Security Scan Report: regal-unicorn-611acc.netlify.app

Submitted: Jul 30, 2026, 3:50:33 PMCompleted: Jul 30, 2026, 3:51:53 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Site not foundsecondary capture

Scan Type

public

Domain Name Analysis

The domain 'regal-unicorn-611acc.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'regal-unicorn-611acc'. The registrable portion 'netlify' spans 7 characters split between two vowels and 5 consonants. Tokenizing the label suggests three words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://regal-unicorn-611acc.netlify.app/nwk.html

Page Load Overview

0.42s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:312 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E6162A9C41A203F6D97681F13A4CA4D60297607DD9257D8FFEA53ACD2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoX4:TGHwyA2qlRYZJ3RoXIs+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUBCEAEQAQAAAiAEAAAACAIAAAAAARA

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:ffffe7e7e7e7ffff
Perceptual Hash:b364cc9b334c9933
Difference Hash:00000c0c0c080000
Wavelet Hash:3c3c242427270f0f
Color Hash:#c5a687

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data