Security Scan Report: kjandiaodaadwd1.vercel.app

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Submitted: Sep 4, 2026, 2:48:33 PMCompleted: Sep 4, 2026, 2:49:33 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

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

Risk Factors (2)
Brand impersonation (American Express) on unrelated subdomain
Credential collection form (username/password) on mismatched domain
Domain age information unavailable

Details

Page Title

American Express

Scan Type

public

Domain Name Analysis

The domain 'kjandiaodaadwd1.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'kjandiaodaadwd1'. The core label 'vercel' covers 6 characters split between 2 vowels and 4 consonants. It segments into two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kjandiaodaadwd1.vercel.app/

Page Load Overview

1.05s
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
764.29.17.131United States
AS16509Amazon.com, Inc.
32.21.176.224Lisbon, Lisbon, Portugal
AS16625Akamai Technologies, Inc.
323.209.209.189Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
364.29.17.195United States
AS16509Amazon.com, Inc.
3216.198.79.195United States
AS16509Amazon.com, Inc.
226--

Detected Technologies3

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:#862d67

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data