Security Scan Report: haha234-vc1d4env2l.edgeone.app

Submitted: Jan 3, 2026, 7:44:54 PMCompleted: Jan 3, 2026, 7:46:48 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 6 HTTP transactions. The main domain is haha234-vc1d4env2l.edgeone.app and was registered NaN years ago.

Submitted URL: https://haha234-vc1d4env2l.edgeone.app/_global-error.html

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

The page shows a standard 404 error with no suspicious activity.

Safety Factors
Established domain age (> 2 years)
No malicious Indicators of Compromise detected
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

EdgeOne Pages

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

You're looking at domain 'haha234-vc1d4env2l.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'haha234-vc1d4env2l'. Count 7 characters in 'edgeone' with four vowels and three consonants. Segmentation suggests 2 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://haha234-vc1d4env2l.edgeone.app/_global-error.html

Page Load Overview

32.20s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.154Singapore
143.152.28.43Singapore
143.152.26.58Singapore
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B81AB5765F311126853E4AC2F755B0A76E4C403C28ACD2A3EEC639CCF8AE969D9334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TkPv0c6StLUtapqFo9itOgO5R5I+hck4xhB1F8tSZJXXdPFe:4Pz6StLUtapqFo9itOgOf5Iwck4xhB1i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4033:BCUCxBEAAAgkBIIQEAgkSIFEASiCICMAAEAEIAEADQACQEAACIAGEEKQAGEQJghMRiAAAYACgQhCBogjAEAQAQAEKSAACBAg

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:ffffe7e7e7e7ffff
Perceptual Hash:a699cc6633336699
Difference Hash:000008080c0c0000
Wavelet Hash:fcfcc0c0c0e4f0f0
Color Hash:#75783a

Other Hashes

Crop Resistant:000008080c0c0000

Scan History

Scan history not available

Unable to load historical scan data