ScanMalware.com

Security Scan Report: www.sylviagomez.net

Redirected to: blob:https://www.whiztesting.com/7e149fed-a58d-43c6-b71d-f22a94473f6f

Submitted: Mar 13, 2026, 3:53:37 PMCompleted: Mar 13, 2026, 3:54:58 PMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 4 HTTP transactions. The main domain is and was registered NaN years ago.

Submitted URL: https://www.sylviagomez.net/wp-includes/wx.htm

Effective URL: blob:https://www.whiztesting.com/7e149fed-a58d-43c6-b71d-f22a94473f6fRedirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Phishing page impersonating Chase, hosted on a compromised WordPress site and delivered via a blob URL – avoid and report.

Risk Factors
Brand impersonation on an unranked domain
Use of blob: URL scheme to hide true content source
Compromised WordPress path with login form
Disguised password fields to trick users
Unicode characters used for evasion
Domain age information unavailable

Details

Page Title

Sign in - Chase.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(63%)

Domain Information

The domain name 'www.sylviagomez.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'www'. The registrable portion 'sylviagomez' spans 11 characters holding 4 vowels versus seven consonants. Tokenizing the label suggests 2 words: sylvia, gomez. Average segment length settles at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.sylviagomez.net/wp-includes/wx.htm

Page Load Overview

3.06s
Total Load Time
12
HTTP Requests
7
Domains
206 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:911 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business63% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
63%
finance banking
46%
government public service
30%
adult content
27%
e-commerce
25%

Detected Features

Login Form
Payment

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6151.101.130.137United States
AS54113Fastly, Inc.
1142.251.208.170United States
AS15169
123.36.162.211United States
AS20940
1104.17.24.14United States
AS46606
1192.254.189.124Phoenix, Arizona, United States
AS46606Unified Layer
123.50.131.153United States
AS46844
1204.188.228.135Chicago, Illinois, United States
AS46844Sharktech
127--

Detected Technologies2

PasswordField
100%
Microsoft ASP.NET
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA25233198BA18A943A7832432FB5F5916500553F444A5C931EEAAE83FC3B40CDB77ED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:cDOy/o9JPxWZicwsNxlEITMXfGg/bzUFvc:1iBZicfDMPGkUe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1025293:aqIgGgMJEIQC6AGgCZISAoSFmWkEhUz45CQwgwhircJRGNs6DBMYvAgACZlwIEQiZopapAKEAcREARSWEwAoBNADYBIkJQQM

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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