Security Scan Report: sekrsdoc.vercel.app

Submitted: Jul 16, 2026, 12:45:33 PMCompleted: Jul 16, 2026, 12:48:02 PMpubliccompleted
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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 sekrsdoc.vercel.app and was registered NaN years ago.

Submitted URL: https://sekrsdoc.vercel.app/?naps

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 of credential phishing.

Risk Factors
Unknown subdomain age
Unranked domain
Credential collection form on a generic domain
Domain age information unavailable

Details

Page Title

도메인 로그인 폼

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'sekrsdoc.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'sekrsdoc'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Breaking it apart gives 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://sekrsdoc.vercel.app/?naps

Page Load Overview

3.06s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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
2216.198.79.195United States
AS16509Amazon.com, Inc.
21--

Detected Technologies3

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:#933e1f

Other Hashes

Crop Resistant:00002a322a2a1000

Scan History

Scan history not available

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