Security Scan Report: disappointed-pink-wngj6wyang-nze1anhszo.edgeone.app

Submitted: Feb 19, 2026, 6:25:31 AMCompleted: Feb 19, 2026, 6:26:59 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is disappointed-pink-wngj6wyang-nze1anhszo.edgeone.app and was registered NaN years ago.

Submitted URL: https://disappointed-pink-wngj6wyang-nze1anhszo.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Site shows no malicious activity and is considered safe.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

disappointed-pink-wngj6wyang-nze1anhszo.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(66%)

Domain Information

Within the application-focused generic top-level domain (.app), 'disappointed-pink-wngj6wyang-nze1anhszo.edgeone.app' is registered, featuring subdomain 'disappointed-pink-wngj6wyang-nze1anhszo'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://disappointed-pink-wngj6wyang-nze1anhszo.edgeone.app/

Page Load Overview

3.14s
Total Load Time
4
HTTP Requests
3
Domains
31 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:357 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical66% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
66%
adult content
61%
government public service
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8Oldq:0hoC9JSqzzbs6o3Sj3gcrsg2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:cEkpD1SBICVCDD9QsBRtYCgrBKg5BsQgwMJSAJCBcFAIGgQEJRiikWAsCAMT3LHDGGUAFrmZAiBaUgwIQsQKgBA+oGAN3sBS

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#7c79d2

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data