Security Scan Report: pdf-viewer.cdn.greenhouse.io

Submitted: May 2, 2026, 9:12:19 AMCompleted: May 2, 2026, 9:13:59 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is pdf-viewer.cdn.greenhouse.io and was registered NaN years ago.

Submitted URL: https://pdf-viewer.cdn.greenhouse.io

The Cisco Umbrella rank of the primary domain is #30,901 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

documentation technical

(32%)

Domain Information

Domain 'pdf-viewer.cdn.greenhouse.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'pdf-viewer.cdn'. Its registrable label 'greenhouse' stretches across 10 characters containing 5 vowels alongside 5 consonants. Splitting it apart reveals one word: greenhouse. Median word length is ten characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pdf-viewer.cdn.greenhouse.io

Page Load Overview

0.58s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:456 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical32% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
32%
cryptocurrency blockchain
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1475186B1DAA30976023BC9E01AFF275632EAD037D19A6255FB9C5398CFCED40BC21901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9/k1ncqugukVPANyAgN+rFFNKbvertF:niFWN15AN427z4czgumPANhgNyLNger7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2920:BCAAMAAEAAAABAAAEAMAoIAIBEgIAAAgAAAQIAADCoEBBAIAAEKYARJABAAEgAUAABACAgAAEIlAACAgCAAAAAACAIECAGIB

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:000fffffffffffff
Perceptual Hash:93131b1b1f1d1c7c
Difference Hash:f8d8000000000000
Wavelet Hash:0007ffff00000000
Color Hash:#d2ca2d

Other Hashes

Crop Resistant:f8d8000000000000

Scan History

Scan history not available

Unable to load historical scan data