Security Scan Report: difficult-white-k0oyy4jiy0-6jlu95oqjj.edgeone.app

Submitted: Feb 24, 2026, 11:02:28 PMCompleted: Feb 24, 2026, 11:03:51 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is difficult-white-k0oyy4jiy0-6jlu95oqjj.edgeone.app and was registered NaN years ago.

Submitted URL: https://difficult-white-k0oyy4jiy0-6jlu95oqjj.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Suspicious login page on a newly created hosting subdomain; likely credential phishing.

Risk Factors
Credential‑harvesting login form on a brand‑new subdomain
Hosting platform subdomain with unknown age
Low domain reputation (ranked > 400k in Cisco Umbrella)
No legitimate content or organizational context visible
Domain age information unavailable

Details

Page Title

Nəsihətlər Mədrəsəsi

Scan Type

public

Language

🇹🇷

Turkish

(39% confidence)

Category

government public service

(47%)

Domain Information

Within the application-focused generic top-level domain (.app), 'difficult-white-k0oyy4jiy0-6jlu95oqjj.edgeone.app' is registered with subdomain 'difficult-white-k0oyy4jiy0-6jlu95oqjj'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://difficult-white-k0oyy4jiy0-6jlu95oqjj.edgeone.app/

Page Load Overview

0.77s
Total Load Time
8
HTTP Requests
3
Domains
522 KB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:39%
Script:Latin
Direction:ltr

Detection Details

Language Code:tr
Detection Confidence:39%
Script Type:Latin
HTML Lang Attribute:az
Text Length:86 chars
Detector Agreement:50%
Language mismatch: Declared as az but detected as tr

Website Classification

Primary Category

government public service47% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
47%
adult content
40%
healthcare medical
32%
education learning
30%
news media journalism
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.187.202United States
AS15169Google LLC
243.152.26.58Singapore
22.16.10.182United StatesUnknown
2142.251.141.131United States
AS15169Google LLC
84--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F22B71A95B2045E250342B8F3E2AB18323DE247D90BCDBCB79C61E29F01DDD99DF690

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6SlM7ED4a+0AvQm03mjDBj5HtKaNKsdC/PFaq80adokaVtaRraTi9WHUH8wf3ORO:63tOZahfjRlOZk1vpVCB6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10822:ykKKOCIaTmIdABkRECkkADi8CKCIknAkAkANABEgIASgKEIM2AryShtnpkUDAM3gAIMlwcgyBByFEHFYNJzEOoRaImLSAABw

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:ffe7e7e7ffe7e7ff
Perceptual Hash:f22288d999766673
Difference Hash:e0cd4d4c204c4c30
Wavelet Hash:3f2743c2c8c0e4fc
Color Hash:#9ae06c

Other Hashes

Scan History

Scan history not available

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