Security Scan Report: onpartage.online

Redirected to:
https://www.papermark.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 19 IPs in 2 countries across 14 domains to perform 110 HTTP transactions. The main domain is onpartage.online and was registered 3 days ago.

Submitted URL: https://onpartage.online/

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

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

Redirect from onpartage.online lands on Papermark's own official site. Legitimate SaaS marketing page: no forms, no credential collection, no threat-intel, hunting rule or IDS hits. Safe.

Safety Factors (5)
Redirect terminates on the brand's own official domain (www.papermark.com)
No forms of any kind on the page; nothing is collected
No Indicators of Compromise, malware, IDS or Safe Browsing signals
Third-party scripts come from well-ranked, mainstream hosts
Page text is consistent self-branding rather than a claim to be another organisation
Domain age information unavailable

Details

Page Title

Papermark | Secure data rooms for modern dealmakers

Scan Type

public

Domain Name Analysis

You're looking at domain 'onpartage.online' on the modern generic top-level domain (.online) with no subdomain. Its registrable label 'onpartage' stretches across 9 characters with four vowels and five consonants. Segmentation suggests 3 words: on, part, age. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Papermark Why Papermark? ~ Data Room Pricing Security ISO 27001 certified - SOC 2 Type II Introducing Dat Developers Blog Customers Close Deals Faster. The world's most ambitious dealmakers, fou...

Page Load Overview

3.47s
Total Load Time
10.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,898 chars
Detector Agreement:95%

All Detected Languages

🇺🇸en(98%)🇳🇱nl(2%)

Website Classification

Primary Category

documentation technical41% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
41%
corporate
35%
technology software
30%
healthcare medical
26%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20216.150.1.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
545.61.161.43Ogden, Utah, United States
AS14956RouterHosting LLC
5142.251.110.97Google · CDNUnited States
AS15169Google LLC
5142.251.14.95Google · CDNUnited States
AS15169Google LLC
5192.178.183.94Google · CDNUnited States
AS15169Google LLC
523.194.190.166Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5142.251.150.119Google · CDNUnited States
AS15169Google LLC
5142.251.20.149Google · CDNUnited States
AS15169Google LLC
5172.64.146.215Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5216.150.16.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
11019--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192F44B2E7210D53DDC875FC63A3E9D3D312CC18A93829A76D56CCA18568A87CDB67EC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:6T5p0Oklhp0OilTEAIp0Ojlu3Np0O8p0OC7Bdh+wBh+EdBfolRswl+q8eUaI:BlqlTEAmlw7BOTUaI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:741785:6qwsDFEI/JwoAkAMaOiAGigWiEkY7SxxrkkUJIAIIgiAZI0A2DLOL2ScEo03EYMSMzQAoqcIBVFZGQgCOJJx0YWgEPRACTVw

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:ff00793141041f3f
Perceptual Hash:88e9b7b0e187d6b0
Difference Hash:c39ba3e3b1adf6fd
Wavelet Hash:ff01793141151f1f
Color Hash:31e00000000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data