Security Scan Report: eabuph.inapps.appsflyersdk.com

Submitted: Jan 9, 2026, 3:32:05 AMCompleted: Jan 9, 2026, 3:33:53 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is eabuph.inapps.appsflyersdk.com and was registered NaN years ago.

Submitted URL: https://eabuph.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: 96%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain
High Cisco Umbrella reputation
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'eabuph.inapps.appsflyersdk.com' on the commercial generic top-level domain (.com) with subdomain 'eabuph.inapps'. The second-level label 'appsflyersdk' is 12 characters long holding two vowels versus 10 consonants. Tokenizing the label suggests 3 words: apps, flyers, dk. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eabuph.inapps.appsflyersdk.com

Page Load Overview

2.26s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:9 chars
Detector Agreement:0%

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
254.192.35.127United States
AS16509AMAZON-02
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138C08CFAC021490EAB3526F8CA82B9A59E44920DC2225E40BAD0A1E4E448AA780C32D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYSRo/v4Ab0qa:qzxV/5VHHoB96D3ne1k9YSEvJ8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:ce72003a26181fae6062282f15f4f3f8

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:7fffffffffffffff
Perceptual Hash:83030707070f3fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#e0c76c

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data