Security Scan Report: kr-flame.vercel.app

Redirected to:
https://kr-flame.vercel.app/
Submitted: Sep 26, 2026, 9:50:42 AMCompleted: Sep 26, 2026, 9:52:50 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is kr-flame.vercel.app and was registered 6 years ago.

Submitted URL: http://kr-flame.vercel.app

Effective URL:

https://kr-flame.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 0%

7
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'kr-flame.vercel.app' is registered and includes subdomain 'kr-flame'. The registrable portion 'vercel' spans 6 characters with 2 vowels and four consonants. It segments into 2 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://kr-flame.vercel.app

Page Load Overview

1.35s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service56% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
56%
cryptocurrency blockchain
55%
news media journalism
55%
real estate property
52%
healthcare medical
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B3152B745B1702EF23B88FE34E677646244811BC0970F99B658ABF8E2C7CA65123785

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7u0:TGi9ScnwEYu0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAoAJ

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:30303c24e4fcfce4
Color Hash:#6caae0

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data