Security Scan Report: ilovepdfonline.in

Redirected to:
https://ilovepdfonline.in/merge-pdf/
Submitted: May 2, 2026, 11:30:21 PMCompleted: May 2, 2026, 11:31:51 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 42 HTTP transactions. The main domain is ilovepdfonline.in and was registered NaN years ago.

Submitted URL: https://ilovepdfonline.in/?p=56

Effective URL: https://ilovepdfonline.in/merge-pdf/Redirected

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Site appears low risk; no clear malicious activity, but recent unranked domain and heavy JS obfuscation suggest caution.

Risk Factors
Recent domain registration (<180 days)
Unranked domain reputation
High JavaScript obfuscation score without malicious payload
Safety Factors
Self‑branding matches the domain (ILovePDFOnline)
No password or payment fields in forms
No external malicious links or IoC matches
No network IDS alerts or malware YARA matches
Domain age information unavailable

Details

Page Title

Merge PDF - ILovePDFOnline❤️

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

Domain 'ilovepdfonline.in' uses the Indian country-code top-level domain (.in). Its registrable label 'ilovepdfonline' stretches across 14 characters holding six vowels versus eight consonants. Splitting it apart reveals 4 words: i, love, pdf, online. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ilovepdfonline.in/?p=56

Page Load Overview

4.22s
Total Load Time
42
HTTP Requests
8
Domains
509 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,658 chars
Detector Agreement:67%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
corporate
35%
documentation technical
32%
technology software
27%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.20.95United States
AS15169Google LLC
5192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
5216.239.32.36United States
AS15169Google LLC
5142.251.110.97United States
AS15169Google LLC
5142.250.154.94United States
AS15169Google LLC
5104.18.1.22United States
AS13335Cloudflare, Inc.
5145.223.17.108Mumbai, Maharashtra, India
AS47583Hostinger International Limited
5142.251.127.84United States
AS15169Google LLC
428--

Detected Technologies14

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17EA34BE2B948203A015F57DEF31A722D7699415ACF0616A1B2FDC22CC7D6FE124B271E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/1sln9rXdEh0VG9cXcqF8NEeb48AGVLg/:9wQ0j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101455:hiIIhASRCTmmSjEEAZhlQEyAQGAgA21EE6RmQePFMBCjCSRCAwEOygEWABZb8UBAxyECiIGM0R3EPQhBJidyTZUpAEIw6YGJ

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:7c00001838383818
Perceptual Hash:c86763cde296329c
Difference Hash:c023053133333331
Wavelet Hash:fef0c0f8fc383818
Color Hash:#e0d66c

Scan History

Scan history not available

Unable to load historical scan data