Security Scan Report: georgia-institute.pages.dev

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https://georgia-institute.pages.dev/GIC%20_%20Beauty%20School%20in%20C...
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Submitted: Sep 8, 2026, 6:17:43 AMCompleted: Sep 8, 2026, 6:18:51 AMpubliccompleted

Summary

This website contacted 5 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is georgia-institute.pages.dev and was registered 29 years ago.

Submitted URL: https://georgia-institute.pages.dev/GIC%20_%20Beauty%20School%20in%20Cumming,%20Georgia.%20Beauty%20School%20in%20Athens,%20Georgia.%20Beauty%20School%20in%20Gainesville,%20Georgia.%20Beauty%20School%20in%20Martinez,%20Georgia.%20Beauty%20School%20in%20Sugar%20Hill,%20Georgia%20Buford%20%E2%80%93%20The%20Georgia%20Institute%20of%20Cosmetology_files/anchor.html

Effective URL: https://georgia-institute.pages.dev/GIC%20_%20Beauty%20School%20in%20Cumming,%20Georgia.%20Beauty%20School%20in%20Athens,%20Georgia.%20Beauty%20School%20in%20Gainesville,%20Georgia.%20Beauty%20School%20in%20Martinez,%20Georgia.%20Beauty%20School%20in%20Sugar%20Hill,%20Georgia%20Buford%20%E2%80%93%20The%20Georgia%20Institute%20of%20Cosmetology_files/anchorRedirected

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

The page shows no credential collection but has a high‑severity phishing IDS alert and is on an unranked shared subdomain, warranting moderate risk.

Risk Factors
Unranked domain with unknown age
High severity phishing IDS alert
Hosted on free subdomain platform (pages.dev)
Domain age information unavailable

Details

Page Title

reCAPTCHA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(77%)

Domain Information

Domain 'georgia-institute.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'georgia-institute'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus three consonants. Word splitting yields 1 word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://georgia-institute.pages.dev/GIC%20_%20Beauty%20School%20in%20Cumming,%20Georgia.%20Beauty%20School%20in%20Athens,%20Georgia.%20Beauty%20School%20in%20Gainesville,%20Georgia.%20Beauty%20School%20in%20Martinez,%20Georgia.%20Beauty%20School%20in%20Sugar%20Hill,%20Georgia%20Buford%20%E2%80%93%20The%20Georgia%20Institute%20of%20Cosmetology_files/anchor.html

Page Load Overview

0.93s
Total Load Time
11
HTTP Requests
4
Domains
68 KB
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:235 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service77% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
77%
technology software
74%
healthcare medical
70%
news media journalism
69%
adult content
63%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.44.69Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.151.119Google · CDNUnited States
AS15169Google LLC
2192.178.183.94Google · CDNUnited States
AS15169Google LLC
2172.66.47.187Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.13.94Google · CDNUnited States
AS15169Google LLC
115--

Page Statistics

11
Requests
4
Unique Domains
540.2 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE72FD500817440197835CE223CD7F31FE5E92017245D0B1ABFCAB6BEEDBDA692693AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Hj5ZjCjNjNjoEjlqY4WjmjWjrj5CjZjmjmjo7jlqY49jNj9jHj5mjNjCjCjoXjld:HvWBZ8EhhCqX49qC87hKZB7MJem8Xh+K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16833:BIEWQOwKHLABIKXPC5AAngkMAR0FKDgJG5BHCMkaURE4RkYWJ8g8U+AAYEASSyzIAgCNihAAEggALEDYHDRAggwOFxeiIS4B

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:3f7fffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:d0c0000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#79d2c5

Other Hashes

Crop Resistant:d0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data