Security Scan Report: linkedinmicrosites-gnfncuh5f0a9fgbp.z01.azurefd.net

Submitted: Dec 22, 2025, 12:11:17 AMCompleted: Dec 22, 2025, 12:12:06 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is linkedinmicrosites-gnfncuh5f0a9fgbp.z01.azurefd.net and was registered NaN years ago.

Submitted URL: https://linkedinmicrosites-gnfncuh5f0a9fgbp.z01.azurefd.net

The Cisco Umbrella rank of the primary domain is #882,716 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

404: Not Found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(92%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'linkedinmicrosites-gnfncuh5f0a9fgbp.z01.azurefd.net' is registered; it also runs on subdomain 'linkedinmicrosites-gnfncuh5f0a9fgbp.z01'. Count 7 characters in 'azurefd' with three vowels and four consonants. Tokenizing the label suggests 2 words: azure, fd. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://linkedinmicrosites-gnfncuh5f0a9fgbp.z01.azurefd.net

Page Load Overview

0.68s
Total Load Time
3
HTTP Requests
2
Domains
30 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:460 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network92% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
92%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.107.246.53United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1104.18.33.206United States
AS13335CLOUDFLARENET
12.17.251.28Stockholm, Stockholm County, Sweden
AS20940Akamai International B.V.
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110B18417A794330ABB635148FE52F329A2274052F71FACF95D560828DBCCA161A733DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:1Iz2hoLCsiht3UkFx7WRomrNzwkJiGPcvJS+lJixiK7nfr/:1ImoLrihtfFx2cxlsr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5507:AEBAgSjNGUPQjpMVIg4LBEiEQEAgAoAhaUAQIjEAAhkEAooAEAWCAYoICICCRAKAgDgQEkRICCCAgQBRjhEEgB0nK0AcVAjA

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:3f09078ba9ffffff
Perceptual Hash:bf0fc4c10bb0b46b
Difference Hash:c0791d4b6b004a00
Wavelet Hash:0900010989ffffff
Color Hash:#bf9b40

Other Hashes

Crop Resistant:c0791d4b6b004a00

Scan History

Scan history not available

Unable to load historical scan data