Security Scan Report: y1nyyi.cdn-settings.appsflyersdk.com

Submitted: Dec 20, 2025, 2:01:19 PMCompleted: Dec 20, 2025, 2:02:16 PMpubliccompleted
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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 y1nyyi.cdn-settings.appsflyersdk.com and was registered NaN years ago.

Submitted URL: https://y1nyyi.cdn-settings.appsflyersdk.com

The Cisco Umbrella rank of the primary domain is #436 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain with long registration history
High Cisco Umbrella ranking indicating reputable hosting
Domain age information unavailable

Details

Page Title

y1nyyi.cdn-settings.appsflyersdk.com

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'y1nyyi.cdn-settings.appsflyersdk.com' uses the commercial generic top-level domain (.com) and includes subdomain 'y1nyyi.cdn-settings'. Count 12 characters in 'appsflyersdk' split between two vowels and ten consonants. Tokenizing the label suggests three words: apps, flyers, dk. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://y1nyyi.cdn-settings.appsflyersdk.com

Page Load Overview

1.86s
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:296 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
165.9.175.91United States
AS16509AMAZON-02
165.9.175.31United States
AS16509AMAZON-02
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB048F77329A063D86558498E05B83099F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszS2bMy8OldB:1hoC9JSqzzbs6o3Sj3gcrsO2eAb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184686:AGZICQUEQIJOSSIQpMEEQdWSAgdBcIBoAWhIRCGGSXLCxpoAMEAAAnCYaRQgMYgMUSCyQQABMg3MgpYqYaEEDZJEJAyLDZCO

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:ff7f0703fffffefc
Perceptual Hash:9229d2a95e2d73d2
Difference Hash:c0c05e6660000004
Wavelet Hash:7f7f03010f0f0f0c
Color Hash:#87c5b0

Other Hashes

Crop Resistant:c0c05e6660000004

Scan History

Scan history not available

Unable to load historical scan data