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Security Scan Report: somanhyehezo.pages.dev

Redirected to:
https://somanhyehezo.pages.dev/public/?lang=de
Submitted: Aug 4, 2026, 12:45:20 PMCompleted: Aug 4, 2026, 12:48:08 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is somanhyehezo.pages.dev and was registered NaN years ago.

Submitted URL: https://somanhyehezo.pages.dev/public

Effective URL: https://somanhyehezo.pages.dev/public/?lang=deRedirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site mimics Instagram but lacks forms; unknown subdomain age and no reputation make it moderately risky.

Risk Factors
Brand impersonation without legitimate branding
Unknown subdomain age on a hosting platform
Unranked domain with no reputation
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Instagram

Scan Type

public

Language

🇩🇪

German

(51% confidence)

Category

finance banking

(62%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'somanhyehezo.pages.dev' is registered, featuring subdomain 'somanhyehezo'. The core label 'pages' covers 5 characters split between two vowels and 3 consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://somanhyehezo.pages.dev/public

Page Load Overview

5.86s
Total Load Time
12
HTTP Requests
2
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:51%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,238 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as de

Website Classification

Primary Category

finance banking62% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
62%
adult content
47%
government public service
37%
news media journalism
37%
phishing scam
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2178.156.180.123Ashburn, Virginia, United States
AS213230Hetzner Online GmbH
2104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.68.242.180Olsztyn, Warmia-Masuria, Poland
AS197226sprint S.A.
2104.20.44.133Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.47.126Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
126--

Page Statistics

12
Requests
2
Unique Domains
24.6 KB
Total Size

Detected Technologies3

HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EAF22A2BB150133FC6D736F838D343C53235A209A6856064ADAC5C24625FDE9E97BEEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Xcr20/AgcmCmtZKy29dIPHpYzf54w+x0FpE1dY26D:X020/AgcmCSZKymGQh4n6pE1d36D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36352:FpYGmVRgDbPCB1DJKIBgiQyCIgEUBogUyCqDZGEFEBCkcISwobBJpCCgQAAAJqpinCFgHSFOICwtLTChWNIigQ+QghGAQSJb

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:00183c3c3c3c1800
Perceptual Hash:9999666666669999
Difference Hash:0c32b2b2b2b2320c
Wavelet Hash:003c3c3c3c3c3c00
Color Hash:#931f3c

Other Hashes

Crop Resistant:b0b6b2f0e29a9ab0,0c32b2b2b2b2320c

Scan History

Scan history not available

Unable to load historical scan data