ScanMalware.com

Security Scan Report: chase-sapphire-ace-demo.vercel.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/f886c19d-d24b-4682-be78-fe535f307ea0Domain and IP registration (RDAP)/api/v1/rdap/f886c19d-d24b-4682-be78-fe535f307ea0How often this domain was scanned/api/v1/domain/stats/chase-sapphire-ace-demo.vercel.appScan history for this domain/api/v1/domain/history/chase-sapphire-ace-demo.vercel.app?limit=15
This website contacted 9 IPs in 1 country across 4 domains to perform 9 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://chase-sapphire-ace-demo.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Page shows marketing content with no credential collection; weak anti‑analysis signals only, resulting in low risk.

Risk Factors (2)
DevTools blocking (anti‑analysis technique)
Unranked subdomain on a free hosting platform
Safety Factors (3)
No forms collecting credentials or payments
No brand impersonation detected
No malicious network or IDS alerts
Domain age information unavailable

Details

Page Title

Chase Sapphire® — Generative Experience

Scan Type

public

Domain Name Analysis

The domain 'chase-sapphire-ace-demo.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'chase-sapphire-ace-demo'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Segmentation suggests 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://chase-sapphire-ace-demo.vercel.app/

Page Load Overview

8.06s
Total Load Time
101 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,248 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network59% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
59%
finance banking
41%
corporate business
39%
government public service
31%
e-commerce shopping
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.143.135.6United States
AS3486JPMorgan Chase & Co.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1216.198.79.3United States
AS16509Amazon.com, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1216.198.79.131United States
AS16509Amazon.com, Inc.
1146.143.7.6United States
AS3486JPMorgan Chase & Co.
164.29.17.131United States
AS16509Amazon.com, Inc.
1104.18.66.220Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.67.220Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
99--

Detected Technologies3

Vercel
40%
HSTS
40%
Contentful
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191C33C76635023393423029372CAA66E372CD047EBEA52E8BE6D94540FC5D9DA7377C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OYkFeAXV9vx51dZBVFwFdHd4KG6rG75OcdiHirnkt93sddn0WuJ0Bub9u9b:6e+V92uZdi48tgWb9u9b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126496:QYA0kSFAQUoAVDCBQRGKKAEYLUkjCMuYAOEAuA4oTSYVEsQgFQQEvSDTWYBcYAjAgZDmIBC1KYCQeWJBgQiEAOpAAYeyJNAS

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:000000783ffffffc
Perceptual Hash:cd2e5eaecb805836
Difference Hash:752e36d2eaf0f4f0
Wavelet Hash:000000783ffffffc
Color Hash:#ac9353

Other Hashes

Crop Resistant:752e36d2eaf0f4f0

Scan History

Scan history not available

Unable to load historical scan data