Security Scan Report: aacomwahubs.azurewebsites.net

Submitted: May 30, 2026, 9:44:24 PMCompleted: May 30, 2026, 9:46:09 PMpubliccompleted
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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 aacomwahubs.azurewebsites.net and was registered NaN years ago.

Submitted URL: https://aacomwahubs.azurewebsites.net

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

No malicious activity detected; the site appears benign with low risk.

Risk Factors
Unranked subdomain on a hosting platform (.azurewebsites.net)
Domain age unknown (subdomain could be newly created)
Safety Factors
Absence of login, payment, or data‑collection forms
No external malicious links or resources
No suspicious JavaScript behavior or obfuscation
Domain age information unavailable

Details

Page Title

AppArmor

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'aacomwahubs.azurewebsites.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'aacomwahubs'. Count 13 characters in 'azurewebsites' holding six vowels versus seven consonants. Segmentation suggests two words: azure, websites. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aacomwahubs.azurewebsites.net

Page Load Overview

0.84s
Total Load Time
3
HTTP Requests
1
Domains
107 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:12 chars
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
3104.45.152.13Washington, Virginia, United States
AS8075Microsoft Corporation
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128D02B0300E01107B10160984CC0A7441DDA624767438A60759920B66F4C576DDA30CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:haxWYkiWAXQEdxs6OqPbRyIDMkqoXK+PA0jqk4zM+Xz:hax/64xs4FD9lX/o0jf4g+j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:479231d8c8b65c3388a7425b6aa5d20d

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:1818180000000000
Perceptual Hash:cccc993333336666
Difference Hash:1032320810000000
Wavelet Hash:ffffffff00000000
Color Hash:#e06cb1

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data