Summary
This website contacted 11 IPs in 1 country across 11 domains to perform 1 HTTP transaction. The main domain is intercom.com and was registered NaN years ago.
Submitted URL: https://f0t2ntjs-ios.mobile-messenger.intercom.com
Effective URL: https://www.intercom.com/admins/sign_inRedirected
The Cisco Umbrella rank of the primary domain is #6,337 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate Intercom 404 page; no security concerns detected.
Safety Factors
Details
Page Title
Customer messaging apps for sales, marketing, and support
Scan Type
public
Language
English
Category
technology software
(42%)Domain Information
The domain name 'f0t2ntjs-ios.mobile-messenger.intercom.com' uses the commercial generic top-level domain (.com) and includes subdomain 'f0t2ntjs-ios.mobile-messenger'. Its registrable label 'intercom' stretches across 8 characters containing three vowels alongside five consonants. Breaking it apart gives 1 word: intercom. The median word length lands at eight characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 23 | 142.250.201.72 | United States | |
| 13 | 18.97.36.27 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 13 | 34.160.81.0 | Kansas City, Missouri, United States | AS396982Google LLC |
| 13 | 65.9.175.117 | Unknown | |
| 13 | 146.75.122.132 | Unknown | |
| 13 | 13.33.187.16 | Unknown | |
| 13 | 108.138.26.90 | Unknown | |
| 13 | 2.17.100.184 | Unknown | |
| 13 | 50.19.118.232 | Unknown | Unknown |
| 13 | 216.58.206.78 | Unknown | Unknown |
| 153 | 11 | - | - |
Detected Technologies17
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
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