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Security Scan Report: cnam4c-inapps.appsflyersdk.com

Submitted: Nov 24, 2025, 10:11:45 PMCompleted: Nov 24, 2025, 10:14:33 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-inapps.appsflyersdk.com.

Submitted URL: https://cnam4c-inapps.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

Legitimate site with no apparent security concerns.

Safety Factors
High Cisco Umbrella ranking (top 500)
Associated with reputable provider AppsFlyer
No suspicious content or forms
No external malicious domains referenced
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

Domain 'cnam4c-inapps.appsflyersdk.com' uses the commercial generic top-level domain (.com), featuring subdomain 'cnam4c-inapps'. The registrable portion 'appsflyersdk' spans 12 characters containing two vowels alongside ten consonants. Segmentation suggests 3 words: apps, flyers, dk. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.16s
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
299.84.149.203United States
AS16509AMAZON-02
018.245.33.59United States
AS16509AMAZON-02
018.245.33.176United States
AS16509AMAZON-02
018.245.33.158United States
AS16509AMAZON-02
018.245.33.132United 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:#2da6d2

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

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