Security Scan Report: api93.ilovepdf.com

Submitted: Mar 26, 2026, 4:00:24 AMCompleted: Mar 26, 2026, 4:02:00 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is api93.ilovepdf.com and was registered NaN years ago.

Submitted URL: https://api93.ilovepdf.com

The Cisco Umbrella rank of the primary domain is #23,233 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

news media journalism

(42%)

Domain Information

Within the commercial generic top-level domain (.com), 'api93.ilovepdf.com' is registered with subdomain 'api93'. The registrable portion 'ilovepdf' spans 8 characters holding 3 vowels versus 5 consonants. Tokenizing the label suggests three words: i, love, pdf. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api93.ilovepdf.com

Page Load Overview

2.12s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
Text Length:103 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism42% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
42%
adult content
37%
government public service
34%
healthcare medical
33%
documentation technical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
251.91.233.117France
AS16276OVH SAS
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8D02B728090942A637255DC4D81760455C9B209E5704C45F5C0A0D8C5D7A0EC803A44

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96zCFraN9mQWWLRAUVWR2oxRNdxELa:kxV7HfzCFWNAQX8RRxR7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:b67d74df6e790fb144338aa9f1020d0c

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:991d1d1d1d1d1d1d
Difference Hash:b000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#87a0c5

Other Hashes

Crop Resistant:b000000000000000

Scan History

Scan history not available

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