Security Scan Report: squealing-orange-kic47zdnhb-u9fs1gj26u.edgeone.app

Submitted: Mar 12, 2026, 3:13:59 AMCompleted: Mar 12, 2026, 3:15:38 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is squealing-orange-kic47zdnhb-u9fs1gj26u.edgeone.app and was registered NaN years ago.

Submitted URL: https://squealing-orange-kic47zdnhb-u9fs1gj26u.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
No credential or payment collection forms
No JavaScript malware patterns detected
Hosted on a known development platform (edgeone.app) with no malicious activity
No cross‑origin credential exfiltration or suspicious network requests
Domain age information unavailable

Details

Page Title

Housewarming Invitation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

Within the application-focused generic top-level domain (.app), 'squealing-orange-kic47zdnhb-u9fs1gj26u.edgeone.app' is registered with subdomain 'squealing-orange-kic47zdnhb-u9fs1gj26u'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Tokenizing the label suggests 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://squealing-orange-kic47zdnhb-u9fs1gj26u.edgeone.app/

Page Load Overview

13.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:846 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
42%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.250.201.74Singapore
0142.250.186.67Singapore
043.152.26.58Singapore
13--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148B48E70B1E4C29FCB44171A1A8978D4A02B728F56DE91087ACC736D5F2C8E7BD6127E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:feLOzFzkogmCIZTAT4p3gcIBytnnqkadxGsfRX7Gg2Hg3WRm2g7CsuZ9H8aeMEGW:feLOzFzXeTTYtqhd04Rig27CUXHQ9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:538316:QdEeEEoACRChRgoLBEZiQoUqDaQAYosEEQsIRAIIKhBGAyUqgtCiyhMkUkSihNkLHGDBgIAkypOSNSCkBhAg4oUWEiyMxYwA

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:1818181818181818
Perceptual Hash:8c73327632337633
Difference Hash:b3b3b3b3b3b3b3b3
Wavelet Hash:393c3c38383c3d3d
Color Hash:#543a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data