Security Scan Report: adequate-emerald-nlt3hvkmhg-d3bret4n0f.edgeone.app

Submitted: Feb 27, 2026, 4:26:28 AMCompleted: Feb 27, 2026, 4:27:44 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is adequate-emerald-nlt3hvkmhg-d3bret4n0f.edgeone.app and was registered NaN years ago.

Submitted URL: https://adequate-emerald-nlt3hvkmhg-d3bret4n0f.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: 85%

8
Risk Score

Page impersonates Binance on a new low‑rank subdomain; likely phishing – avoid.

Risk Factors
Brand impersonation of Binance on a non‑official, low‑rank domain
Newly created subdomain on a free hosting platform (.edgeone.app)
Low domain reputation (Cisco Umbrella rank > 100k)
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

finance banking

(54%)

Domain Information

The domain name 'adequate-emerald-nlt3hvkmhg-d3bret4n0f.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'adequate-emerald-nlt3hvkmhg-d3bret4n0f'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. Splitting it apart reveals 2 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://adequate-emerald-nlt3hvkmhg-d3bret4n0f.edgeone.app/

Page Load Overview

0.85s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:53 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

finance banking54% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
54%
cryptocurrency blockchain
48%
news media journalism
36%
documentation technical
26%
real estate property
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE02D6CAEBA306C9A82BC0682FFF5724222DE057D448CD5DB99E1F548F4518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBJh1RaXQl:KrzhNK/lMHmGgdkqsd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8702:ICUD1nACRSMQNBUcAU3hhAIiaQaEDQQAMFALCCALyDKQAIEIDMR0wxOhKZcCAtaAgTicVQAmTEFaBghhAIJGCCqiOCaewgEF

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#87c5b7

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data