Security Scan Report: signdocs-beta.vercel.app

Submitted: Jul 3, 2026, 5:52:05 AMCompleted: Jul 3, 2026, 5:56:23 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is signdocs-beta.vercel.app and was registered NaN years ago.

Submitted URL: https://signdocs-beta.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low‑risk site; no malicious activity detected, but unknown subdomain age warrants caution.

Risk Factors
Subdomain on a hosting platform (.vercel.app) with unknown creation date
Domain is unranked in Cisco Umbrella
Safety Factors
Absence of forms that collect credentials or payment data
No malicious signatures or IDS alerts
Self‑branding indicates the site is not impersonating another brand
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

The domain 'signdocs-beta.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'signdocs-beta'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. It segments into two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://signdocs-beta.vercel.app/

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:768 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
76%
adult content
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A03174B745B1702EF23B8CFD38D633646244851BC0860F99B958AFB8E2C7CA75023785

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7uo0:TGi9ScnwEYuo0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:EAAwAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABACAAWAAAQABEAAgIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce4041c3c24
Color Hash:#933c1f

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

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