Security Scan Report: login-ssogodaddyofficeonline.mtecnet.com.br

Redirected to: blob:https://login-ssogodaddyofficeonline.mtecnet.com.br/6a8bb77d-bed5-448c-ab2b-3881b2e5dbcc

Submitted: Oct 24, 2025, 1:12:56 PMCompleted: Oct 24, 2025, 1:13:51 PMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 5 domains to perform 8 HTTP transactions. The main domain is .

Submitted URL: https://login-ssogodaddyofficeonline.mtecnet.com.br/wp-content/includes/ch1var.html

Effective URL: blob:https://login-ssogodaddyofficeonline.mtecnet.com.br/6a8bb77d-bed5-448c-ab2b-3881b2e5dbccRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9.5
Risk Score

Phishing site impersonating Chase, harvesting credentials and payment info.

Risk Factors
Brand impersonation (Chase) on unranked domain
Credential harvesting forms
Payment and sensitive personal data collection
WordPress internal directory usage indicating compromised site
Likely newly registered domain
Domain age information unavailable

Details

Page Title

Sign in - chase.com

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

corporate business

(54%)

Domain Information

Domain 'login-ssogodaddyofficeonline.mtecnet.com.br' uses the Brazilian country-code top-level domain (.com.br); it also runs on subdomain 'login-ssogodaddyofficeonline'. The core label 'mtecnet' covers 7 characters with two vowels and five consonants. Splitting it apart reveals three words: m, te, cnet. Median word length is two characters. The linguistic tilt is Afrikaans for 'm'. Secondary signals appear in Dutch and Spanish.

Screenshot

Security scan screenshot of https://login-ssogodaddyofficeonline.mtecnet.com.br/wp-content/includes/ch1var.html

Page Load Overview

31.95s
Total Load Time
8
HTTP Requests
5
Domains
173 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:en-us
Text Length:868 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business54% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
54%
finance banking
39%
social media network
35%
government public service
31%
e-commerce
25%

Detected Features

Login Form
Payment

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8151.101.2.137San Francisco, California, United States
AS54113FASTLY
0151.101.66.137San Francisco, California, United States
AS54113FASTLY
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
0172.217.23.106United States
AS15169GOOGLE
0104.17.24.14United States
AS13335CLOUDFLARENET
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0108.179.193.144United States
AS19871NETWORK-SOLUTIONS-HOSTING
0104.17.25.14United States
AS13335CLOUDFLARENET
02a04:4e42:200::649United States
AS54113FASTLY
02a04:4e42::649United States
AS54113FASTLY
820--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E494BF3F45E717857923266D32EB06856F28D403E2099D5ABF8C53A5CF8BF909E63708

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:075Z30Xe2WE+fKTRRIEbl7VfH1KLiT9Dsx6ISqtwOXA7XI8mwOzO/Hww:wGJ5HDvISmwu448mwOzRw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:412007:0QJF4lIAClElSCEkwaIKCwBFDPmAUgJgQyEgQ0vIDIkgWg4ODhAiQQBYMQgdDA4CkJBNJLEWMKIEEsWFAASiwpRKCoJFEASA

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:001e1c1c1c00ffff
Perceptual Hash:9a18e563fa654b98
Difference Hash:99f0f07179685400
Wavelet Hash:003e1c1c1c18ffff
Color Hash:#6ce096

Scan History

Scan history not available

Unable to load historical scan data