Security Scan Report: mavyret.com

Redirected to:
https://www.mavyret.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 45 IPs in 2 countries across 37 domains to perform 156 HTTP transactions. The main domain is mavyret.com and was registered 9 years ago.

Submitted URL: https://mavyret.com

Effective URL:
https://www.mavyret.com/
Redirected

The Cisco Umbrella rank of the primary domain is #387,015 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official AbbVie MAVYRET hepatitis C site on its own established 9-year-old domain. No forms, no impersonation of another entity, and no threat-intel, YARA, or IDS hits — legitimate.

Safety Factors (5)
Established domain registered 2017 (well-established, minimal risk)
Self-branding: title/meta match the domain mavyret.com
No credential, password, or payment forms present
No threat-intelligence, YARA, or IDS hits
Standard pharmaceutical manufacturer site with prescribing and safety information attributed to AbbVie Inc.
Domain age information unavailable

Details

Page Title

MAVYRET (glecaprevir/pibrentasvir) for Hepatitis C ­- Official Site

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'mavyret.com' is registered while skipping any subdomain. Count 7 characters in 'mavyret' split between two vowels and 5 consonants. It segments into 3 words: ma, vy, ret. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mavyret.com

Page Load Overview

5.38s
Total Load Time
4.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:23,123 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical93% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
93%
adult content
71%
government public service
55%
education learning
40%
documentation technical
38%

Detected Features

Search
OG: Website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24159.180.132.176Waukegan, Illinois, United States
AS62763AbbVie, Inc.
352.222.236.110Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
352.222.236.89Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
323.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
352.222.236.12Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3184.24.77.134Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3184.24.77.149Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3184.24.77.147Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3184.24.77.169Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
15645--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4D40962F2B952BB41AF7215E6A1B740B027C737FE925BE9F40D42740FC9B964C07289

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:9jEmTN6wwJCDDV2ZjvTsJ3hG5TuS2O9QCc:9QsBxS2aQCc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:610721:wsEYgAIySAhIOZAxkwhKsAAgAaDEIWTgUKgpwBsjdAjhAg0BSKCAooFCEAyAME1zSiKWVYQECcSDEQABLZAggDIgcSYhtGYB

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:ffbb10010101ffff
Perceptual Hash:af4dd0b2a6e41b49
Difference Hash:0c7373677f7d149c
Wavelet Hash:ff9b00010101ffff
Color Hash:#2d8649

Scan History

Scan history not available

Unable to load historical scan data