Security Scan Report: kjhkjh-o4ul.vercel.app

Submitted: Completed: publiccompleted
This website contacted 18 IPs in 1 country across 11 domains to perform 15 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://kjhkjh-o4ul.vercel.app/hgcfgvgh.html

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Random Vercel-hosted page presents a login form and JavaScript with a Telegram bot token for possible data exfiltration; Google Safe Browsing flags Social Engineering. Treat as credential phishing.

Risk Factors (5)
Random cloud-hosting subdomain with no established reputation
Credential-collecting login form with password field
Telegram bot token in inline script indicates likely credential exfiltration
Obfuscated JavaScript hiding an external host
Google Safe Browsing Social Engineering detection
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'kjhkjh-o4ul.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'kjhkjh-o4ul'. Count 6 characters in 'vercel' with two vowels and 4 consonants. Word splitting yields 2 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://kjhkjh-o4ul.vercel.app/hgcfgvgh.html

Page Load Overview

0.51s
Total Load Time
400 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:???
Text Length:221 chars
Detector Agreement:100%
Language mismatch: Declared as ??? but detected as en

Website Classification

Primary Category

finance banking30% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
30%
adult content
30%
news media journalism
30%
government public service
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1564.29.17.195Aws · CLOUDUnited States
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0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
0151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.127.95Google · CDNUnited States
AS15169Google LLC
0172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.150.119Google · CDNUnited States
AS15169Google LLC
052.4.199.229Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1518--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF054F56AD671C890B15A07920DF2AC11B2E63DBA8468CDCB50FF7DCCFE818658E17C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:6ApK3aZ6sKB2WXeqAlPf0msGTVXOuqs/wacSwTo7ode2JLoiuedEMSoLV:6RGPfZsEXOuqs/UrJHV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:833018:iXBGXShrJ0AAYAFpRQGAWER0EgMAYYUJBmECGAuELhoGZLhEEQADR1TUGJyOHAgAQhBoFeQTSJNlhKoBWoyAAAAK4gNCILGA

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:0018181818000000
Perceptual Hash:9999666666333399
Difference Hash:4cb2b2b2b24c3000
Wavelet Hash:141c3c3c1f1f0f0f
Color Hash:#783a3f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data