Security Scan Report: doeusignsafe.vercel.app

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Submitted: Sep 24, 2026, 6:50:07 AMCompleted: Sep 24, 2026, 6:50:41 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake DocuSign sign-in page hosted on a vercel.app subdomain with DocuSign branding and a single-source phishing report; avoid entering credentials.

Risk Factors (5)
Brand impersonation of DocuSign on an unrelated vercel.app subdomain
Primary-domain threat-intelligence match for phishing
IDS alerts for commonly abused cloud hosting service domain vercel.app
Sign-in page mimics DocuSign without any legitimate domain relationship
Unknown subdomain creation age on a shared hosting platform
Domain age information unavailable

Details

Page Title

Sign In - DocuSign

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'doeusignsafe.vercel.app' is registered with subdomain 'doeusignsafe'. The second-level label 'vercel' is 6 characters long holding two vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://doeusignsafe.vercel.app/

Page Load Overview

1.05s
Total Load Time
208 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
32%
adult content
30%
government public service
29%
social media network
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
864.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
7216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
152--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F212D7B2DA844A3ED513478CF659B739B0AF84CFCD1E941CF1DC02266BC1EC96CA56A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:yvoG3odpASZunlnvWQwhjpMFFoIjoi2FpMcToAo8PwnM4:yro8cupvmKFqzryrX8YM4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9317:NqHaCCACpOgiVhASA0FkMWxRAh4DMEl7AIFCJUIElExAASgiLitjISpATngbNy5wAAoQJAQHim4CpdGEBACSQeQgIASAXOI9

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:#d22d69

Other Hashes

Crop Resistant:8009280c0c0c0c00

Scan History

Scan history not available

Unable to load historical scan data