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Security Scan Report: ann-neet-ykwsv6neag.edgeone.app

Submitted: Apr 2, 2026, 3:56:20 PMCompleted: Apr 2, 2026, 3:57:32 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 5 HTTP transactions. The main domain is ann-neet-ykwsv6neag.edgeone.app and was registered NaN years ago.

Submitted URL: https://ann-neet-ykwsv6neag.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

No suspicious activity detected; the site appears legitimate and low risk.

Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise
Standard external resources (fonts.googleapis.com, fonts.gstatic.com) only
Hosted on reputable platform edgeone.app
No brand impersonation or phishing language
Domain age information unavailable

Details

Page Title

Hello Anwesha

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(71%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ann-neet-ykwsv6neag.edgeone.app' is registered and includes subdomain 'ann-neet-ykwsv6neag'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Breaking it apart gives two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ann-neet-ykwsv6neag.edgeone.app/

Page Load Overview

0.53s
Total Load Time
5
HTTP Requests
3
Domains
19 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:112 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
government public service
66%
documentation technical
43%
cryptocurrency blockchain
40%
healthcare medical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.13.95United States
AS15169Google LLC
1142.250.154.94United States
AS15169Google LLC
143.152.26.58Singapore
AS139341ACE
53--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E61210AA9F301427517A1D52FF3531837789403E10ACE7C3ADEB2A4DF5AAD684E2B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T4dnJ91xNedaTZM9xyC7fxKPpkzKcS3fhGpmDC8J56G0ggs:T4nRNGaTZtHRkzKN3tDnJshggs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3331:BAAAIEAAACIAAAACAAwAIgGAIBAFAgBIKAAEAgADEiAQIgCgMEACCAIAYCgAAJAEAAAQAEAKgAELAACAAAAGAAAABAQwAAQQ

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:f8f0f8f8d8d0c080
Perceptual Hash:dd8027239d8d2677
Difference Hash:8080303230200000
Wavelet Hash:f8f8f8f8f8d8c080
Color Hash:#5394ac

Other Hashes

Crop Resistant:8080303230200000

Scan History

Scan history not available

Unable to load historical scan data