Security Scan Report: san-af-eastus-prod.azurewebsites.net

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is azurewebsites.net and was registered 14 years ago.

Submitted URL: https://san-af-eastus-prod.azurewebsites.net

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Azure Functions placeholder page; no malicious activity detected.

Safety Factors (5)
HTTPS enabled
Hosted on official Microsoft Azure platform
No forms or data collection elements present
No malicious Indicators of Compromise
Low JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

Your Azure Function App is up and running.

Scan Type

public

Domain Name Analysis

The domain 'san-af-eastus-prod.azurewebsites.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'san-af-eastus-prod'. Count 13 characters in 'azurewebsites' with six vowels and seven consonants. Tokenizing the label suggests two words: azure, websites. Average segment length settles at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Microsoft Azure Your Functions 4.0 app is up and running Azure Functions is an event-based serverless compute experience to accelerate your development. Learn more G)

Page Load Overview

1.44s
Total Load Time
277 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Text Length:194 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32.16.10.179Germany
AS8075Microsoft Corporation
240.71.11.136Washington, Virginia, United States
AS8075Microsoft Corporation
52--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T171F3D0BA351BFCAFDF3559C792146C216C0E44A75305C689BBAC023C8F96324CF5A7A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:PY3KIrxJZ6XQ6OLR+NkipGG2zTGjUG6dW1N:x676XQ6E2jCTGQk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163867:jiAQOEwRBwJAlAYIWSmAUABAhCw4AEWMYDQAGS2ESQO0WBSTSIFIyygALmJgRGlSMQJRwE0oDBzBpHiCQg0FiCAJsjKRWuUA

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:98d8981818180020
Perceptual Hash:d9d8cd1887332733
Difference Hash:32b212323232484c
Wavelet Hash:98d8d8d81818fcfe
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data