Security Scan Report: getdesigndegrees.com

Redirected to: https://getdesigndegrees.com/graphic-design?tracking_id=6947871&transaction_id=e8355e9a82964a08ae8120ad59e5a5d6

Submitted: Jan 21, 2026, 10:46:03 PMCompleted: Jan 21, 2026, 10:47:32 PMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 1 country across 7 domains to perform 22 HTTP transactions. The main domain is getdesigndegrees.com and was registered NaN years ago.

Submitted URL: https://getdesigndegrees.com

Effective URL: https://getdesigndegrees.com/graphic-design?tracking_id=6947871&transaction_id=e8355e9a82964a08ae8120ad59e5a5d6Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate educational site with a standard login; no security concerns detected.

Safety Factors
Well‑established domain (>9 years)
No malicious Indicators of Compromise matches
No payment collection forms
Standard login form for account creation
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

Learn to Become a Graphic Designer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'getdesigndegrees.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'getdesigndegrees' covers 16 characters containing 6 vowels alongside 10 consonants. Splitting it apart reveals 3 words: get, design, degrees. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://getdesigndegrees.com

Page Load Overview

2.91s
Total Load Time
27
HTTP Requests
8
Domains
1.4 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:2,642 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.141.136United States
AS15169GOOGLE
5188.114.97.3United States
AS13335CLOUDFLARENET
5216.58.206.74United States
5104.17.25.14United States
AS13335CLOUDFLARENET
552.9.147.93San Jose, California, United States
AS16509AMAZON-02
275--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C63D735B4B2883611BF78A5F1A6670530A7C30B83C277F5F008A9A5879DD5E8D23B9D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vZDQcdPzLtqVstm4KoK/7Vr93GA0kBUZwF8:vzzLtBXKRDGALBUSm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73149:AC3dhQDVQgJIJIQEAUAIFMYAMCEeAhpQBALQ8EgRYIADEZCJRkSwKLCBykACAMCUciETmBMJgAB+ggsho4UAEsgICYKJECCO

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:00000c0c0c0c00ff
Perceptual Hash:9b1be46c9c2c939a
Difference Hash:47d95959f959410f
Wavelet Hash:816c0c0c3c0cffff
Color Hash:#d8e06c

Scan History

Scan history not available

Unable to load historical scan data