Security Scan Report: uqikgl-inapps.appsflyersdk.com

Submitted: Aug 25, 2026, 6:05:00 AMCompleted: Aug 25, 2026, 6:06:42 AMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is uqikgl-inapps.appsflyersdk.com and was registered 7 years ago.

Submitted URL: https://uqikgl-inapps.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

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'uqikgl-inapps.appsflyersdk.com' is registered with subdomain 'uqikgl-inapps'. Its registrable label 'appsflyersdk' stretches across 12 characters containing two vowels alongside ten consonants. Segmentation suggests 3 words: apps, flyers, dk. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of uqikgl-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
23.161.75.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
21--

Page Statistics

2
Requests
1
Unique Domains
0.7 KB
Total Size

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:#5356ac

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data