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Security Scan Report: doc-sig.github.io

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/90071e3d-55d1-4a3b-9044-1bf9f4a71505Domain and IP registration (RDAP)/api/v1/rdap/90071e3d-55d1-4a3b-9044-1bf9f4a71505How often this domain was scanned/api/v1/domain/stats/doc-sig.github.ioScan history for this domain/api/v1/domain/history/doc-sig.github.io?limit=15
This website contacted 12 IPs in 1 country across 8 domains to perform 19 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: https://doc-sig.github.io/mx/

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake DocuSign signing page on a GitHub Pages subdomain that impersonates Docusign and pushes a Microsoft device-code sign-in to hijack accounts. Do not enter any code.

Risk Factors (7)
Brand impersonation of Docusign (favicon, title, meta description) on a non-DocuSign host
Credential/account-takeover technique: Microsoft device-code sign-in lure with copyable verification code
Fake document-signing pretext with fabricated expiry pressure
Free/instant GitHub Pages subdomain with unknown creation date
Unranked domain (not in Cisco Umbrella top 1M) yet claiming to be a major brand
Phishing threat-intel report on the primary domain
Client-side fetches to an unranked third-party worker endpoint
Domain age information unavailable

Details

Page Title

Free Docusign Account: Sign Documents for Free | Docusign

Scan Type

public

Domain Name Analysis

The domain 'doc-sig.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'doc-sig'. Its registrable label 'github' stretches across 6 characters containing two vowels alongside four consonants. Word splitting yields three words: g, it, hub. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

® docusign. x reer omn eesti. Fie meaengtayte someones Sign 1426_pdf © Signature requested — expires in 24 hours Connection error. Please refresh the page. Sign in with your Microsoft account t...

Page Load Overview

21.08s
Total Load Time
831 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:880 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
63%
government public service
32%
adult content
29%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1142.251.14.97Google · CDNUnited States
AS15169Google LLC
13.33.186.135Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.10.79Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1162.253.104.208United States
AS20141Quality Technology Services, LLC
113.33.187.16Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
144.224.113.114Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
1185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
115.197.167.90Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1912--

Detected Technologies6

Varnish
40%
HSTS
40%
GitHub Pages
40%
Fastly
40%
Contentful
30%
Google Tag Manager
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16414726B3961631EE5D3CB199B523A897421E85FBD3359ECF00E57348BCD3E20D2264A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:E8tvbQ6KTDYlpwO/+eu38nsrosyytvVS4zpR9IIXcKxzRe2:EQjQ6j+sxYGWzRe2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:205348:giAgzRmgIIsGMlzoSQwBFpQQAHgcrIChAE0ABRKowCGYDrKsBNGRgSRCg6SII4okSAKLzLEAoQRDRJozQGEUjmTYVoEhAIgw

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:3f0f0f0f0f0f0fff
Perceptual Hash:9f07ce38c03ee0ce
Difference Hash:7a585e5a5b3e3a78
Wavelet Hash:0f0f0b0f030f0fbf
Color Hash:N/A

Other Hashes

Crop Resistant:7a585e5a5b3e3a78,fef0f6f6d6e6871e

Scan History

Scan history not available

Unable to load historical scan data