Security Scan Report: www.i2pdf.com

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Submitted: Feb 11, 2026, 10:45:22 AMCompleted: Feb 11, 2026, 10:47:23 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 i2pdf.com and was registered NaN years ago.

Submitted URL: https://www.i2pdf.com/fr

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate PDF tool site with no security concerns.

Safety Factors
Well-established domain
No malicious Indicators of Compromise
No sensitive data collection forms
No brand impersonation
No malware detected
Domain age information unavailable

Details

Page Title

www.i2pdf.com

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

blog personal website

(99%)

Domain Information

The domain name 'www.i2pdf.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The core label 'i2pdf' covers 5 characters with one vowel and three consonants; bonus characters include 1 digit. It segments into 3 words: i, 2, pdf. Average segment length settles at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.i2pdf.com/fr

Page Load Overview

25.43s
Total Load Time
61
HTTP Requests
13
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:8,796 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website99% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
99%
technology software
99%
government public service
98%
education learning
98%
news media journalism
95%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6196.87.153.67Saint Paul, Minnesota, United States
AS7922Comcast Cable Communications, LLC
611--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8OldQ:HhoC9JSqzzbs6o3Sj3gcrsQ2eAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184462:HgAgoJJIQEgQmTJMOmFWlgzISyRktLAMECisVpsACFK1iCyjInELCQNQACAVpIAQgxFXy9GmsDwEQAQlgsSRIWItmWjCDE4Z

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:3f1f030f00000000
Color Hash:#bf5340

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data