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

Submitted: May 12, 2026, 6:18:07 PMCompleted: May 12, 2026, 6:19:48 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is gruoja.cdn-settings.appsflyersdk.com and was registered NaN years ago.

Submitted URL: https://gruoja.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: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

gruoja.cdn-settings.appsflyersdk.com

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

Domain 'gruoja.cdn-settings.appsflyersdk.com' uses the commercial generic top-level domain (.com) with subdomain 'gruoja.cdn-settings'. The registrable portion 'appsflyersdk' spans 12 characters holding 2 vowels versus 10 consonants. Splitting it apart reveals three words: apps, flyers, dk. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.20s
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
265.9.175.101United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140048F773296063985558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:R/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPk2bMy8OldG:yhoC9JSqzzbs6okSjggcps82eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185331:gIigCSESZOmAfYCAHAQmar5KEUBRcMGggIgBBDCFEmFggFDUZaDRAISAwJoCDMQRJgMRAA0BDBDZ8adKBor6hNsAOQkI7NR2

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#ca6ce0

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data