Security Scan Report: p23-pri-signalr-prod-appsvc.azurewebsites.net

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Submitted: May 8, 2026, 1:44:21 PMCompleted: May 8, 2026, 1:46:14 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is p23-pri-signalr-prod-appsvc.azurewebsites.net and was registered NaN years ago.

Submitted URL: https://p23-pri-signalr-prod-appsvc.azurewebsites.net

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk site with no malicious activity detected; safe for normal browsing.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1M)
Subdomain age is unknown, could be newly created
Safety Factors
No login, payment, or credential‑harvesting forms
No external malicious links or resources
No JavaScript obfuscation or suspicious behavior
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'p23-pri-signalr-prod-appsvc.azurewebsites.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'p23-pri-signalr-prod-appsvc'. The core label 'azurewebsites' covers 13 characters split between six vowels and seven consonants. Tokenizing the label suggests two words: azure, websites. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://p23-pri-signalr-prod-appsvc.azurewebsites.net

Page Load Overview

0.65s
Total Load Time
2
HTTP Requests
1
Domains
32 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
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
220.118.40.0Des Moines, Iowa, United States
AS8075Microsoft Corporation
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AAD0A99350A2282C2031A2200DC5B6140EAEBD9332064D40B9CDB5AE0FEAB86CCCB19C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVIZxOvYk2FF/iCsAAbHblu+FYBzO907vXiCsaHVk+H2AKlZK3tvxL/dNvXFVU:haxWYkiPfAbpli7vFt1IlZkdxQHKqz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:43236c0e3099b6c8b0ef47be8467dcd4

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#56862d

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data