Security Scan Report: exciting-aquamarine-ca4ste4vjj-88ge6wlb1f.edgeone.app

Submitted: Mar 23, 2026, 4:38:00 PMCompleted: Mar 23, 2026, 4:39:24 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is exciting-aquamarine-ca4ste4vjj-88ge6wlb1f.edgeone.app and was registered NaN years ago.

Submitted URL: https://exciting-aquamarine-ca4ste4vjj-88ge6wlb1f.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

No malicious activity detected; the site appears benign.

Safety Factors
Hosted on reputable edgeone.app platform
No login, payment, or data‑collecting forms
No cross‑origin credential exfiltration
Page title and OCR text show no brand impersonation
Domain age information unavailable

Details

Page Title

Sorry Manish đź’”

Scan Type

public

Language

🇨🇳

Chinese

(6% confidence)

Category

healthcare medical

(44%)

Domain Information

The domain 'exciting-aquamarine-ca4ste4vjj-88ge6wlb1f.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'exciting-aquamarine-ca4ste4vjj-88ge6wlb1f'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Word splitting yields two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://exciting-aquamarine-ca4ste4vjj-88ge6wlb1f.edgeone.app/

Page Load Overview

0.47s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:6%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:6%
Script Type:Han
HTML Lang Attribute:en
Text Length:82 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

healthcare medical44% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
44%
news media journalism
42%
adult content
31%
finance banking
28%

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

T11C71127689130D11802FC293696A07A868744747EA475F64B3FC931BEF81D68B7177B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TlY+YhFeaSmojocwChgytHuctF6vNWUNJJ:ZY+YhFeaBoscwChHtHuctAvNWUNJJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3609:DQgQAAMwAAQKAAQBAAQCAADAAAADBAAEAAQBQhgAAQAACEABAAgBIYFMCAEQBCEABiEQDAbAACJEKAAOQCAAFAIIUgCIBAAA

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:ffffffe7e7ffffff
Perceptual Hash:f28ccc3a72998d33
Difference Hash:000010080c100000
Wavelet Hash:0e263d25849de3f2
Color Hash:#78931f

Other Hashes

Crop Resistant:000010080c100000

Scan History

Scan history not available

Unable to load historical scan data