Security Scan Report: inabch-attr.appsflyersdk.com

Submitted: Dec 24, 2025, 5:19:03 PMCompleted: Dec 24, 2025, 5:31:49 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is inabch-attr.appsflyersdk.com and was registered NaN years ago.

Submitted URL: https://inabch-attr.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 'inabch-attr.appsflyersdk.com' uses the commercial generic top-level domain (.com) with subdomain 'inabch-attr'. The core label 'appsflyersdk' covers 12 characters with two vowels and ten consonants. Splitting it apart reveals 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://inabch-attr.appsflyersdk.com

Page Load Overview

30.11s
Total Load Time
3
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
118.66.92.79United States
AS16509AMAZON-02
118.66.92.226United States
AS16509AMAZON-02
118.66.92.229United States
AS16509AMAZON-02
33--

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:#1f8293

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data