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Security Scan Report: aadat-dp4p9oweaxsh.edgeone.app

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Submitted: Jun 10, 2026, 7:57:18 AMCompleted: Jun 10, 2026, 7:58:36 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is aadat-dp4p9oweaxsh.edgeone.app and was registered NaN years ago.

Submitted URL: https://aadat-dp4p9oweaxsh.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%

4
Risk Score

The site shows moderate risk due to unknown subdomain age, low ranking, and heavily obfuscated JavaScript, but lacks phishing, malware, or credential‑stealing indicators.

Risk Factors
Unknown subdomain age (could be brand new)
Low domain ranking in Cisco Umbrella
Heavy JavaScript obfuscation
Safety Factors
No forms collecting credentials or payments
No external malicious resources detected
No network IDS alerts
No known malicious kits or IoC matches
Domain age information unavailable

Details

Page Title

Aadat - Habit Tracker

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(65%)

Domain Information

Domain 'aadat-dp4p9oweaxsh.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'aadat-dp4p9oweaxsh'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Tokenizing the label suggests 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://aadat-dp4p9oweaxsh.edgeone.app/

Page Load Overview

1.56s
Total Load Time
21
HTTP Requests
7
Domains
908 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:11,948 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
65%
government public service
41%
documentation technical
38%
healthcare medical
37%
phishing scam
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5192.178.170.95United States
AS15169Google LLC
4101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
4142.251.127.84United States
AS15169Google LLC
4104.26.3.143United States
AS13335Cloudflare, Inc.
4104.18.0.22United States
AS13335Cloudflare, Inc.
215--

Detected Technologies3

Tailwind CSS
30%
Unpkg
20%
Google Sign-in
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T194B4D93462F2102570A7C4AEAB476E65792CF107FA4BD598BA4C72D05FCDC218A637F8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:9htcAkWMqsDRaLlnkGroQZSej3qWRQM1GqItL25GCnW:CL5QZSzM1GqIbb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:506218:QABDgrGF8VDEChVCIYFXDy6yQgAX0JIQw9sRHPycgCBAIMAAIPATwRhUkHjFBElGYsDgQEAMDEiIhgVDA+GBCKU6BEAWqlz4

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:7f000000000000ff
Perceptual Hash:87f089d883f287dc
Difference Hash:80000808000000e8
Wavelet Hash:fffec2c20000c2ff
Color Hash:#ac5362

Other Hashes

Crop Resistant:80000808000000e8

Scan History

Scan history not available

Unable to load historical scan data