Security Scan Report: joko938urih.vercel.app

Submitted: Jul 13, 2026, 7:52:11 PMCompleted: Jul 13, 2026, 7:53:25 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is joko938urih.vercel.app and was registered NaN years ago.

Submitted URL: https://joko938urih.vercel.app/cmo.html?

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page hosts a credential‑stealing login form with anti‑analysis measures; treat as high‑risk phishing.

Risk Factors
Credential harvesting form
Cross‑origin credential submission
Anti‑analysis techniques (DevTools/right‑click blocking)
Unranked hosting subdomain with unknown age
Impersonation of a generic Webmail service
Domain age information unavailable

Details

Page Title

Webmail Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(50%)

Domain Information

Within the application-focused generic top-level domain (.app), 'joko938urih.vercel.app' is registered with subdomain 'joko938urih'. The core label 'vercel' covers 6 characters holding two vowels versus 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://joko938urih.vercel.app/cmo.html?

Page Load Overview

6.11s
Total Load Time
11
HTTP Requests
7
Domains
65 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:191 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
50%
documentation technical
26%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
645.43.142.7United Kingdom
AS16276OVH SAS
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
116--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181C2E649B4F358112173A57D2FABEA08BB39801F410DCC447A9C5AC4AF46B25CAB77F9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:M9UNLDAdhmlFa3bAJJJ9PyphYzT7vdmBiW3INcDybHDfXm0tZ2M8NCzCCXwnT0HI:M9qFBYB54GDybHDfRMCzn/i0q09Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26575:ARAFBtQQAEwg3QBBAFqEhKAhQBAggCAOBAMQBALEhZZSMAhgSAjAAhAAEAChKQLiEARlBIEAMQJgiQypIQQIQD4BAwaxCqnA

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:ffffe7efe7e7ffff
Perceptual Hash:b323cccc99996666
Difference Hash:08100c2a4d0c3000
Wavelet Hash:f0f0c0d8e0f8f0f0
Color Hash:#65783a

Other Hashes

Crop Resistant:08100c2a4d0c3000

Scan History

Scan history not available

Unable to load historical scan data