Security Scan Report: img.applovin.com

Submitted: Apr 14, 2026, 8:02:57 AMCompleted: Apr 14, 2026, 8:04:55 AMpubliccompleted
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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 img.applovin.com and was registered NaN years ago.

Submitted URL: https://img.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

img.applovin.com

Scan Type

public

Language

🇺🇸

English

(66% confidence)

Category

unknown

(0%)

Domain Information

Domain 'img.applovin.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'img'. Its registrable label 'applovin' stretches across 8 characters with 3 vowels and five consonants. Word splitting yields 2 words: app, lovin. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.13s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:66%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:66%
Script Type:Latin
Text Length:42 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
234.160.119.165Kansas City, Missouri, United States
AS396982Google LLC
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz62bMy8OldC:7hoC9JSqzzbs6o3Sj3gcrsG2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184471:ajyiEpBoAQYD4cCqJAYgQASJUIQoG5loIHUlLLEDJgAJJCZAGDjADkiwBLEBRKLBFDBABQAXHJB4RAUi2QdcD8LBBGkEVKQI

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#e06caf

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data