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

Submitted: Dec 25, 2025, 3:13:17 AMCompleted: Dec 25, 2025, 3:24:07 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 uoccfw.cdn-settings.appsflyersdk.com.

Submitted URL: https://uoccfw.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

AI analysis unavailable for this scan

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

documentation technical

(33%)

Domain Information

The domain name 'uoccfw.cdn-settings.appsflyersdk.com' uses the commercial generic top-level domain (.com) with subdomain 'uoccfw.cdn-settings'. Its registrable label 'appsflyersdk' stretches across 12 characters holding two vowels versus ten consonants. Breaking it apart gives 3 words: apps, flyers, dk. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

16.55s
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

documentation technical33% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
33%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13.174.113.70United States
AS16509AMAZON-02
13.174.113.40United States
AS16509AMAZON-02
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC5199A1EA931D69113BC5E01AFD776533DAC027D59B2218FE9C93D8DFC9D40B821E05

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9kCoRcAk1ncqugukVVANymoRVWgrtF:niFWN15AN427zFoRcXczgumVAN9oRVWA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2446:ACAAEAAEAAAABAAAEAGQoIAIBEgIAAAmACAAYAACAoEABAAgAECIARBAAAAEoAQAABACAkAAEAlAACAgCAAAAAAAAAACIGEB

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:9c1c1c1c1c1f1f3f
Difference Hash:f000000000000000
Wavelet Hash:00efcfcf00000000
Color Hash:#6f2dd2

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data