Security Scan Report: mango-mud-0fb028303.2.azurestaticapps.net

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is azurestaticapps.net and was registered 6 years ago.

Submitted URL: https://mango-mud-0fb028303.2.azurestaticapps.net/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security threats.

Safety Factors (3)
Established domain age (>5 years)
No malicious Indicators of Compromise detected
No credential or payment collection fields
Domain age information unavailable

Details

Page Title

UMD Widget Test

Scan Type

public

Domain Name Analysis

The domain name 'mango-mud-0fb028303.2.azurestaticapps.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'mango-mud-0fb028303.2'. Its registrable label 'azurestaticapps' stretches across 15 characters with 6 vowels and 9 consonants. Breaking it apart gives 3 words: azure, static, apps. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Lops chiar PAVE | ISéLoantent wainonzaNdA {Closé Chat: | Start Livechiat; Lops chiar PAVE | s8tcantert | “inna cna cope crit | (Close, Chat; Start Livechat}

Page Load Overview

0.25s
Total Load Time
124 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:404 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical73% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
73%
social media network
72%
news media journalism
68%
government public service
67%
real estate property
64%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
320.82.22.191Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
31--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16182A7D9D121212A4633A32B3BCAF60F37106DE3D616A7B5B42D55E08FCFAD219B0749

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:NtjYwhAvZmoG+Mj5+8HWncIosFx7sYpZm9S7oBN0bwLUpt+9S2sCtZP39SG92UL8:N5yvctWx7Oy2N0+//mQ75s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17814:giSBQwAgBjsOEDWV3WBAiBlHGAFRCjKAXMkUEMDWAikICwEEX1VDKBAwQACxAQJGigAiqgPo2EcBAocBAAx2mCB6SjPQgACz

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:9f0f1f03073f010f
Perceptual Hash:9d959ac6e1c986e2
Difference Hash:303e6c524e685115
Wavelet Hash:ff071f03071f011f
Color Hash:N/A

Other Hashes

Crop Resistant:303e6c524e685115

Scan History

Scan history not available

Unable to load historical scan data