Summary
This website contacted 290 IPs in 7 countries across 49 domains to perform 401 HTTP transactions. The main domain is gmenhq.com and was registered NaN years ago.
Submitted URL: https://gmenhq.com/new-york-giants-could-turn-struggling-first-round-flop-into-sneaky-trade-swing-deonte-banks
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Giants could turn struggling first-round flop into sneaky trade swing
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
Domain 'gmenhq.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'gmenhq' is 6 characters long with 1 vowel and five consonants. Tokenizing the label suggests three words: g, men, hq. Median word length comes out to 2 characters. The linguistic tilt is Danish for 'g'. Usage also turns up in English and Chinese (Pinyin) contexts. Taken together, it feels Danish.
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 |
|---|---|---|---|
| 228 | 18.66.122.84 | United States | AS16509AMAZON-02 |
| 112 | 104.18.32.137 | United States | AS13335CLOUDFLARENET |
| 25 | 23.50.131.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 99.84.152.112 | United States | AS16509AMAZON-02 |
| 16 | 79.127.216.204 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 16 | 172.64.155.119 | United States | AS13335CLOUDFLARENET |
| 9 | 172.66.152.95 | United States | AS13335CLOUDFLARENET |
| 8 | 52.222.136.49 | United States | AS16509AMAZON-02 |
| 6 | 54.186.4.230 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 5 | 142.250.186.130 | United States | AS15169GOOGLE |
| 401 | 290 | - | - |
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
Unable to load historical scan data