Summary
This website contacted 25 IPs in 3 countries across 12 domains to perform 135 HTTP transactions. The main domain is intercom.com and was registered NaN years ago.
Submitted URL: https://cx1ywgf2.intercom-messenger.com
Effective URL: https://www.intercom.com/admins/sign_inRedirected
The Cisco Umbrella rank of the primary domain is #15,394 of the top 1 million websites
AI Security Verdict
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 'cx1ywgf2.intercom-messenger.com' uses the commercial generic top-level domain (.com), featuring subdomain 'cx1ywgf2'. The second-level label 'intercom-messenger' is 18 characters long split between 6 vowels and 11 consonants, plus one hyphen. Segmentation suggests 2 words: intercom, messenger. Median word length comes out to 8.5 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 |
|---|---|---|---|
| 108 | 13.33.235.87 | New York, New York, United States | AS16509AMAZON-02 |
| 15 | 216.58.210.168 | United States | AS15169GOOGLE |
| 7 | 18.97.36.92 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 18.97.36.39 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 13.33.235.71 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 3.164.206.53 | United States | AS16509AMAZON-02 |
| 5 | 13.33.235.7 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 13.33.235.61 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 13.33.235.72 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 18.97.36.33 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 135 | 25 | - | - |
Detected Technologies2
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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