Security Scan Report: above-lime-zopsquqcwj-mds9o1wjha.edgeone.app

Submitted: Mar 1, 2026, 7:14:35 PMCompleted: Mar 1, 2026, 7:15:59 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is above-lime-zopsquqcwj-mds9o1wjha.edgeone.app and was registered NaN years ago.

Submitted URL: https://above-lime-zopsquqcwj-mds9o1wjha.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: 78%

5
Risk Score

Page mimics Telegram on a fresh hosting subdomain without forms; moderate risk due to brand impersonation.

Risk Factors
Brand impersonation on a non‑official domain
Very new subdomain (age unknown, likely created recently)
Hosted on a free/shared platform (edgeone.app) with random subdomain
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No redirects or URL manipulation
Domain age information unavailable

Details

Page Title

Telegram ID Freezing Panel

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

Within the application-focused generic top-level domain (.app), 'above-lime-zopsquqcwj-mds9o1wjha.edgeone.app' is registered, featuring subdomain 'above-lime-zopsquqcwj-mds9o1wjha'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. It segments into two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://above-lime-zopsquqcwj-mds9o1wjha.edgeone.app/

Page Load Overview

0.61s
Total Load Time
3
HTTP Requests
2
Domains
8 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:406 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
cryptocurrency blockchain
79%
documentation technical
45%
social media network
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
1104.26.12.205United States
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16672947E29B731053943E0AD1BAB93023123F007A44BD9673FCC53548F86A9CA9627DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:f0uyEYE1iMorIuTZJ4J+GT0JSZ1zspRJ/m3ADtDf0Xrx0GYtL6osdT0NLTtCWj42:j0eC1m3ADyXrx0dQTMH4Lg3IPN66Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16676:CYBAOCM4Ugkg0LVSKAQAnExhcyEASPNBpFrCgkziawCjFCAAmJJAATUoRWgJBKmCGYRQAQiiNRIQgTACeKADQCBZhFAIIRi5

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:0818181818181818
Perceptual Hash:881b766633996667
Difference Hash:b3b2b2b2b3b3b2b3
Wavelet Hash:183c3c3c3c3d3d1b
Color Hash:#2d864c

Other Hashes

Scan History

Scan history not available

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