Security Scan Report: chase-acess.vercel.app

Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 4 domains to perform 18 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://chase-acess.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake Chase 'Document Center' on a vercel.app subdomain using Chase branding, flagged by Safe Browsing for social engineering and reported as phishing; it pushes macro-enabled document downloads, a malware lure.

Risk Factors (7)
Brand impersonation of Chase on a non-Chase domain (vercel.app free subdomain)
Google Safe Browsing Social Engineering detection
Phishing threat-intelligence report on the primary domain
Social-engineering lure: fake 'Document Center' with payroll/financial statements and 'Download' buttons
Instructions to enable macros in Excel, a standard malware execution vector
Unranked hostname on a shared hosting platform; actual subdomain creation date unknown
Fake FAQ content asserting downloads are 'encrypted and verified by our security system' to lower user suspicion
Domain age information unavailable

Details

Page Title

Chase Savings Accounts: Compare & Apply Today | Chase

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'chase-acess.vercel.app' is registered, featuring subdomain 'chase-acess'. Count 6 characters in 'vercel' with two vowels and 4 consonants. Segmentation suggests two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://chase-acess.vercel.app/

Page Load Overview

0.45s
Total Load Time
224 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,625 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network74% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
74%
finance banking
59%
government public service
52%
download file sharing
42%
documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
323.207.210.144Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
323.207.210.151Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
186--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6B283A729F71026760390D07BB6B3292972D047D64EDDA93ABC024CDF81E85DC63B8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:xCt7mSddg3U9I86b/UchDsEvoTz8O9RM86d5TaU6yJr3uh8IH3EGjNefA/zySZe:4xSTAHJ8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24231:wogFaHQMYKACDGjUCm9BgBA8jKf3oGjZhAkAKO4ECIFPEBIBBBQyI6QMAImSYrwQAIQyTowkMYyQC9IKEMJIhJDRgAXOguAF

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:ff000000ffffffff
Perceptual Hash:e943a99ebcc361c1
Difference Hash:2301d18100352b2b
Wavelet Hash:fd000000dfdffbc3
Color Hash:#53a0ac

Scan History

Scan history not available

Unable to load historical scan data