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Security Scan Report: zungo-chat-gh3owmqqyp.edgeone.app

Submitted: Apr 24, 2026, 9:41:48 PMCompleted: Apr 24, 2026, 9:42:56 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is zungo-chat-gh3owmqqyp.edgeone.app and was registered NaN years ago.

Submitted URL: https://zungo-chat-gh3owmqqyp.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: 85%

5
Risk Score

The site appears to be a credential phishing page impersonating Google, with a login form on a newly created subdomain; avoid interaction.

Risk Factors
Brand impersonation on low‑ranked domain
Unknown subdomain age on hosting platform
Presence of credential collection form
Typosquatting / brand mismatch
Hosting on generic platform (edgeone.app) without established reputation
Safety Factors
Established domain (1080 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

ZUNGO CHAT | Connect. Chat. Belong.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(54%)

Domain Information

The domain name 'zungo-chat-gh3owmqqyp.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'zungo-chat-gh3owmqqyp'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. It segments into 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zungo-chat-gh3owmqqyp.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
16 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:1,759 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical54% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
54%
cryptocurrency blockchain
53%
technology software
47%
government public service
32%
social media network
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E73E92362A5213D495792E57BA7631E3334E107EA0985687CAC46D4CFCEED0DCB7AC8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:WB30tnTnaCqHlAkOfpaqieTzJpi6u08DFs5aU9/CKXpV3kNyGlLUMYDejK5:pnj/uOfp0AJzL8sfGlLUMYD35

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77090:EAA2wAOoFCKGBFSlBKcQAQpigGgwwRUMCwAGRKkTB8DAAHKDOB0RpEhzBOi56ugABQBAAjgEAiAQLNAzwClERIHISAtOIQIU

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:ffefe7e7e7e7ffff
Perceptual Hash:b399cc66cccc2633
Difference Hash:00184c484c4d3008
Wavelet Hash:3f2f232307070707
Color Hash:#79d2b3

Other Hashes

Crop Resistant:00184c484c4d3008

Scan History

Scan history not available

Unable to load historical scan data