Summary
API
Submitted URL: https://doc-sig.github.io/mx/
AI Security Verdict
Confirmed Scam
Confidence: 90%
Fake DocuSign page on a GitHub Pages subdomain that borrows DocuSign's favicon and branding to push victims into pasting an attacker-supplied code at Microsoft's device sign-in — a device-code phishing account-takeover lure.
Risk Factors (5)
Details
Page Title
Free Docusign Account: Sign Documents for Free | Docusign
Scan Type
public
Domain Name Analysis
Domain 'doc-sig.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'doc-sig'. Count 6 characters in 'github' with two vowels and four consonants. Tokenizing the label suggests 3 words: g, it, hub. Median word length comes out to two 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 |
|---|---|---|---|
| 5 | 185.199.109.153Fastly · CDN | United States | AS54113Fastly, Inc. |
| 1 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 1 | 3.33.186.135Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 1 | 104.18.10.79Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 162.253.104.208 | United States | AS20141Quality Technology Services, LLC |
| 1 | 13.33.187.25Cloudfront · CDN | New York, New York, United States | AS16509Amazon.com, Inc. |
| 1 | 52.35.137.158Aws · CLOUD | Boardman, Oregon, United States | AS16509Amazon.com, Inc. |
| 1 | 185.199.111.153Fastly · CDN | United States | AS54113Fastly, Inc. |
| 1 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 19 | 15 | - | - |
Detected Technologies5
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