (100% confidence)
Security & Privacy
- HSTS (100% confidence)
- OneTrust (100% confidence)
- Stop User Enumeration (100% confidence)
- Quantcast Choice (30% confidence)
Advertising & Marketing
- Bing Webmaster (100% confidence)
- DoubleClick (100% confidence)
- Facebook Pixel (100% confidence)
- Google Ads (100% confidence)
- Yoast SEO (100% confidence)
- Yoast SEO Premium (100% confidence)
- DoubleClick Floodlight (100% confidence)
- Google Ad Manager (100% confidence)
- Google AdSense (100% confidence)
- Google Publisher Tag (100% confidence)
- Schema.org (100% confidence)
- Taboola (100% confidence)
- AMX RTB (100% confidence)
- Ad Generation (100% confidence)
- AdYouLike (100% confidence)
- Adform (100% confidence)
- Adman Media (100% confidence)
- Advertising.com (100% confidence)
- Amazon Publisher Services (100% confidence)
- AppNexus (100% confidence)
- Beachfront (100% confidence)
- Contextweb (100% confidence)
- Copper6 (100% confidence)
- Criteo (100% confidence)
- District M (100% confidence)
- EMX Digital (100% confidence)
- FreeWheel (100% confidence)
- GroundTruth (100% confidence)
- GumGum (100% confidence)
- Improve Digital (100% confidence)
- InMobi (100% confidence)
- Index Exchange (100% confidence)
- LoopMe (100% confidence)
- Magnite (100% confidence)
- Media.net (100% confidence)
- Ogury (100% confidence)
- OneTag (100% confidence)
- OpenX (100% confidence)
- Outbrain (100% confidence)
- PubMatic (100% confidence)
- RhythmOne (100% confidence)
- Rich Audience (100% confidence)
- Rise Codes (100% confidence)
- Rubicon Project (100% confidence)
- Sharethrough (100% confidence)
- Smaato (100% confidence)
- Smart AdServer (100% confidence)
- Smilewanted (100% confidence)
- Sonobi (100% confidence)
- Sovrn (100% confidence)
- SpotX (100% confidence)
- 33Across (100% confidence)
- Telaria (100% confidence)
- The Media Grid (100% confidence)
- Tremor Video (Unruly) (100% confidence)
- TripleLift (100% confidence)
- Triplelift Native (100% confidence)
- Unruly (100% confidence)
- Verve Group (100% confidence)
- Vi (100% confidence)
- Vidazoo (100% confidence)
- Xandr (100% confidence)
- Yahoo DSP (100% confidence)
- Yahoo Gemini (100% confidence)
- YieldMo (100% confidence)
- Yahoo Advertising (80% confidence)
Analytics & Tracking
- Google Analytics (100% confidence)
- Google Analytics 4 (100% confidence)
- Publytics (100% confidence)
JavaScript & Frameworks
- Lightgallery (100% confidence)
- Flickity (100% confidence)
- jQuery (100% confidence)
- jQuery Migrate (100% confidence)
WordPress
- TablePress (100% confidence)
- WP-Polls (100% confidence)
Communication & Engagement
- WhatsApp Chat Widget (100% confidence)
- ShareThis (100% confidence)
CMS & Site Builders
- WordPress (100% confidence)
Other
- Open Graph (100% confidence)
- Google Workspace (100% confidence)
Databases & Storage
- Redis (80% confidence)
- MySQL (80% confidence)
Development Tools
- PHP (80% confidence)
- Priority Hints (25% confidence)
ilsaronno.it is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T13:15:32.593Z
Frequently Asked Questions
- What technologies does ilsaronno.it use?
- ilsaronno.it uses 92 technologies including Cloudflare, HSTS, Bing Webmaster, DoubleClick, Facebook Pixel.
- What type of website is ilsaronno.it?
- ilsaronno.it is classified as a News & Media website.
- How is this data collected?
- WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.