Security Scan Report: swift-u50gcugfdh.edgeone.app

Submitted: Feb 8, 2026, 8:20:49 PMCompleted: Feb 8, 2026, 8:22:22 PMpubliccompleted
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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 swift-u50gcugfdh.edgeone.app and was registered NaN years ago.

Submitted URL: https://swift-u50gcugfdh.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%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain (>2 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
Zero risk indicators detected
Domain age information unavailable

Details

Page Title

swift-u50gcugfdh.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(34%)

Domain Information

The domain name 'swift-u50gcugfdh.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'swift-u50gcugfdh'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://swift-u50gcugfdh.edgeone.app/

Page Load Overview

7.73s
Total Load Time
16
HTTP Requests
6
Domains
229 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:6,915 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content34% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
34%
corporate business
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1643.152.26.58Singapore
161--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszA2bMy8OldW:KhoC9JSqzzbs6o3Sj3gcrsM2eAk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184531:yGQggjTDQgUQqbkEGKEBApENgAaDgiJouWQEcFTwGQArxB4BCCyhKBMEgDAAEskYKVg4GQCYxJGjQARdwoUOIEJwCDEiAgQi

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:b331cccccc663333
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#53d22d

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data