Security Scan Report: ambitious-beach-0e733da0f.2.azurestaticapps.net

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Submitted: Jan 28, 2026, 6:50:23 AMCompleted: Jan 28, 2026, 6:52:09 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is ambitious-beach-0e733da0f.2.azurestaticapps.net and was registered NaN years ago.

Submitted URL: https://ambitious-beach-0e733da0f.2.azurestaticapps.net

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>5 years old)
No credential or payment collection forms
No malicious Indicators of Compromise detected
No redirects or external links
Standard hosting environment
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'ambitious-beach-0e733da0f.2.azurestaticapps.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'ambitious-beach-0e733da0f.2'. The second-level label 'azurestaticapps' is 15 characters long split between 6 vowels and 9 consonants. It segments into three words: azure, static, apps. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ambitious-beach-0e733da0f.2.azurestaticapps.net

Page Load Overview

0.28s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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
0
Detector Agreement:0%

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
220.82.22.191Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BE02B8ABDF2400695F2F5619E82BE2C2B2351970001DB863BDD53707FA479F9E63A94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY+AqJmBcSSmeqPw2ZiJVbUKEIiJBK/ubxl0dwNAEdAbKqz:hR/qJmKpU54tUKETg/uP0d4AEdAbj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:183fab8741f1cf59ef88c5a7990dfc0f

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#87c5c2

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data