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Security Scan Report: nesihetler-medresesi-s2em0jna09.edgeone.app

Submitted: Feb 25, 2026, 12:49:59 AMCompleted: Feb 25, 2026, 12:51:30 AMpubliccompleted
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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 nesihetler-medresesi-s2em0jna09.edgeone.app and was registered NaN years ago.

Submitted URL: https://nesihetler-medresesi-s2em0jna09.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Login page on a newly created subdomain with no legitimate content suggests credential phishing.

Risk Factors
New/unknown subdomain age
Credential collection form on a newly created subdomain
Low domain reputation
Hosted on a free/shared platform without supporting content
Domain age information unavailable

Details

Page Title

Nəsihətlər Mədrəsəsi

Scan Type

public

Language

🇹🇷

Turkish

(39% confidence)

Category

government public service

(47%)

Domain Information

The domain name 'nesihetler-medresesi-s2em0jna09.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'nesihetler-medresesi-s2em0jna09'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nesihetler-medresesi-s2em0jna09.edgeone.app/

Page Load Overview

1.60s
Total Load Time
8
HTTP Requests
3
Domains
521 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
243.152.26.58Singapore
AS139341ACE
2142.251.208.163United States
AS139341
22.16.10.182United StatesUnknown
2142.251.141.106United StatesUnknown
84--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C22B71A95B2041E250342B8F3E2AB18323DE247D90BCDBCB79C61E29F01DDD99DF694

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6SlM7ED4a+0AvQm03mjDBj5HtKaNKsdC/PFaq80adokaVtaRraTi9WHUH8wf3ORx:63tOZakfjRlOZk1vpVCB6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10822:ykKaOCIaTmIdABkRECkkADg8CKCIknAkAkANABEgIASgKEIM2AryShtnpkUDAM3gAIMlwcgyBByFEHFYNJzEOoRaImLSAABw

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:3f2763c2c8c0e4fc
Color Hash:#d2bb79

Other Hashes

Crop Resistant:e0cd4d4c204c4c30,4d31331161616101

Scan History

Scan history not available

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