Security Scan Report: ilovepdfonline.in

Redirected to:
https://ilovepdfonline.in/remove-pages/
Submitted: May 4, 2026, 9:03:40 AMCompleted: May 4, 2026, 9:05:14 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 41 HTTP transactions. The main domain is ilovepdfonline.in and was registered NaN years ago.

Submitted URL: https://ilovepdfonline.in/?p=60

Effective URL: https://ilovepdfonline.in/remove-pages/Redirected

AI Security Verdict

Low Risk

Confidence: 78%

4
Risk Score

Low risk site offering PDF tools; no phishing or malware indicators detected.

Risk Factors
Unranked domain with low reputation
Recent domain registration (<180 days)
High JavaScript obfuscation score (potentially suspicious code)
Safety Factors
Self‑branding matches the domain (no brand impersonation)
No malicious Indicators of Compromise detected
No password or payment fields in forms
No JavaScript malware patterns or network IDS alerts
Domain age information unavailable

Details

Page Title

Remove Pages - ILovePDFOnline❤️

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(50%)

Domain Information

You're looking at domain 'ilovepdfonline.in' on the Indian country-code top-level domain (.in) without a subdomain. The registrable portion 'ilovepdfonline' spans 14 characters split between six vowels and eight consonants. Splitting it apart reveals four words: i, love, pdf, online. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ilovepdfonline.in/?p=60

Page Load Overview

2.49s
Total Load Time
41
HTTP Requests
8
Domains
462 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:2,168 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
50%
documentation technical
36%
news/blog
35%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.110.95United States
AS15169Google LLC
5216.239.34.36United States
AS15169Google LLC
5192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
5142.251.13.97United States
AS15169Google LLC
5104.18.1.22United States
AS13335Cloudflare, Inc.
5142.250.154.94United States
AS15169Google LLC
5142.251.127.84United States
AS15169Google LLC
5145.223.17.108Mumbai, Maharashtra, India
AS47583Hostinger International Limited
418--

Detected Technologies14

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CDA34AE2B848203A015F5BDEF31A722976A94157CF0A1761B3FD822CC7D6FE154A271E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cXlOypbrRU4ZdE8XMe+epeMeYVP32DEOfZQeZCBhqF8NEeaph48AGlbLK+y/:cXln9rfdE8XphqF8NEe448AGVLg/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98048:AHQMyDlCBMAgFZCFYhCbBNQBIACIi0nl0vAcDEGMiAAgeBJgQiyAIA0JxAYpYCBWQAhUUg0AyQEIGJJwhgGAZQowA6UEMgmo

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:ff00001838381800
Perceptual Hash:d8e336c9b6a1b289
Difference Hash:002105313333330c
Wavelet Hash:fff0c0f8f8b8b800
Color Hash:#583a78

Scan History

Scan history not available

Unable to load historical scan data