Security Scan Report: cnam4c-cdn-settings.appsflyersdk.com

Submitted: Nov 24, 2025, 1:39:00 PMCompleted: Nov 24, 2025, 1:42:03 PMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cnam4c-cdn-settings.appsflyersdk.com.

Submitted URL: https://cnam4c-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
High reputation in Cisco Umbrella
Subdomain of known SDK provider appsflyersdk.com
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'cnam4c-cdn-settings.appsflyersdk.com' on the commercial generic top-level domain (.com) and includes subdomain 'cnam4c-cdn-settings'. The registrable portion 'appsflyersdk' spans 12 characters holding 2 vowels versus 10 consonants. Tokenizing the label suggests 3 words: apps, flyers, dk. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cnam4c-cdn-settings.appsflyersdk.com/

Page Load Overview

0.17s
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
213.32.118.132New York, New York, United States
AS16509AMAZON-02
013.33.216.209New York, New York, United States
AS16509AMAZON-02
013.33.216.43New York, New York, United States
AS16509AMAZON-02
013.33.216.126New York, New York, United States
AS16509AMAZON-02
013.33.216.54New York, New York, United States
AS16509AMAZON-02
25--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A64198A1DA931D69113BC5E02AFD776532DAC027D59B2218FE9C93D8DFC9D40B821E05

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:QPiFWN1QGTUe0427F9kCoRcAk1ncqugukVVANymoRVWgrtF:8iFWN15AN427zFoRcXczgumVAN9oRVWA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2408:AAAAAACQgIAgAAEEAEAJAEAACCEAAAIICkAIAIAAAAICEAIAAUYAAhgAEgBAAACAAESAEAIABABAAARAIAEBQQAAKAOgEgAA

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:9c1c1c1c1d1f1f1f
Difference Hash:f000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#2d7386

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data