Security Scan Report: ms4.applovin.com

Submitted: Dec 3, 2025, 4:06:55 PMCompleted: Dec 3, 2025, 4:08:06 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is ms4.applovin.com and was registered NaN years ago.

Submitted URL: https://ms4.applovin.com/

The Cisco Umbrella rank of the primary domain is #1,140 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate but is currently inaccessible (DNS error).

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

ms4.applovin.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(85%)

Domain Information

The domain name 'ms4.applovin.com' uses the commercial generic top-level domain (.com) and includes subdomain 'ms4'. Count 8 characters in 'applovin' holding 3 vowels versus 5 consonants. Breaking it apart gives two words: app, lovin. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ms4.applovin.com/

Page Load Overview

0.17s
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:172 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network85% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
85%
adult content
59%
technology software
59%
news media journalism
54%
entertainment media
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
134.102.162.219Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
11--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142047F77329A063986558498E057430D9F20B143B50ACDBC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsz52bMy8Oldi:4hoC9J395CbZgLtSL3gcrsd2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183664:xySKJhEDEFISF7pwAFYEkAOgqObRsCMqwMjdvsAoIICJrCQh1LF2UaBBUcNzwkYAAQUJwEZnoI4AFA0iRiGEBApUgQAoCCBF

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:7f7f070ffffffcfc
Perceptual Hash:9221d2ed5e3d3370
Difference Hash:c0c0587860000004
Wavelet Hash:7f7f070700000300
Color Hash:#5d3a78

Other Hashes

Crop Resistant:c0c0587860000004

Scan History

Scan history not available

Unable to load historical scan data