Security Scan Report: arubawebmail771.blob.core.windows.net

Redirected to: https://arubawebmail771.blob.core.windows.net/user48123184893140019/webm.html

Submitted: Nov 27, 2025, 3:03:18 AMCompleted: Nov 27, 2025, 3:05:34 AMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 6 domains to perform 23 HTTP transactions. The main domain is arubawebmail771.blob.core.windows.net and was registered NaN years ago.

Submitted URL: https://arubawebmail771.blob.core.windows.net/user48123184893140019/index.html

Effective URL: https://arubawebmail771.blob.core.windows.net/user48123184893140019/webm.htmlRedirected

The Cisco Umbrella rank of the primary domain is #44 of the top 1 million websitesTop 100 Site

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Confirmed phishing scam hosted on Azure Blob storage; avoid any interaction.

Risk Factors
Cloud storage domain with credential harvesting forms
Password fields on a non‑official domain
Brand impersonation of Aruba Webmail
Misspelled login prompts indicating social engineering
Domain age information unavailable

Details

Page Title

Webmail Aruba

Scan Type

public

Language

🇮🇹

Italian

(36% confidence)

Category

unknown

(0%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'arubawebmail771.blob.core.windows.net' is registered; it also runs on subdomain 'arubawebmail771.blob.core'. The registrable portion 'windows' spans 7 characters with two vowels and five consonants. It segments into one word: windows. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arubawebmail771.blob.core.windows.net/user48123184893140019/index.html

Page Load Overview

0.46s
Total Load Time
23
HTTP Requests
6
Domains
460 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:en
Text Length:494 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as it

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1420.209.87.193Milan, Lombardy, Italy
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3151.101.65.229San Francisco, California, United States
AS54113FASTLY
2142.250.185.131United States
AS15169GOOGLE
2104.17.25.14United States
AS13335CLOUDFLARENET
1142.250.186.42United States
AS15169GOOGLE
1151.101.193.229San Francisco, California, United States
AS54113FASTLY
1151.101.1.229San Francisco, California, United States
AS54113FASTLY
162.149.186.150Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
12a04:4e42:600::485United States
AS54113FASTLY
12a00:1450:4001:830::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
2318--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F22415060F4083751A785D83AA8671A3EC6E21BCB57450477FD4BE81FDBC83AE53A1E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TZF+zgW2JuUo3/v+Q/c7vNNQ/jqAQGEuPMsa3pTgd4rZN6RFqLQQxKAj:VF+EW2Jzck/ZfLQQgAj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10559:CiJPC8ASFLIDHwAOQKAAUgD8T0rQBhAxyRSiWIAGICgCgjBAxikUFE80sOUK4k8AIAqdiTxBg1RFmjawJgjmhzYKHIBiEZQA

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:fefec6fefefafec3
Perceptual Hash:f5c720cd28db229b
Difference Hash:02064c0a32123096
Wavelet Hash:2e2602021e1a0c00
Color Hash:#40bfb0

Other Hashes

Crop Resistant:02064c0a32123096

Scan History

Scan history not available

Unable to load historical scan data