Security Scan Report: kjhkjh-o4ul.vercel.app

Submitted: Oct 10, 2026, 10:53:48 PMCompleted: Oct 10, 2026, 10:54:24 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Throwaway Vercel page hosting a credential-capture login form with a Telegram bot token embedded for exfiltration; Google Safe Browsing flags it for Social Engineering. Do not enter credentials.

Risk Factors (5)
Google Safe Browsing reports Social Engineering
Credential-capturing login form (password + email fields) on a disposable hosting subdomain
Telegram bot token in inline script — exfiltration channel for submitted data
Obfuscated/randomized subdomain and page filename typical of throwaway phishing kits
Hidden form fields and cross-origin visitor-fingerprinting request (ipinfo.io)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'kjhkjh-o4ul.vercel.app' is registered and includes subdomain 'kjhkjh-o4ul'. The registrable portion 'vercel' spans 6 characters with two vowels and four consonants. Breaking it apart gives 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 https://kjhkjh-o4ul.vercel.app/hgcfgvgh.html

Page Load Overview

1.33s
Total Load Time
399 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
1564.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.110.95Google · CDNUnited States
AS15169Google LLC
0151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
1516--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182053F56AD6A1C894B15B07920DF6AC11B2E63DBA4468CDCB50FF7DCCFE808258E17C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:6ApK3aZ6sKB2WXeqAlPf0msGTVXOuqs/wacSwTo7ode2JLoiuedEMSos1:6RGPfZsEXOuqs/UrJo1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:808604:w0AhABQZwAcIEiJggQVwMLA8QRYEEmOgEJABxzkpGAlAgkiCB6BgFlBaBDCKegoYL1MgMMC2KoadVgAANoCPUGUE4ABC5UAj

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:fffffff7e7ffffff
Perceptual Hash:e68c993366cc9933
Difference Hash:0000000808000000
Wavelet Hash:f0f0fce4e4fcc0c0
Color Hash:#e06c6c

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data