Security Scan Report: mediakit-automsgs.pages.dev

Submitted: Mar 10, 2026, 6:34:32 AMCompleted: Mar 10, 2026, 6:36:09 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is mediakit-automsgs.pages.dev and was registered NaN years ago.

Submitted URL: https://mediakit-automsgs.pages.dev/u/

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

No suspicious activity detected; the page appears to be a harmless 404 response.

Safety Factors
Hosted on a standard free hosting platform (pages.dev)
No external domains referenced
No hidden or suspicious fields
No obfuscation or malicious script behavior
Domain age information unavailable

Details

Page Title

Media Kit

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

The domain 'mediakit-automsgs.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'mediakit-automsgs'. Count 5 characters in 'pages' holding two vowels versus three consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mediakit-automsgs.pages.dev/u/

Page Load Overview

8.17s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:777 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
56%
adult content
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1172.66.44.164United States
0142.251.140.163United States
0142.250.186.42United States
0172.67.206.138United States
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BEA2FAB7726411397047D1ADBB9357493379B007F80A407876EC3088CBCE9A9E56BAF8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KUr+qpdTnq63Wmg5fiLMAvk1Bt0Nr5MWs5DrxC74jT/sLA+Ukfx5WiBhCXMRANZt:X8GMstMWERCcjALA9kfXrj2NZiAx4NC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21332:VUFwIA4ahmBAoEFIqQMDIopAHhgw5IUAVECQITDwAdmUERYkAgwJkQlKYCgIiIaIwOwbC1JiIKoS2EAEdgyChUCBmBMFFkRS

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:0100001818000000
Perceptual Hash:88aa22aa88bb7777
Difference Hash:0100081010080000
Wavelet Hash:b51999793b625c0e
Color Hash:#e06c9e

Other Hashes

Crop Resistant:0100081010080000

Scan History

Scan history not available

Unable to load historical scan data