Security Scan Report: drugs.com

Redirected to: https://www.drugs.com/

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Submitted: Feb 9, 2026, 6:39:01 AMCompleted: Feb 9, 2026, 6:41:57 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 drugs.com and was registered NaN years ago.

Submitted URL: https://drugs.com

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

The Cisco Umbrella rank of the primary domain is #43,604 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No suspicious forms or scripts
Meta tags consistent with official brand
Domain age information unavailable

Details

Page Title

drugs.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(79%)

Domain Information

Domain 'drugs.com' uses the commercial generic top-level domain (.com) with no subdomain. The registrable portion 'drugs' spans 5 characters split between 1 vowel and 4 consonants. Tokenizing the label suggests 1 word: drugs. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://drugs.com

Page Load Overview

0.57s
Total Load Time
57
HTTP Requests
3
Domains
140 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
Text Length:9,212 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
79%
adult content
63%
government public service
47%
news media journalism
40%
news/blog
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5723.37.54.132Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
571--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T132048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszM2bMy8Old6:0hoC9JSqzzbs6o3Sj3gcrsI2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184436:rwRFAYESIGgaalEMQhuQhAoAMIgUIPDAcCRR3QFAAJIMMqHEQACB1FKA4EAXHLDbMCIAVoEi/U4JKgQqJLDAIDAiMAD7AJ0N

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:00181c1800000000
Wavelet Hash:3f1f030f00000000
Color Hash:#e06cb5

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data