Security Scan Report: cdn.ipaper.io

Submitted: Nov 24, 2025, 12:55:32 AMCompleted: Nov 24, 2025, 12:57:35 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cdn.ipaper.io and was registered NaN years ago.

Submitted URL: https://cdn.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

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age over 12 years (well-established)
No malicious Indicators of Compromise matches found
No credential or payment forms present
No brand impersonation detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'cdn.ipaper.io' is registered with subdomain 'cdn'. The second-level label 'ipaper' is 6 characters long holding three vowels versus three consonants. Breaking it apart gives 2 words: i, paper. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.20s
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

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
218.245.31.22United States
AS16509AMAZON-02
018.245.31.129United States
AS16509AMAZON-02
018.245.31.100United States
AS16509AMAZON-02
018.245.31.68United States
AS16509AMAZON-02
24--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A64198A1DA931D69113BC5E02AFD776532DAC027D59B2218FE9C93D8DFC9D40B821E05

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:QPiFWN1QGTUe0427F9kCoRcAk1ncqugukVVANymoRVWgrtF:8iFWN15AN427zFoRcXczgumVAN9oRVWA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2408:AAAAAACQgIAgAAEEAEAJAEAACCEAAAIICkAIAIAAAAICEAIAAUYAAhgAEgBAAACAAESAEAIABABAAARAIAEBQQAAKAOgEgAA

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:9c1c1c1c1d1f1f1f
Difference Hash:f000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#c6d279

Other Hashes

Crop Resistant:f000000000000000

Scan History

Scan history not available

Unable to load historical scan data