Security Scan Report: mofezz.netlify.app

Redirected to:
https://mofezz.netlify.app/
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Submitted: Jul 26, 2026, 12:45:36 AMCompleted: Jul 26, 2026, 12:50:31 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is mofezz.netlify.app and was registered NaN years ago.

Submitted URL: http://mofezz.netlify.app/

Effective URL: https://mofezz.netlify.app/Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

The site is flagged by Google Safe Browsing for social engineering and shows a login‑style title on an unranked Netlify subdomain, indicating a high‑risk phishing page.

Risk Factors
Safe Browsing phishing indicator
Unranked subdomain on a hosting platform
Unknown subdomain age
Domain age information unavailable

Details

Page Title

Sign in to your Account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'mofezz.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'mofezz'. Count 7 characters in 'netlify' containing two vowels alongside 5 consonants. Splitting it apart reveals 3 words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://mofezz.netlify.app/

Page Load Overview

0.94s
Total Load Time
6
HTTP Requests
1
Domains
34 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: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
635.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
61--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB110E05DCD58833132645C034F3BE04ABC5875ADF090D52A3EAA3D82BDCE92D95FC61

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nvXg6gbqC5a1KWDuNV0mx7EGxmiat/E6/WEhQDSASTme:nvXEO1E/x7NKM8QD/STJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1019:AAgAEAAABgAAAAAAAAAAAACAASAAQAAAAAAQAIAAEAAACAAIAAAAQAAAAAAQUAAAEEAAAAAAAAAQACAAAAAgAAAAAAAAAAAA

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:#21931f

Other Hashes

Crop Resistant:0000083430080000

Scan History

Scan history not available

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