Summary
This website contacted 10 IPs in 1 country across 4 domains to perform 7 HTTP transactions. The main domain is glamswag.cmail19.com.
Submitted URL: https://tinyurl.com/E6RE9ERR#2191357392544462233.3.CAZ2751793899
Effective URL: https://glamswag.cmail19.com/t/j-u-sttihjy-hlltvthhr-k/#ggESRRedirected
The Cisco Umbrella rank of the primary domain is #23,433 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate unsubscribe page with no security concerns.
Safety Factors
Details
Page Title
Unsubscribe from this list
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
You're looking at domain 'tinyurl.com' on the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'tinyurl' covers 7 characters holding 2 vowels versus 5 consonants. Splitting it apart reveals one word: tinyurl. 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 |
|---|---|---|---|
| 3 | 52.52.200.2 | San Jose, California, United States | AS16509AMAZON-02 |
| 2 | 3.167.227.87 | United States | AS16509AMAZON-02 |
| 1 | 104.18.111.161 | United States | AS13335CLOUDFLARENET |
| 1 | 3.167.227.118 | United States | AS16509AMAZON-02 |
| 0 | 3.167.227.35 | United States | AS16509AMAZON-02 |
| 0 | 18.144.134.156 | San Jose, California, United States | AS16509AMAZON-02 |
| 0 | 2606:4700::6811:70e9 | United States | AS13335CLOUDFLARENET |
| 0 | 104.17.112.233 | United States | AS13335CLOUDFLARENET |
| 0 | 3.167.227.19 | United States | AS16509AMAZON-02 |
| 0 | 2606:4700::6812:6fa1 | United States | AS13335CLOUDFLARENET |
| 7 | 10 | - | - |
Detected Technologies4
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
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