Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is apps.docusign.com and was registered NaN years ago.
Submitted URL: https://s.docusign.net/1I9w34hntjJSY3inM6AFVEC
Effective URL: https://apps.docusign.com/sign/app?ti=210df4eb526147a08629957a907a1eeb&signing-config=%7B%22SigningAppDisabledFlags%22%3A%2237665_Fix_Modal_Manager_Hide%2CFIX_SIGN_34654_toolbarVisilbity%22%2C%22EnableKazmonTelemetryRecorder%22%3Atrue%2C%22NotaryFetchSettings%22%3A%7B%22LiveoakTokenRequestTimeoutSeconds%22%3A30%2C%22EnableRemoteNotaryAuth%22%3Atrue%2C%22IsThirdPartyNotary%22%3Afalse%2C%22LiveoakTokenExchangeOrigin%22%3A%22%22%7D%2C%22WebFormsSettings%22%3Anull%2C%22OneDSMessagingOrigins%22%3Anull%2C%22FocusedViewSource%22%3Anull%7D&site=na2.docusign.netRedirected
The Cisco Umbrella rank of the primary domain is #7,719 of the top 1 million websitesTop 10K Site
AI Security Verdict
Low Risk
Confidence: 92%
The page appears to be a legitimate Docusign signing page with no malicious indicators.
Risk Factors
Safety Factors
Details
Page Title
Review and sign documents on Docusign | Docusign
Scan Type
public
Language
English
Category
government public service
(80%)Domain Information
You're looking at domain 's.docusign.net' on the network infrastructure generic top-level domain (.net); it also runs on subdomain 's'. The registrable portion 'docusign' spans 8 characters split between three vowels and 5 consonants. Breaking it apart gives three words: do, cu, sign. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 27 | 20.12.135.153 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 26 | 20.12.135.147 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 26 | 20.4.162.54 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 79 | 3 | - | - |
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data