Security Scan Report: atidevsoctanner2022.azurewebsites.net

Submitted: Jan 22, 2026, 11:57:12 PMCompleted: Jan 22, 2026, 11:59:07 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 atidevsoctanner2022.azurewebsites.net and was registered NaN years ago.

Submitted URL: https://atidevsoctanner2022.azurewebsites.net

AI Security Verdict

Low Risk

Confidence: 88%

1
Risk Score

No malicious activity detected; site appears safe but may be misconfigured.

Safety Factors
Hosted on reputable Azure platform
No credential or payment collection fields
No malicious JavaScript patterns detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

adult content

(34%)

Domain Information

The domain 'atidevsoctanner2022.azurewebsites.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'atidevsoctanner2022'. The core label 'azurewebsites' covers 13 characters containing 6 vowels alongside seven consonants. It segments into 2 words: azure, websites. Average segment length settles at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://atidevsoctanner2022.azurewebsites.net

Page Load Overview

0.76s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:62%
Script Type:Latin
Text Length:58 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content34% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
240.112.143.214San Jose, California, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T167B012FFF2DF501A1C3736401D9606606A9641A4304557845548E028D444640872264D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6rwe7sxRNsphPXtHMqLcz:qzxO96Uegx8HMhz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7bd6e9cb489b2c8c921570755825b6d5

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#68bf40

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data