Security Scan Report: freqz.netlify.app

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Submitted: Aug 13, 2026, 12:45:51 AMCompleted: Aug 13, 2026, 12:49:53 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

This page runs a device-code sign-in lure used to take over accounts — rated high risk on that basis.

Risk Factors (2)
Unknown subdomain creation date (could be newly created)
Unranked domain in Cisco Umbrella
Domain age information unavailable

Details

Page Title

Sign in to your Account

Scan Type

public

Domain Name Analysis

The domain 'freqz.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'freqz'. The core label 'netlify' covers 7 characters holding two vowels versus five consonants. Segmentation suggests 3 words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://freqz.netlify.app/

Page Load Overview

0.60s
Total Load Time
55 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:39 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
563.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
51--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F6110E05DCD48833132645C034F3BE04ABC5875ADF090D52A3EAA3D82BDCE92D95FC15

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nvXg6gbqC5a1KWyV0mx7EGxmiat/E6/WEhQDSASTme:nvXEO12x7NKM8QD/STJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1019:AAgAEAAABgAgAAAAAAAAAACAASAAQAAAAAAQAIAAEAAACAAIAAAAQAAAAAAQUAAAEAAAAAAAAAAQACAAAAAgAAAAAAAAAAAA

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:0000001818000000
Perceptual Hash:cccc3333cccc3333
Difference Hash:0000083430080000
Wavelet Hash:30303c3cf8f0f0f0
Color Hash:#86742d

Other Hashes

Crop Resistant:0000083430080000

Scan History

Scan history not available

Unable to load historical scan data