Summary
This website contacted 60 IPs in 2 countries across 15 domains to perform 100 HTTP transactions. The main domain is linqapp.com.
Submitted URL: https://linqapp.com/myvoicemailmessage8?r=link
Effective URL: https://linqapp.com/page-not-foundRedirected
The Cisco Umbrella rank of the primary domain is #518,403 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 80%
No suspicious activity detected; site appears legitimate.
Safety Factors
Details
Page Title
Linq App
Scan Type
public
Language
English
Category
technology software
(60%)Domain Information
You're looking at domain 'linqapp.com' on the commercial generic top-level domain (.com) with no subdomain. The core label 'linqapp' covers 7 characters with 2 vowels and five consonants. Breaking it apart gives three words: lin, q, app. Median word length comes out to 3 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 |
|---|---|---|---|
| 71 | 104.18.20.82 | United States | AS13335CLOUDFLARENET |
| 41 | 54.201.196.59 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 146.75.120.176 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 104.18.41.175 | United States | AS13335CLOUDFLARENET |
| 3 | 162.247.241.14 | United States | AS23467NEWRELIC-AS-1 |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 44.254.174.25 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 2 | 104.17.215.66 | United States | AS13335CLOUDFLARENET |
| 100 | 60 | - | - |
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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