Security Scan Report: www.kjandiaodaadwd1.vercel.app

Redirected to:
https://kjandiaodaadwd1.vercel.app/
Submitted: Sep 2, 2026, 2:45:22 PMCompleted: Sep 2, 2026, 2:47:19 PMpubliccompleted

This website contacted 7 IPs in 2 countries across 6 domains to perform 24 HTTP transactions. The main domain is kjandiaodaadwd1.vercel.app and was registered 31 years ago.

Submitted URL: http://www.kjandiaodaadwd1.vercel.app/

Effective URL:

https://kjandiaodaadwd1.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

The page impersonates American Express and harvests login credentials on an unknown‑age Vercel subdomain, indicating a high‑risk phishing site.

Risk Factors (3)
Brand impersonation on mismatched domain
Credential collection form
Unranked / unknown‑age subdomain on shared hosting
Domain age information unavailable

Details

Page Title

American Express

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.kjandiaodaadwd1.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'www.kjandiaodaadwd1'. The registrable portion 'vercel' spans 6 characters with 2 vowels and 4 consonants. Splitting it apart reveals 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 http://www.kjandiaodaadwd1.vercel.app/

Page Load Overview

8.00s
Total Load Time
241 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,021 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
69%
finance banking
57%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
62.19.101.181Düsseldorf, North Rhine-Westphalia, Germany
AS16625Akamai Technologies, Inc.
364.29.17.131United States
AS16509Amazon.com, Inc.
3216.198.79.131United States
AS16509Amazon.com, Inc.
364.29.17.67United States
AS16509Amazon.com, Inc.
3216.198.79.67United States
AS16509Amazon.com, Inc.
323.52.181.182Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
247--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166E221FDF661A53F0796308EF5132987E9A7C05E441B2CF3FA9C845D2AC3C6786A6409

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:nfruJpTy1sJwCJNtXCDU1/Zx2GQz2pckWzBywvDiO4biS:kW1suerc4bD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33340:jAIHABAEMUIhJbBKhiANFyLGYEAJADRwAZaIgigdSKKwhgQMxKC4AjRMwCIDaTQjU08hQi45FgsGDgAgSCKkAgLgFSBBMgjI

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:bd3232344830ffff
Perceptual Hash:e464cf9b9b9a4630
Difference Hash:796664649a666060
Wavelet Hash:fd3030340030ffff
Color Hash:#9b79d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data