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Security Scan Report: kalimat-quran-55154apb32.edgeone.app

Submitted: Mar 19, 2026, 5:55:47 PMCompleted: Mar 19, 2026, 5:57:05 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 kalimat-quran-55154apb32.edgeone.app and was registered NaN years ago.

Submitted URL: https://kalimat-quran-55154apb32.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 suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
No JavaScript malware detected
Cross‑origin request to a legitimate Quran API
Hosted on a reputable platform (edgeone.app) with no suspicious activity
Domain age information unavailable

Details

Page Title

Kalimat — كلمات (use desktop site mode for better experience) (Responsive Quran App)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'kalimat-quran-55154apb32.edgeone.app' is registered; it also runs on subdomain 'kalimat-quran-55154apb32'. Count 7 characters in 'edgeone' holding four vowels versus 3 consonants. It segments into two 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://kalimat-quran-55154apb32.edgeone.app/

Page Load Overview

0.21s
Total Load Time
3
HTTP Requests
2
Domains
22 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:5,574 chars
Detector Agreement:50%

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
243.152.26.58Singapore
AS139341ACE
1128.140.85.170Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139A3952A36F31431885762BA77E3575A3A30D103990AE9583FDC53844F87EA9D8B778C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:uLVct0/WAMyU0XRcCQYn+1geRSVCblxMs9ELPXXtDUxd46VOoFEb7uTXty10UDlL:34N6oyo7uTUtBf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:105795:TCKoINqVEBomBCgAJhQIgkogkUKAg90YRyqUQoAwUrWkgBM4FVCRw1ASpwBEwaWgGHislhEKxRjAcEGQKSGUTAtUAEcokACX

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:003c3c3c3c3c3c3c
Perceptual Hash:8a653934383c6fc7
Difference Hash:f541417169696961
Wavelet Hash:053c3c3c3c3c3d3d
Color Hash:#2dbfd2

Other Hashes

Crop Resistant:f541417169696961

Scan History

Scan history not available

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