Security Scan Report: qamar-c27ux1k6sk.edgeone.app

Submitted: Jan 24, 2026, 3:00:10 AMCompleted: Jan 24, 2026, 3:01:30 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 qamar-c27ux1k6sk.edgeone.app and was registered NaN years ago.

Submitted URL: https://qamar-c27ux1k6sk.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No forms detected
No malicious Indicators of Compromise matches
Established domain age (>365 days)
No external domains referenced
No JavaScript malware patterns
Domain age information unavailable

Details

Page Title

For Qamar πŸŒ™πŸ’–

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'qamar-c27ux1k6sk.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'qamar-c27ux1k6sk'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals 2 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://qamar-c27ux1k6sk.edgeone.app/

Page Load Overview

0.71s
Total Load Time
3
HTTP Requests
1
Domains
5.8 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:198 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D92C75756631410A22B91D52FEB171932B88403A20FCD2C7BECA3D88FC7D99E9677D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:NeeW19pGFFbiGo+wwYgeKGloQ9ESI4C35HGzjmrGWknIVOid3rJdfHufGYU:NedGFFbiGo+wwYgeKGloQ9ESI4C35HGY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20925:ASApURuICOJIIYokggNIlASM4D9BB5iEaAhBOJiQMFPWMJSqWBA6SAAApTCEcaFQrNQWA7ElSAHCQaA2EBOMAUQACQQHEDqI

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:0000001818180000
Perceptual Hash:ccb033cccc73339c
Difference Hash:f0b0b0b2b2f0f0c0
Wavelet Hash:7e7e7e3c3c3c1800
Color Hash:#ac79d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data