Security Scan Report: jf8kqj-cdn-settings.appsflyersdk.com

Submitted: Sep 8, 2026, 3:50:19 AMCompleted: Sep 8, 2026, 3:51:59 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is jf8kqj-cdn-settings.appsflyersdk.com and was registered 7 years ago.

Submitted URL: https://jf8kqj-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

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'jf8kqj-cdn-settings.appsflyersdk.com' uses the commercial generic top-level domain (.com) with subdomain 'jf8kqj-cdn-settings'. The registrable portion 'appsflyersdk' spans 12 characters with two vowels and ten consonants. It segments into 3 words: apps, flyers, dk. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jf8kqj-cdn-settings.appsflyersdk.com

Page Load Overview

0.22s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

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
113.33.50.220Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
113.33.50.205Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

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:9c1c1c1c1d1f1f1f
Difference Hash:f000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#3a7378

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data