Security Scan Report: wellsfargo-worl.vercel.app

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Submitted: Sep 23, 2026, 11:50:28 AMCompleted: Sep 23, 2026, 11:51:09 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Wells Fargo phishing page on a vercel.app subdomain: fake bank login harvesting username/password, flagged by Google Safe Browsing for Social Engineering. Never enter credentials.

Risk Factors (5)
Brand impersonation of Wells Fargo on a non-Wells Fargo domain
Credential login form (username + password) presented as Wells Fargo online banking sign-on
Google Safe Browsing Social Engineering detection
Deceptive hostname 'wellsfargo-worl.vercel.app' designed to look legitimate
Unknown subdomain age on a shared, actor-abused hosting platform
Domain age information unavailable

Details

Page Title

Wells Fargo Bank | Financial Services & Online Banking

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'wellsfargo-worl.vercel.app' is registered, featuring subdomain 'wellsfargo-worl'. The core label 'vercel' covers 6 characters with 2 vowels and 4 consonants. Segmentation suggests 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wellsfargo-worl.vercel.app/

Page Load Overview

2.55s
Total Load Time
672 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:12,071 chars
Detector Agreement:80%

Website Classification

Primary Category

finance banking97% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
97%
technology software
43%
corporate
35%
government public service
30%
forum
20%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
864.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
123.50.131.134Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
123.62.15.36Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12.16.59.40Akamai · CDNLondon, England, United Kingdom
AS16625Akamai Technologies, Inc.
123.62.15.41Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
144.240.68.82Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
158--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C210C779480DA048F02D4D8A0DB31EC844B062E2594DEE5FAD70E79F9406F4131D34B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:h35yaQTN/FvJFvTN/DYJDYTN/zdJzdTN/GJ7BVcqrzyHt46l0D1ZlHbCyG:3rQTN5jTNLYJYTNBXTNePVcqrDE21H8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1243:AAQACAACAEAAAAAQAAAAAAECAAAAAQAAAACAAEAACECgAAAAAACAAACAAAAAAAABgAAAEAAAAAEIAAAABACAAAAAIIAAAAAA

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:00ffe7e1bfffffff
Perceptual Hash:bf61141d3f61700f
Difference Hash:8e2a4f5b6b230335
Wavelet Hash:00ffe3c18183ff85
Color Hash:#d279d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data