ScanMalware.com

Security Scan Report: luminpdf.com

Redirected to:
https://www.luminpdf.com/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/a9482114-a97a-4244-a371-b609e1f5ca7cDomain and IP registration (RDAP)/api/v1/rdap/a9482114-a97a-4244-a371-b609e1f5ca7cHow often this domain was scanned/api/v1/domain/stats/luminpdf.comScan history for this domain/api/v1/domain/history/luminpdf.com?limit=15
This website contacted 15 IPs in 2 countries across 40 domains to perform 214 HTTP transactions. The main domain is luminpdf.com and was registered 12 years ago.

Submitted URL: https://luminpdf.com

Effective URL:
https://www.luminpdf.com/
Redirected

The Cisco Umbrella rank of the primary domain is #91,389 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

The site shows no malicious indicators, has an old reputable domain, and contains no credential collection forms.

Safety Factors (5)
Established domain age
No forms collecting credentials
No malicious IoC or YARA detections
Low reputation risk (top 100k)
Informational IDS alerts only
Domain age information unavailable

Details

Page Title

Lumin | Intelligent Document Workflow Managementother network

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'luminpdf.com' is registered without a subdomain. The registrable portion 'luminpdf' spans 8 characters split between two vowels and 6 consonants. Segmentation suggests three words: lumi, n, pdf. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://luminpdf.com

Page Load Overview

15.23s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:98 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical74% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
74%
government public service
40%
news media journalism
40%
real estate property
38%
technology software
36%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18104.16.137.209United States
AS13335Cloudflare, Inc.
1465.8.131.34United States
AS16509Amazon.com, Inc.
14104.18.1.22United States
AS13335Cloudflare, Inc.
14143.204.181.96United States
AS16509Amazon.com, Inc.
14142.251.127.84United States
AS15169Google LLC
14142.250.154.97United States
AS15169Google LLC
14146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
143.233.158.25Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
14104.17.208.5United States
AS13335Cloudflare, Inc.
1465.9.175.85United States
AS16509Amazon.com, Inc.
21415--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F374D777F064D72B401B9E8EF2361F34DAC4D4ABE9925DE8A39CCAE44252CB257F5402

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ieoHLebx/c64Jysq7vqsGF61eYgfRdRcORsIaPII8xoNtBI8gQrt9jn2HpTzZWZH:sreka1ylcOVyI8gQb72HpFD0bQi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:339086:YzQgYgEI2qCiAXIwICMqDtEhDyNwgAAUQEmApLkokjyMXBBAIEofQRIACQQAI0ADQIDEAJGoTNZ6RoQCEKYBBAGkQEDKVDgq

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:fd83839fff0717ff
Perceptual Hash:bc79c2d2d24e6869
Difference Hash:4916372800656500
Wavelet Hash:a883819fff0500ff
Color Hash:#6c6ce0

Other Hashes

Crop Resistant:4916372800656500

Scan History

Scan history not available

Unable to load historical scan data