Security Scan Report: pfg.magcoa.com

Redirected to: https://pfg.magcoa.com/login.aspx?ReturnUrl=%2f

Submitted: Mar 16, 2026, 9:52:08 AMCompleted: Mar 16, 2026, 9:53:19 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 51 HTTP transactions. The main domain is pfg.magcoa.com and was registered NaN years ago.

Submitted URL: https://pfg.magcoa.com

Effective URL: https://pfg.magcoa.com/login.aspx?ReturnUrl=%2fRedirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate login page with no malicious indicators; low risk.

Safety Factors
Well‑established domain
Absence of malicious Indicators of Compromise
No YARA malware detections
No payment or hidden credential fields
No brand impersonation or phishing language
Domain age information unavailable

Details

Page Title

User Log In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(33%)

Domain Information

The domain 'pfg.magcoa.com' uses the commercial generic top-level domain (.com), featuring subdomain 'pfg'. The core label 'magcoa' covers 6 characters with 3 vowels and three consonants. Splitting it apart reveals two words: mag, coa. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pfg.magcoa.com

Page Load Overview

3.16s
Total Load Time
51
HTTP Requests
1
Domains
937 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-US
Text Length:186 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism33% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
33%
technology software
28%
adult content
28%
government public service
27%
social_media
25%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5152.179.248.24Boydton, Virginia, United States
AS8075Microsoft Corporation
511--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14792E812AD79C82281A740D4D4B5FA0A0A84D693D34ADC5A72FC07EDEFE2FCB9D43159

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ACqDk4vhmMeOc5Q+lMgPA9FqvgQGcAT9MBXP7MCcG5Mt1HMuy4MHYy40Gu3+bv5b:TAMMeOcvMggFWGcW9eDtMtMK5b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20084:kFMSLBRBAISIRhIAMABIQgoUmcYwgBvYCAKFQLgWAU7kJBQwUAywIccNTYZgJACyODKuZwACBQinNNAgAgA4W80EAEABoIAE

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:ffffffffffff0000
Perceptual Hash:b8b83c9e1e1a9c3c
Difference Hash:b086961020404c00
Wavelet Hash:df00d7c7cfcf0000
Color Hash:#87ac53

Scan History

Scan history not available

Unable to load historical scan data