Security Scan Report: n21lbs-inapps.appsflyersdk.com

Submitted: Mar 28, 2026, 1:26:29 AMCompleted: Mar 28, 2026, 1:28:14 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is n21lbs-inapps.appsflyersdk.com and was registered NaN years ago.

Submitted URL: https://n21lbs-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: 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

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

real estate property

(41%)

Domain Information

Domain 'n21lbs-inapps.appsflyersdk.com' uses the commercial generic top-level domain (.com), featuring subdomain 'n21lbs-inapps'. The registrable portion 'appsflyersdk' spans 12 characters with two vowels and ten consonants. It segments into three words: apps, flyers, dk. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://n21lbs-inapps.appsflyersdk.com

Page Load Overview

5.15s
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

real estate property41% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.32.118.132United States
21--

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:00ffffffffffffff
Perceptual Hash:9c1c1c1c1c1f1f3f
Difference Hash:f000000000000000
Wavelet Hash:00efcfcf00000000
Color Hash:#c5b387

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data