Security Scan Report: embeds.ipaper.io

Submitted: Dec 3, 2025, 11:49:23 AMCompleted: Dec 3, 2025, 11:51:00 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is embeds.ipaper.io and was registered NaN years ago.

Submitted URL: https://embeds.ipaper.io/

The Cisco Umbrella rank of the primary domain is #114,125 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security threats.

Safety Factors
Long-established domain
No forms or data collection
No external links or redirects
Domain age information unavailable

Details

Page Title

404 - File or directory not found.

Scan Type

public

Language

🇺🇸

English

(56% confidence)

Category

documentation technical

(56%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'embeds.ipaper.io' is registered and includes subdomain 'embeds'. Its registrable label 'ipaper' stretches across 6 characters split between 3 vowels and three consonants. It segments into 2 words: i, paper. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://embeds.ipaper.io/

Page Load Overview

0.19s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:56%
Script Type:Latin
Text Length:193 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical56% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
56%
news media journalism
37%
adult content
32%
government public service
27%
finance banking
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
254.194.230.142Dublin, Leinster, Ireland
AS16509AMAZON-02
134.243.102.154Dublin, Leinster, Ireland
AS16509AMAZON-02
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F121622AD3483054F68381C072B237C13E06868BE16F1B68A562F265E0D6AF3C1E23C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hM0mIJGsq+MG12k7JZRGg1Hu+d67Ycv2h0q8QEF3qpHIj:lmILq+dM0JZl1Hu+d67d2hdvpHK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1213:AAAAoEEgAAAAAACgAAAIAgAAAkAAAAAgACAABAAAABABAABAAAEAAABIAAgAAAAAgAAABABAAgAAEECDQAAAAAACQAAAEQAA

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:bb39787870747462
Difference Hash:1073c31000000000
Wavelet Hash:000fff33f0f0f0f0
Color Hash:#40bf59

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data