Security Scan Report: www.avg.com

Redirected to: https://www.avg.com/de-de/lp-safe-emailing?utm_medium=email&utm_source=link&utm_content=emailclient&utm_campaign=sig-email#pc

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Submitted: Oct 6, 2025, 5:22:05 PMCompleted: Oct 6, 2025, 5:23:15 PMpubliccompleted
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Summary

This website contacted 72 IPs in 3 countries across 24 domains to perform 69 HTTP transactions. The main domain is avg.com and was registered NaN years ago.

Submitted URL: https://www.avg.com/de-de/lp-safe-emailing?utm_medium=email&utm_source=link&utm_content=emailclient&utm_campaign=sig-email

Effective URL: https://www.avg.com/de-de/lp-safe-emailing?utm_medium=email&utm_source=link&utm_content=emailclient&utm_campaign=sig-email#pcRedirected

The Cisco Umbrella rank of the primary domain is #17,561 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears to be a legitimate AVG download page with no security concerns.

Safety Factors
Long‑standing domain registration
High Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No data‑collection forms
Consistent official AVG branding
Domain age information unavailable

Details

Page Title

Download von AVG Free AntiVirus | Virenschutz kostenlos

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.avg.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'avg' spans 3 characters containing one vowel alongside two consonants. Tokenizing the label suggests one word: avg. The linguistic tilt is Norwegian for 'avgi'. You may catch it in Swedish as well.

Screenshot

Security scan screenshot of https://www.avg.com/de-de/lp-safe-emailing?utm_medium=email&utm_source=link&utm_content=emailclient&utm_campaign=sig-email

Page Load Overview

16.35s
Total Load Time
69
HTTP Requests
24
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de-de
Text Length:5,114 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

OG: Website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
692.16.241.13Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
065.9.66.72United States
AS16509AMAZON-02
023.213.165.197Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
013.32.121.38New York, New York, United States
AS16509AMAZON-02
018.203.61.82Dublin, Leinster, Ireland
AS16509AMAZON-02
063.140.62.236United States
AS16509AMAZON-02
069.192.160.133Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
0104.17.209.240United States
AS13335CLOUDFLARENET
0104.17.208.240United States
AS13335CLOUDFLARENET
03.124.173.63Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6972--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0C34B52FEBD503E5023A17A7A7BB39CF12A8463C541BC64B9EC41E447E4BE6440F78A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RP33FtjRuWSf/qZSfq4Sfqh+DLZoiTdQG5LnvZfyQt2WI3X3plu+:RP33FtjVSf/qZSfq4Sfqh+DLZoiTdQG8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124811:IJIGgmIIyY0ICANAEQAiiFEyilBcFhkODkASq6AHKcegBIsMMxuFCODZBAChjomQAGZQGJBEDlAkBQDAUJIbMRAGgCIABLCr

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:ff18001010f7f3f3
Perceptual Hash:ee1be9f098a4b2c2
Difference Hash:71716566e5072727
Wavelet Hash:ff18001030f7f3f3
Color Hash:#a979d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data