Security Scan Report: www.sekrsdoc.vercel.app

Redirected to:
https://sekrsdoc.vercel.app/
Submitted: Jul 16, 2026, 12:45:22 PMCompleted: Jul 16, 2026, 12:46:46 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is sekrsdoc.vercel.app and was registered NaN years ago.

Submitted URL: http://www.sekrsdoc.vercel.app/

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site hosts a login form on an unranked Vercel subdomain with unknown age; moderate risk due to lack of reputation and credential collection.

Risk Factors
Unknown subdomain age
Unranked domain reputation
Credential collection form on unknown subdomain
Domain age information unavailable

Details

Page Title

도메인 로그인 폼

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.sekrsdoc.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.sekrsdoc'. The core label 'vercel' covers 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.sekrsdoc.vercel.app/

Page Load Overview

10.47s
Total Load Time
6
HTTP Requests
2
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:80%
Script Type:Hangul
HTML Lang Attribute:ko
Text Length:43 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.67United States
AS16509Amazon.com, Inc.
3216.198.79.195United States
AS16509Amazon.com, Inc.
62--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD91E9F370953C2563ABA4B670B1938C30588203AD525A18D92C5C78EE76F874B73BD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:F1Tt1mklOqLG7pJ8HpYyXHQGXGy1iQR8MRvCpsxfsFD:F1T7mk/LGmY4JfsFD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4590:EBAAYAQAAIQIAiIIFACQIgCAA4VBAglsQUAGEBUACOEkQAASASYQSAAAFEgRAACoEgQIBAEchEAgAcAYAAEAEQRAIAgAIEQA

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:00003c1c24241800
Perceptual Hash:9bcc64339b8c6666
Difference Hash:00002a322a2a1000
Wavelet Hash:03033f3f273f030f
Color Hash:#6040bf

Other Hashes

Crop Resistant:00002a322a2a1000

Scan History

Scan history not available

Unable to load historical scan data