Security Scan Report: hefung-jd19iwsrql.edgeone.app

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Submitted: Feb 13, 2026, 5:38:48 AMCompleted: Feb 13, 2026, 5:40:19 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 hefung-jd19iwsrql.edgeone.app and was registered NaN years ago.

Submitted URL: https://hefung-jd19iwsrql.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 age
No malicious Indicators of Compromise
No credential or payment forms
No external links
Domain age information unavailable

Details

Page Title

hefung-jd19iwsrql.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

Domain 'hefung-jd19iwsrql.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'hefung-jd19iwsrql'. Count 7 characters in 'edgeone' split between 4 vowels and 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://hefung-jd19iwsrql.edgeone.app/

Page Load Overview

8.09s
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:783 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
51%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszI2bMy8Oldi:4hoC9JSqzzbs6o3Sj3gcrsk2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184536:IVzQaYkYUJ2gSQMWDSUICuXIAQ8gAMEAgYAAoSBJRBEZnIXUGicwAHAKlRlYwohiICIm0MiqBkK4jdUDAbAbQZkCTBqaMhDK

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:ffdfc3cf00000000
Color Hash:#3a3f78

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data