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Security Scan Report: nesihetler-medresesi-mnjrcc1gvy.edgeone.app

Submitted: Mar 30, 2026, 4:04:01 PMCompleted: Mar 30, 2026, 4:05:26 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 13 HTTP transactions. The main domain is nesihetler-medresesi-mnjrcc1gvy.edgeone.app and was registered NaN years ago.

Submitted URL: https://nesihetler-medresesi-mnjrcc1gvy.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: 95%

9
Risk Score

New edgeone.app subdomain with a login form; low reputation and obfuscated code indicate confirmed credential phishing.

Risk Factors
New subdomain on free hosting platform
Presence of credential‑collecting login form on a newly created domain
Low domain reputation/ranking
Highly obfuscated JavaScript code
Domain age information unavailable

Details

Page Title

Nəsihətlər Mədrəsəsi

Scan Type

public

Language

🇹🇷

Turkish

(37% confidence)

Category

education learning

(50%)

Domain Information

Domain 'nesihetler-medresesi-mnjrcc1gvy.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'nesihetler-medresesi-mnjrcc1gvy'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Word splitting yields two 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://nesihetler-medresesi-mnjrcc1gvy.edgeone.app/

Page Load Overview

6.05s
Total Load Time
11
HTTP Requests
4
Domains
626 KB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:37%
Script:Latin
Direction:ltr

Detection Details

Language Code:tr
Detection Confidence:37%
Script Type:Latin
HTML Lang Attribute:az
Text Length:173 chars
Detector Agreement:50%
Language mismatch: Declared as az but detected as tr

Website Classification

Primary Category

education learning50% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
50%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.127.94Singapore
AS15169
243.152.26.58Singapore
AS139341ACE
2142.250.154.95United States
AS15169Google LLC
245.43.142.7UnknownUnknown
114--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18012C8215205293D6A034BF4F1A1B37860AED34FDF5F992CF1BC41A15B85C96D8672E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6SmMiED4aztCb91FMJoTtlMi1ZdP4uWSbGwuY+yjFh/rwYs1kuvyB4u8:43FhZddzs1kuvyB58

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9702:JRWj48zEwEg+shgCVINECUIwMCUggRphCdykABMIACEAOAIFxCMgKziYRYiUhBAgYNAApsjCLugqWMSZISGTfGCBQIgKgQaA

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:ffffe7f7e7e7ffff
Perceptual Hash:f6cc993366cc2233
Difference Hash:00000c084d0c0008
Wavelet Hash:fee7e3e304042424
Color Hash:#e06c7f

Other Hashes

Crop Resistant:00000c084d0c0008

Scan History

Scan history not available

Unable to load historical scan data