Security Scan Report: www.hngvercldoc.vercel.app

Redirected to:
https://hngvercldoc.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 2 domains to perform 15 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.hngvercldoc.vercel.app/

Effective URL:
https://hngvercldoc.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

DocuSign-branded sign-in page on an unrelated free vercel.app subdomain, not docusign.com — a brand-impersonation credential-harvesting setup. Do not enter credentials.

Risk Factors (4)
Brand impersonation of DocuSign on a non-DocuSign domain
Credential-collection sign-in flow (email/phone entry then Next) mimicking a financial/legal document service
Free instant-publishing hosting subdomain with unknown actual creation date
Unranked domain with no legitimate association to the impersonated brand
Domain age information unavailable

Details

Page Title

Sign In - DocuSign

Scan Type

public

Domain Name Analysis

The domain name 'www.hngvercldoc.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.hngvercldoc'. Count 6 characters in 'vercel' split between two vowels and 4 consonants. Breaking it apart gives two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

DocuSign Sign Up Support English v Sign in Email or phone number Next Or sign in with - 8@ &¢ WwW H SSO or AOL Google ~~ Yahoo -— Microsoft. Other email Help Terms Privacy DocuSign is protected...

Page Load Overview

3.92s
Total Load Time
203 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:239 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
33%
adult content
30%
government public service
29%
social media network
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
155--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF52C675A544CE2EE8535B4C617EBE3A60DE84AFC649C828F1CCC7251BC1DB92ED5AC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GvG+l2ArZuWdWnvWwhjpMFFoIjoi2FpMcToAo8PwnMhE9MgnqzcpmMmUAVt:2G+L9uW4vPKFqzryrX8YMcyUSt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14271:QAoG1QBJnQogSQTysIAsINjgAVgAIOIwEJg6BBUpCi+OIFiKYQGKiBC2g2VwAlFCGAAEMTUESAVEBKohmjodwYMK5GEBnUCw

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:000000e7e7e7e7ff
Perceptual Hash:b340cce0f3d9c966
Difference Hash:8009280c0c0c0c00
Wavelet Hash:000000e7e7e7e7ff
Color Hash:N/A

Other Hashes

Crop Resistant:8009280c0c0c0c00

Scan History

Scan history not available

Unable to load historical scan data