Security Scan Report: res4.applovin.com

Submitted: Dec 7, 2025, 12:48:59 AMCompleted: Dec 7, 2025, 12:50:58 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is res4.applovin.com and was registered NaN years ago.

Submitted URL: https://res4.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

Legitimate site with no apparent security risks.

Safety Factors
Established domain with long registration history
High Cisco Umbrella ranking indicating reputable domain
Absence of suspicious forms or data collection
No Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'res4.applovin.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'res4'. The core label 'applovin' covers 8 characters with 3 vowels and 5 consonants. It segments into two words: app, lovin. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://res4.applovin.com/

Page Load Overview

0.24s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:226 chars
Detector Agreement:100%

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
234.49.44.84Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
12600:1901:0:e154::Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
22--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146418AA5E9E318651137C5F11AFD676632DBC037C19E6315F79C6398DFC9D40B811901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:QPiFWN1QGTUe0427F9HAk1ncqugukVPANyqgrtF:8iFWN15AN427zHXczgumPANFgrtF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2338:AAAAAAAYgIAgAAABAEAJAEABCIEgAAIICEAAAIBAIAIDEAAAAUgEAxgAEARAAACACEQAEAKAIAEAAABAMAABQQAAIgGgGgAA

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:00ffffffffffffff
Perceptual Hash:89090d1d1d1f1f3f
Difference Hash:f000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#d2b079

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data