Security Scan Report: 111-7v1.pages.dev

Submitted: Mar 31, 2026, 11:33:08 AMCompleted: Mar 31, 2026, 11:34:05 AMpubliccompleted
Loading additional data...

Summary

This website contacted 17 IPs in 3 countries across 12 domains to perform 51 HTTP transactions. The main domain is 111-7v1.pages.dev and was registered NaN years ago.

Submitted URL: https://111-7v1.pages.dev/awards/best-isp-gaming-experience/?

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

Informational page using Speedtest branding on an untrusted subdomain; no credential collection but brand mismatch warrants caution.

Risk Factors
Brand impersonation – Speedtest brand used on a non‑official domain
Subdomain on free hosting platform with unknown age
Unranked domain with low reputation
Safety Factors
No forms collecting passwords, emails, or payment data
No malicious Indicators of Compromise detected
JavaScript obfuscation likely due to normal minification; no malware patterns
Uses standard analytics and CDN services only
Domain age information unavailable

Details

Page Title

Best ISP Gaming Experience Speedtest Awards – 2025

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(39%)

Domain Information

The domain name '111-7v1.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain '111-7v1'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus 3 consonants. Word splitting yields 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://111-7v1.pages.dev/awards/best-isp-gaming-experience/?

Page Load Overview

2.98s
Total Load Time
51
HTTP Requests
12
Domains
2.1 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
Text Length:8,978 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
39%
entertainment media
33%
cryptocurrency blockchain
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.32.137United States
AS13335Cloudflare, Inc.
3146.75.122.219Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3104.18.86.42United States
AS13335Cloudflare, Inc.
323.207.210.145Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
354.161.163.67Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
323.36.162.25Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3172.66.47.160United States
AS13335Cloudflare, Inc.
3104.18.87.42United States
AS13335Cloudflare, Inc.
3142.251.13.97United States
AS15169Google LLC
354.158.201.48Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
5117--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138A4CF7011EE5ABF111F87C9EB28F226EBE2109FE4502DB0EEFC9FA94582D91F611445

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:iJT02ETAgZvkZUxF8m2uTXenV4JyjJwja+a0jcDZC0czbrTS62niODCNRbGchOm3:iV07AgZEUXBXzjjpa0U14ban8RbGlk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:471427:SAkAkAGIAURQBjLPmFQUGQyIIIAGAoAgCS4UTAEwLoCJAtASBiALECMBhLagA4HGhRCYg0BgIIEWEGgKEAaToA1k2TGpoBO4

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:007179697d7d657d
Perceptual Hash:aa7763771c371844
Difference Hash:ddc1d1d1e1d9c9e1
Wavelet Hash:007179417d7d617d
Color Hash:#2dd22f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data