Security Scan Report: api.vercel.com

Redirected to: https://docs.vercel.com/docs/rest-api/reference/welcome

Submitted: Jan 14, 2026, 1:23:58 AMCompleted: Jan 14, 2026, 1:25:38 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 106 HTTP transactions. The main domain is docs.vercel.com and was registered NaN years ago.

Submitted URL: https://api.vercel.com

Effective URL: https://docs.vercel.com/docs/rest-api/reference/welcomeRedirected

The Cisco Umbrella rank of the primary domain is #47,361 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate Vercel API documentation site with no security concerns.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
Official brand domain
No forms or credential collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.

Page Title

Using the REST API - Vercel API Docs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(66%)

Domain Information

Within the commercial generic top-level domain (.com), 'api.vercel.com' is registered with subdomain 'api'. Count 6 characters in 'vercel' containing two vowels alongside four consonants. Tokenizing the label suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.vercel.com

Page Load Overview

13.47s
Total Load Time
102
HTTP Requests
7
Domains
286 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:8,281 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
64%
government public service
32%
cryptocurrency blockchain
29%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18198.169.1.193United States
1476.76.21.112Walnut, California, United States
AS16509AMAZON-02
14151.101.2.208United States
14142.251.141.99United StatesUnknown
14142.250.184.202United StatesUnknown
1418.64.16.159United StatesUnknown
1464.239.123.1United StatesUnknown
1027--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BEB48457C212DE362587488535793F7A72CFE35DC2E29A6C7C8CD27C1B82C3A1796289

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+AXjW2jgXYGpulaSyW2ANphTfQqRkwHCrZbMYjHdqFQWCgLAFQWCgLP:M2jgo+IHIYFQWtAFQWtP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:519248:bsUGIJgABgUFMOQjIa6AAGlhKEwcMCUgg0S1wEKFsZUkAAMSDBEAF5AZYwACESxgBCOw8o0gBNWobwCAARkAikDcQ0RMAQVQ

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:bf8b818187c7c7c7
Perceptual Hash:b30f949d8ec682c7
Difference Hash:4c124f5d5b1e1c1c
Wavelet Hash:be8385818b87c7c7
Color Hash:#4077bf

Other Hashes

Crop Resistant:4c124f5d5b1e1c1c

Scan History

Scan history not available

Unable to load historical scan data