Security Scan Report: gxo9tx-inapps.appsflyersdk.com

Submitted: Dec 4, 2025, 11:50:08 AMCompleted: Dec 4, 2025, 11:52:06 AMpubliccompleted
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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 gxo9tx-inapps.appsflyersdk.com.

Submitted URL: https://gxo9tx-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

No security concerns detected; the site appears legitimate.

Safety Factors
Domain is a subdomain of appsflyersdk.com, a known legitimate SDK provider
Page returns a standard XML error without suspicious content
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

The domain 'gxo9tx-inapps.appsflyersdk.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'gxo9tx-inapps'. Its registrable label 'appsflyersdk' stretches across 12 characters split between two vowels and ten consonants. Tokenizing the label suggests 3 words: apps, flyers, dk. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gxo9tx-inapps.appsflyersdk.com/

Page Load Overview

0.10s
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
299.84.149.196United States
AS16509AMAZON-02
013.32.118.132New York, New York, United States
AS16509AMAZON-02
013.32.118.144New York, New York, United States
AS16509AMAZON-02
013.32.118.57New York, New York, United States
AS16509AMAZON-02
013.32.118.45New York, New York, United States
AS16509AMAZON-02
25--

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:0003ffffffffffff
Perceptual Hash:af2f2f0a4a7270f0
Difference Hash:6b76004000000000
Wavelet Hash:0001cfcf00000000
Color Hash:#e06c92

Other Hashes

Crop Resistant:6b76004000000000

Scan History

Scan history not available

Unable to load historical scan data