Security Scan Report: naughty-pink-tmphkji4fi-l79yi45e08.edgeone.app

Submitted: Mar 24, 2026, 6:52:25 PMCompleted: Mar 24, 2026, 6:53:40 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is naughty-pink-tmphkji4fi-l79yi45e08.edgeone.app and was registered NaN years ago.

Submitted URL: https://naughty-pink-tmphkji4fi-l79yi45e08.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

No suspicious activity detected; the site appears benign.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Low JavaScript obfuscation score (standard minification)
Hosted on a reputable hosting platform (edgeone.app)
No external domains or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

healthcare medical

(33%)

Domain Information

Within the application-focused generic top-level domain (.app), 'naughty-pink-tmphkji4fi-l79yi45e08.edgeone.app' is registered, featuring subdomain 'naughty-pink-tmphkji4fi-l79yi45e08'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. It segments into 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://naughty-pink-tmphkji4fi-l79yi45e08.edgeone.app/

Page Load Overview

0.36s
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:102 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

healthcare medical33% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
33%
documentation technical
32%
cryptocurrency blockchain
26%

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

T16912D8CAEBE305C8681BC4681FFF5725222DE053D448C95DB99E0F648F0518475FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBXhWh1RaXQl:KrzhNK/lMHmGgdkqCwd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9658:IUUC1nAiBQMQtBUUIU2olIAiCAC8DQUAMFINhABCiDBwAYEYUMe0wwKAHYdCQMaAgTqcVQQmSEJaFAhBZAIGCCoDOCaWAGEh

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030780000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#8cc587

Other Hashes

Crop Resistant:3030780000000000

Scan History

Scan history not available

Unable to load historical scan data