Security Scan Report: iv9nuc.inapps.appsflyersdk.com

Submitted: Feb 7, 2026, 9:27:45 AMCompleted: Feb 7, 2026, 9:29:41 AMpubliccompleted
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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 iv9nuc.inapps.appsflyersdk.com and was registered NaN years ago.

Submitted URL: https://iv9nuc.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
Well‑established domain (>6 years old)
High Cisco Umbrella ranking (top 500)
No external links or redirects
No credential or payment collection fields
No malicious Indicators of Compromise or malware detected
Domain age information unavailable

Details

Page Title

iv9nuc.inapps.appsflyersdk.com

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'iv9nuc.inapps.appsflyersdk.com' is registered; it also runs on subdomain 'iv9nuc.inapps'. The core label 'appsflyersdk' covers 12 characters containing two vowels alongside 10 consonants. Breaking it apart gives 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://iv9nuc.inapps.appsflyersdk.com

Page Load Overview

12.71s
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
213.32.99.124New York, New York, United 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

T164048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8Oldi:ChoC9JSqzzbs6o3Sj3gcrsw2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184541:GIYQKQAaQEgSMA4GzAJGAGghDCgtMgECOcktpGBUxRHiUBxojBYoBQyXEAD6qMogIYxCCGRIgrcJs1YQMJAQJEA9BJABiIAQ

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:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:3c1c000c0f0f0f0f
Color Hash:#9279d2

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data