Security Scan Report: pale-aquamarine-1y3udxilw6-l1nwkj3qwy.edgeone.app

Submitted: Feb 7, 2026, 11:44:28 AMCompleted: Feb 7, 2026, 11:45:43 AMpubliccompleted
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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 pale-aquamarine-1y3udxilw6-l1nwkj3qwy.edgeone.app and was registered NaN years ago.

Submitted URL: https://pale-aquamarine-1y3udxilw6-l1nwkj3qwy.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain (>365 days)
No malicious Indicators of Compromise
No forms or sensitive data collection
Low ranking but no brand impersonation or phishing indicators
Domain age information unavailable

Details

Page Title

pale-aquamarine-1y3udxilw6-l1nwkj3qwy.edgeone.app

Scan Type

public

Language

🇩🇪

German

(7% confidence)

Category

documentation technical

(96%)

Domain Information

The domain 'pale-aquamarine-1y3udxilw6-l1nwkj3qwy.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'pale-aquamarine-1y3udxilw6-l1nwkj3qwy'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Word splitting yields two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pale-aquamarine-1y3udxilw6-l1nwkj3qwy.edgeone.app/

Page Load Overview

7.16s
Total Load Time
11
HTTP Requests
3
Domains
244 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:7%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:7%
Script Type:Latin
HTML Lang Attribute:km
Text Length:1,594 chars
Detector Agreement:75%
Language mismatch: Declared as km but detected as de

Website Classification

Primary Category

documentation technical96% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
96%
education learning
75%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1143.152.26.58Singapore
111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ffQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsze2bMy8OldK:ghoC9JSqzzbs6o3Sj3gcrsq2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:W6CqMVEBClA9gPQ9HGAG8LARQSw0kGoEOzOSZQDBKRhWQJUMQIhogIQUOLQIgIEgJgAmxxIQWPZgVSYiQhqkYgDhfzHAQEBg

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:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#537aac

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data