Security Scan Report: signdocs-beta.vercel.app

Submitted: Jul 3, 2026, 5:52:04 AMCompleted: Jul 3, 2026, 5:56:01 AMpubliccompleted
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Summary

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

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

AI Security Verdict

Low Risk

Confidence: 92%

3
Risk Score

The site shows no credential or payment collection, no malicious indicators, and only a mild circular‑redirect signal, resulting in a low‑risk classification.

Risk Factors
Circular redirect (potentially malicious behavior)
Unranked subdomain on a hosting platform (.vercel.app)
Safety Factors
Absence of credential or payment collection forms
No malicious IoC or YARA detections
Self‑branding indicates legitimate ownership
No external malicious links or cross‑origin exfiltration
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

The domain name 'signdocs-beta.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'signdocs-beta'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Word splitting yields 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 http://signdocs-beta.vercel.app

Page Load Overview

8.12s
Total Load Time
3
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
3216.198.79.3United States
AS16509Amazon.com, Inc.
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1363174B745B1702EF23788FE34E637642244811BC0821F99B658AFB8E2C7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz71uA0:TGi9ScnwEYT0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgAKIAJABAAEQAgAAAGAAAABAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQABEAQgIggAIAIAB

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:e6998c9966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce4041c0c04
Color Hash:#2dd2b1

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data