Security Scan Report: login.avg.com

Redirected to: https://login.avg.com/sso/embedded/update

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Submitted: Feb 14, 2026, 10:10:09 AMCompleted: Feb 14, 2026, 10:11:40 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is login.avg.com and was registered NaN years ago.

Submitted URL: https://login.avg.com

Effective URL: https://login.avg.com/sso/embedded/updateRedirected

The Cisco Umbrella rank of the primary domain is #18,441 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Impersonates Norton on login.avg.com with hidden password fields – likely phishing.

Risk Factors
Brand impersonation: Norton branding on AVG subdomain
Hidden password field
Credential‑harvesting login form on mismatched domain
Domain age information unavailable

Details

Page Title

login.avg.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(52%)

Domain Information

The domain 'login.avg.com' uses the commercial generic top-level domain (.com) with subdomain 'login'. Its registrable label 'avg' stretches across 3 characters holding one vowel versus two consonants. Word splitting yields 1 word: avg. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://login.avg.com

Page Load Overview

14.60s
Total Load Time
31
HTTP Requests
12
Domains
1.0 MB
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:4,912 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network52% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
52%
technology software
37%
e-commerce shopping
29%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31172.184.116.192San Jose, California, United States
AS8075Microsoft Corporation
311--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszo2bMy8OldS:AhoC9JSqzzbs6o3Sj3gcrsk2eAY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184456:BgkFKAUkJ0mli8AhAqgNhYSdKoAwUKECAwwQJOBENRIMCE1AJgrRAifJhB+oYgADJDMAAgTJAFQQCFQoCA6SwhOxQQABAQ4J

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#79d279

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

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