Security Scan Report: gmenhq.com

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Submitted: Nov 4, 2025, 6:21:25 PMCompleted: Nov 4, 2025, 6:24:42 PMpubliccompleted
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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%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with long registration history
Absence of credential or payment collection fields
Content appears to be standard sports news without deceptive tactics
Domain age information unavailable

Details

Page Title

Giants could turn struggling first-round flop into sneaky trade swing

Scan Type

public

Language

🇺🇸

English

(80% confidence)

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

Security scan screenshot of https://gmenhq.com/new-york-giants-could-turn-struggling-first-round-flop-into-sneaky-trade-swing-deonte-banks

Page Load Overview

2.95s
Total Load Time
401
HTTP Requests
49
Domains
2.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:22,290 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: static
Method: structural

All Detected Categories

news/blog
70%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22818.66.122.84United States
AS16509AMAZON-02
112104.18.32.137United States
AS13335CLOUDFLARENET
2523.50.131.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1799.84.152.112United States
AS16509AMAZON-02
1679.127.216.204Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
16172.64.155.119United States
AS13335CLOUDFLARENET
9172.66.152.95United States
AS13335CLOUDFLARENET
852.222.136.49United States
AS16509AMAZON-02
654.186.4.230Boardman, Oregon, United States
AS16509AMAZON-02
5142.250.186.130United States
AS15169GOOGLE
401290--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124344B3B52049F3B45535684E8B3B901B0AA20DBD69584C8F6DEDE1867CEFE492235FC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VvtPRuGPJNQOwyvEzWJkh3pLgkr5DcrSQzznvFPY50oViH82RDhQQQQQFQQQQQQ0:VfuGPJNQjzWJkhFtdDcrSQk4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:239235:dAAsZxNARggWCAYDJyIWYCALICPLNKGOBDCCAAQAMJagpQiicCKGEMCIEBgZ8xeCAvilMguSDuggwOcE4Q4ADBAKhgJELMAA

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

Average Hash:fffffff0e0e0e0c0
Perceptual Hash:e39cb1664c49bba2
Difference Hash:808493a30149810b
Wavelet Hash:7e7f7ff0e0e0c000
Color Hash:#2d8643

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data