Security Scan Report: vt-soc-veri.mdbgo.io

Redirected to: https://vt-soc-veri.mdbgo.io/y5/iu/pem.html

Submitted: Oct 16, 2025, 10:58:18 PMCompleted: Oct 16, 2025, 10:58:53 PMpubliccompleted
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Summary

This website contacted 25 IPs in 3 countries across 7 domains to perform 9 HTTP transactions. The main domain is vt-soc-veri.mdbgo.io and was registered NaN years ago.

Submitted URL: https://vt-soc-veri.mdbgo.io/y5/iu/pem.html#[email protected]

Effective URL: https://vt-soc-veri.mdbgo.io/y5/iu/pem.htmlRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Confirmed phishing site harvesting credentials via URL manipulation and hidden fields.

Risk Factors
URL manipulation (history.pushState/replaceState) to spoof the address bar
Hidden password field indicating attempt to harvest credentials covertly
Email address in URL fragment used for social engineering
Credential harvesting login form on a low‑reputation domain
Brand impersonation on a non‑official domain
Domain age information unavailable

Details

Page Title

Webmail Portal Access | Digital Secured Platform

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

corporate business

(62%)

Domain Information

You're looking at domain 'vt-soc-veri.mdbgo.io' on the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'vt-soc-veri'. The core label 'mdbgo' covers 5 characters with 1 vowel and four consonants. It segments into three words: m, db, go. Median word length is two characters. 'm' most often appears in Chinese (Pinyin). You may catch it in English and Chinese (Traditional) as well.

Screenshot

Security scan screenshot of https://vt-soc-veri.mdbgo.io/y5/iu/pem.html#alqpthgt@heh.se

Page Load Overview

11.10s
Total Load Time
9
HTTP Requests
7
Domains
144 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
HTML Lang Attribute:en
Text Length:229 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business62% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
62%
technology software
57%
government public service
38%
documentation technical
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
993.105.88.216Wroclaw, Lower Silesia, Poland
AS50606Horyzont Technologie Internetowe sp.z.o.o.
0104.17.24.14United States
AS13335CLOUDFLARENET
0104.18.11.207United States
AS13335CLOUDFLARENET
0142.250.185.234United States
AS15169GOOGLE
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
0104.18.10.207United States
AS13335CLOUDFLARENET
013.32.27.129New York, New York, United States
AS16509AMAZON-02
052.70.241.141Ashburn, Virginia, United States
AS14618AMAZON-AES
02a04:4e42:600::649United States
AS54113FASTLY
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
925--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131541234C6B6DF7D478B0A7A35292BD07DF48592818FE0FEA9D914438CB2CD2C62D586

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:q7Z6OZ62RrJ10QCWVANqdj+bDuvtkJnrZpm5w494/j+/1UnfB0J7tvYD:q7ZtZvJfCjq0/uvt2tpmlWj+/1UnfeJi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:304196:KhiwIAnQGQNGBODsZjkEYUoJJAApQnrISoMciKK4RUAAgBgMRFQiQoRSkUMCYDoOACGIwdEkABQgaEAiKDEaDArAVM1wCGiB

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data