ScanMalware.com

Security Scan Report: docusign-server.github.io

Submitted: Aug 15, 2026, 12:45:16 AMCompleted: Aug 15, 2026, 12:46:39 AMpubliccompleted

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is docusign-server.github.io and was registered NaN years ago.

Submitted URL: https://docusign-server.github.io/RFP2026/

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site mimics DocuSign branding on an unranked GitHub subdomain without forms, indicating moderate risk of brand impersonation.

Risk Factors
Brand impersonation on a non‑official domain
Unranked / low‑reputation domain
Subdomain on a hosting platform with unknown age
Potential phishing lure via fake DocuSign links
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

DocuSign – Document Ready

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(91%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'docusign-server.github.io' is registered and includes subdomain 'docusign-server'. The second-level label 'github' is 6 characters long with 2 vowels and four consonants. It segments into three words: g, it, hub. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://docusign-server.github.io/RFP2026/

Page Load Overview

3.94s
Total Load Time
5
HTTP Requests
3
Domains
13 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,442 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software91% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
91%
documentation technical
77%
download file sharing
66%
government public service
60%
healthcare medical
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
320.12.135.148Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
123.76.204.155Schiphol, North Holland, Netherlands
AS20940Akamai International B.V.
1185.199.108.153United States
AS54113Fastly, Inc.
53--

Page Statistics

5
Requests
3
Unique Domains
14.0 KB
Total Size

Detected Technologies3

HSTS
40%
GitHub Pages
40%
Fastly
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EBD1C7A3D2F221AB28039894F722EF46371240A74A42CD15FE9C967DBF48D549D7378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Vry4whJVh6blBoepX+o/saoNYX/vKVhgBTsOdsCMCGb/:Vr1XHKVosO7Mjb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6562:QASDYhF0RaBAYhEAEisoApgAUDkCgAAAIAcAOQAiEhARMRpADEoCYQcRCBAiRCAAQUGQIiTAAoA5EoUi6YKAgcQiBCAUQABw

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:c7c3c3ffffffefef
Perceptual Hash:b37622ce89c9cccc
Difference Hash:0c8c9c70181c1c1d
Wavelet Hash:c0c0c0fcdec6c2c3
Color Hash:#2d6286

Other Hashes

Crop Resistant:0c8c9c70181c1c1d,000002e8c4716130

Scan History

Scan history not available

Unable to load historical scan data