Security Scan Report: swiftchat-npuwwi127n.edgeone.app

Submitted: Feb 22, 2026, 1:49:24 AMCompleted: Feb 22, 2026, 1:50:43 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 swiftchat-npuwwi127n.edgeone.app and was registered NaN years ago.

Submitted URL: https://swiftchat-npuwwi127n.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 safe.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Standard JavaScript behavior (right‑click block) only
Cross‑origin request to a reputable third‑party service
Hosted on a reputable platform (edgeone.app)
Domain age information unavailable

Details

Page Title

swiftchat-npuwwi127n.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

social media network

(48%)

Domain Information

You're looking at domain 'swiftchat-npuwwi127n.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'swiftchat-npuwwi127n'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Segmentation suggests 2 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://swiftchat-npuwwi127n.edgeone.app/

Page Load Overview

0.98s
Total Load Time
12
HTTP Requests
6
Domains
186 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:2,227 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
48%
adult content
35%
technology software
29%

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

T1A7048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszg2bMy8OldC:ahoC9JSqzzbs6o3Sj3gcrsM2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184551:IACDgBKnlAOIXa2FAoKDCihKlBYJchFS6EGjRgicDAVoQBqOz0IuQMuYhDhkIEQgWCAiCoEEpsQAAAU1bDkDMOoKSQUEB1VW

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:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:f0d0c0ccf0f0f0f0
Color Hash:#2dd272

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data