Security Scan Report: www.dvividconsultant.com

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Submitted: Oct 3, 2026, 11:46:57 PMCompleted: Oct 3, 2026, 11:48:03 PMpubliccompleted

This website contacted 18 IPs in 3 countries across 14 domains to perform 140 HTTP transactions. The main domain is dvividconsultant.com and was registered 21 years ago.

Submitted URL: https://www.dvividconsultant.com/university/carnegie-mellon-university/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Established education-consultant site with an informational article about Carnegie Mellon University. No credential/payment forms or malware indicators. Weak network/redirect signals keep it at low risk.

Risk Factors (4)
Two HIGH network IDS alerts for DNS query to .to TLD (Potentially Bad Traffic)
5 cross-domain redirects detected
Domain is unranked in Cisco Umbrella
Low business legitimacy score (38/100)
Safety Factors (5)
Established domain over 8 years old
No password, disguised-password, or payment fields
No Indicators of Compromise, YARA matches, or malicious kit roster hits
No JavaScript credential exfiltration
Contact details (phone, email) and physical address visible
Domain age information unavailable

Details

Page Title

Carnegie University Fees, Courses, Acceptance Rate, Admission deadline, Rankings

Scan Type

public

Domain Name Analysis

The domain name 'www.dvividconsultant.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'dvividconsultant' is 16 characters long with five vowels and 11 consonants. Breaking it apart gives three words: d, vivid, consultant. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.dvividconsultant.com/university/carnegie-mellon-university/

Page Load Overview

14.91s
Total Load Time
8.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:16,483 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21156.67.105.64Mumbai, Maharashtra, India
AS141995Contabo Asia Private Limited
7142.251.20.97Google · CDNUnited States
AS15169Google LLC
7142.251.14.95Google · CDNUnited States
AS15169Google LLC
7194.233.83.160Singapore, Singapore
AS141995Contabo Asia Private Limited
7142.251.14.94Google · CDNUnited States
AS15169Google LLC
7216.239.34.36Google · CDNUnited States
AS15169Google LLC
7142.251.127.157Google · CDNUnited States
AS15169Google LLC
7142.251.127.94Google · CDNUnited States
AS15169Google LLC
7142.251.127.138Google · CDNUnited States
AS15169Google LLC
7142.251.156.119Google · CDNUnited States
AS15169Google LLC
14018--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143930B628690123A5003CC9A276117CF516EC812E817BBFE9D665357DBCBEC29E6370F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:IeugrpuhbJF+55LSWGzis//RGfEoxmEYyxjKhGxG4aLaJMAXippFxTUNvEHZm1/v:Uij63waAohEussnaiOnkmR1hXlfJLT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94001:gaACVBIAgAgBxEThEwgFpQDALAAKIMGkKZQpiEAATKiTI0RUkEWECBACWEiQjxlIQSAAwIEK0ILFBKmkEIwRqjwLAhcUCoII

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:c0ffffffff8399f0
Perceptual Hash:edd26932417a37e0
Difference Hash:88000022002b3353
Wavelet Hash:00c0ffffff818980
Color Hash:#2d4c86

Other Hashes

Crop Resistant:88000022002b3353

Scan History

Scan history not available

Unable to load historical scan data