Security Scan Report: nesihetler-medresesi-e96b8jtdkr.edgeone.app

Submitted: Mar 28, 2026, 5:56:44 PMCompleted: Mar 28, 2026, 5:58:05 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is nesihetler-medresesi-e96b8jtdkr.edgeone.app and was registered NaN years ago.

Submitted URL: https://nesihetler-medresesi-e96b8jtdkr.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

New subdomain with a login form and poor reputation; likely credential phishing – do not provide credentials.

Risk Factors
Login form with password field on a brand‑new subdomain
Subdomain hosted on a free platform (edgeone.app) with unknown age
Low domain reputation (Cisco Umbrella rank 455,732)
Garbled OCR text indicating possible phishing content
Critical domain age (≤7 days) with credential collection
Domain age information unavailable

Details

Page Title

Nəsihətlər Mədrəsəsi

Scan Type

public

Language

🇹🇷

Turkish

(37% confidence)

Category

education learning

(50%)

Domain Information

You're looking at domain 'nesihetler-medresesi-e96b8jtdkr.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'nesihetler-medresesi-e96b8jtdkr'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. It segments into two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nesihetler-medresesi-e96b8jtdkr.edgeone.app/

Page Load Overview

1.15s
Total Load Time
11
HTTP Requests
4
Domains
595 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
543.152.26.58Singapore
2142.251.208.3United States
AS15169Google LLC
2172.217.16.202United States
AS15169Google LLC
245.43.142.2UnknownUnknown
114--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13112D8215205393D6A038BF4F1A1B37860AED34FDF5F992CF2BC41A15B85C96D8672E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6SmMiED4aztCb91FMJoTtlMi1DdP4uWSbGwuY+yjFh/rwYs1kuvyB4u8:43FhDddzs1kuvyB58

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9702:JRWj48zEwEg+shgCVINECUIwMCUggRphCdykQBMIACAAOAAFxCMgKziYRYiUhBAgYNAApsjCLugqWMSZISGTfGCBQIgKgQaA

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:e6ccd93366cc2233
Difference Hash:00080c084d0c0008
Wavelet Hash:3e27272727270707
Color Hash:#53ac72

Other Hashes

Crop Resistant:00080c084d0c0008

Scan History

Scan history not available

Unable to load historical scan data