Security Scan Report: securityswift-7qm04ys31m.edgeone.app

Submitted: Feb 22, 2026, 6:56:31 PMCompleted: Feb 22, 2026, 6:58:00 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 securityswift-7qm04ys31m.edgeone.app and was registered NaN years ago.

Submitted URL: https://securityswift-7qm04ys31m.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site is down and shows no malicious activity, but unknown subdomain age warrants caution.

Risk Factors
Subdomain on a free hosting platform with unknown age
Unreachable page (no content rendered)
Safety Factors
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
No credential exfiltration or cross‑origin data theft observed
No brand impersonation or phishing language present
Domain age information unavailable

Details

Page Title

securityswift-7qm04ys31m.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

social media network

(58%)

Domain Information

Within the application-focused generic top-level domain (.app), 'securityswift-7qm04ys31m.edgeone.app' is registered, featuring subdomain 'securityswift-7qm04ys31m'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Tokenizing the label suggests 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://securityswift-7qm04ys31m.edgeone.app/

Page Load Overview

6.23s
Total Load Time
12
HTTP Requests
6
Domains
189 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:2,658 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
58%
adult content
53%
documentation technical
52%
technology software
51%
forum community discussion
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1243.152.26.58Singapore
121--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszI2bMy8OldK:choC9JSqzzbs6o3Sj3gcrsE2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184571:AViABiofEPnAhSnBmFFi1ASQIMkAIlK0EBygIUQBAw4RUuAgATDBMsDKgIcRKAACADA4kSwSTiYgCI3kPKxQgGlLBDuSxKyJ

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:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#97bf40

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data