Security Scan Report: kjhkjh-o4ul.vercel.app

Submitted: Completed: publiccompleted
This website contacted 16 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: 96%

10
Risk Score

Fake login page on an anonymous vercel.app subdomain that collects email/password and can ship it to a Telegram bot; Safe Browsing confirms social engineering. Never enter credentials.

Risk Factors (6)
Safe Browsing social-engineering detection
Credential-harvesting login form on an anonymous hosting subdomain
Hidden form fields inconsistent with a genuine login page
Telegram bot token embedded for exfiltration
Obfuscated script hiding a third-party network target
IDS alerts for actor-abused cloud hosting service (vercel.app)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

You're looking at domain 'kjhkjh-o4ul.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'kjhkjh-o4ul'. Its registrable label 'vercel' stretches across 6 characters with two vowels and 4 consonants. Word splitting yields two words: ver, cel. Median word length is 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

0.64s
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
1564.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
0151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
0104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.150.119Google · CDNUnited States
AS15169Google LLC
052.4.199.229Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
0172.67.139.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1516--

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:#3a6778

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data