Security Scan Report: device.ipos-net.app

Submitted: Mar 28, 2026, 10:43:26 AMCompleted: Mar 28, 2026, 10:45:08 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 device.ipos-net.app and was registered NaN years ago.

Submitted URL: https://device.ipos-net.app

The Cisco Umbrella rank of the primary domain is #164,995 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 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

404 Not Found

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

real estate property

(54%)

Domain Information

Domain 'device.ipos-net.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'device'. Count 8 characters in 'ipos-net' containing 3 vowels alongside 4 consonants, plus one hyphen. Word splitting yields 3 words: ipo, s, net. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://device.ipos-net.app

Page Load Overview

0.86s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:144 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property54% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
54%
documentation technical
54%
gambling betting
39%
news media journalism
30%
healthcare medical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
247.254.24.10United States
AS45102Alibaba US Technology Co., Ltd.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14FD02B6EC206134B9471269028C113D61C4F03A33032061C6E40642AD54A33EC1D32D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:hn8FQk+HdQ9xUkObRmEr6vetdzRx3G0CezLRRAyarxtV0rK+Kqz:hnMQku2xReRmRvetdzRxGezL3Ayar3il

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:1f5e8c32d6c02f2937498989ac807fa5

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:0f9fffffffffffff
Perceptual Hash:991919191f1f0fc7
Difference Hash:b020000000000000
Wavelet Hash:00f0f0f0f0f0f0f0
Color Hash:#40bf60

Other Hashes

Crop Resistant:b020000000000000

Scan History

Scan history not available

Unable to load historical scan data