Security Scan Report: smooth-purple-dk2iddy2tq-elbciov105.edgeone.app

Submitted: Apr 6, 2026, 3:14:02 AMCompleted: Apr 6, 2026, 3:15:19 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 6 HTTP transactions. The main domain is smooth-purple-dk2iddy2tq-elbciov105.edgeone.app and was registered NaN years ago.

Submitted URL: https://smooth-purple-dk2iddy2tq-elbciov105.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: 92%

2
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation indicative of malicious intent
Legitimate external resources (fonts.googleapis.com, fonts.gstatic.com)
Subdomain on a reputable hosting platform with no suspicious behavior
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(81%)

Domain Information

The domain name 'smooth-purple-dk2iddy2tq-elbciov105.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'smooth-purple-dk2iddy2tq-elbciov105'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests 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://smooth-purple-dk2iddy2tq-elbciov105.edgeone.app/

Page Load Overview

0.58s
Total Load Time
6
HTTP Requests
3
Domains
97 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:4,174 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network81% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
81%
corporate business
59%
e-commerce shopping
58%
government public service
54%
documentation technical
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2192.178.183.95United States
AS15169Google LLC
2142.251.110.94United States
AS15169Google LLC
243.152.26.58Singapore
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18662853191E0207371A391D1B5E46B4F3A70E513DA0B0B54B6BC96A8AFC3CD6CF27A48

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:p4MezL1+3wgFO9QDDyRcm6BK0pEQdIDP6h2CURM:pK/QAgFOODyRJ6BK0pESIDP66RM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14912:ENhCAwiYwqSZBapSAsZBE5bMIRKzwAVCQg3YIQAcCIxngASDgMHRQOggAEgA5qQQaYfCGKZMDiGQACARIIAJEwJApQSMEyYs

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:c3c3ffe7e7ffffff
Perceptual Hash:b475753464644cdb
Difference Hash:9696688e8c968e29
Wavelet Hash:c2c2cec2c3c3c3cf
Color Hash:#7b79d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data