Security Scan Report: funcam-91zwtj0pej.edgeone.app

Redirected to: https://meet.jit.si/9922

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Submitted: Feb 22, 2026, 12:18:10 PMCompleted: Feb 22, 2026, 12:19:31 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 meet.jit.si and was registered NaN years ago.

Submitted URL: https://funcam-91zwtj0pej.edgeone.app/

Effective URL: https://meet.jit.si/9922Redirected

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate Jitsi Meet meeting link; no malicious activity detected.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Safety Factors
Meta tags correctly identify Jitsi Meet brand
Page contains no forms collecting sensitive data
No suspicious scripts or external requests observed
Domain ranking is low but does not claim any major brand
Domain age information unavailable

Details

Page Title

funcam-91zwtj0pej.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'funcam-91zwtj0pej.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'funcam-91zwtj0pej'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://funcam-91zwtj0pej.edgeone.app/

Page Load Overview

5.40s
Total Load Time
52
HTTP Requests
4
Domains
1 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:369 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5243.152.26.58Singapore
521--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B048E773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8Olds:1hoC9JSqzzbs6o3Sj3gcrsg2eAK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184536:A6JGdGjIRQweF4NIJQigYAUDBpkAwqDwAgAIkA3AwYvIBSZBYqgMYAkCgACiqoEa8WyO4ERwhQZQi+xRICtcuCrGk2IUYgAC

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:#5391ac

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data