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Security Scan Report: milk-drunk.com

Submitted: Nov 3, 2025, 9:25:14 PMCompleted: Nov 3, 2025, 9:26:54 PMpubliccompleted
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Summary

This website contacted 193 IPs in 5 countries across 39 domains to perform 179 HTTP transactions. The main domain is milk-drunk.com and was registered NaN years ago.

Submitted URL: https://milk-drunk.com/bobbie-podcast-laura-dern-diane-ladd/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain age
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Laura Dern & Diane Ladd on the Milk Drunk Podcast

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

The domain 'milk-drunk.com' uses the commercial generic top-level domain (.com). The registrable portion 'milk-drunk' spans 10 characters containing 2 vowels alongside 7 consonants, along with one hyphen. It segments into two words: milk, drunk. Median word length comes out to 4.5 characters. 'milk' most strongly signals English. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) contexts. Net impression: English phrase with character flair.

Screenshot

Security scan screenshot of https://milk-drunk.com/bobbie-podcast-laura-dern-diane-ladd/

Page Load Overview

38.90s
Total Load Time
179
HTTP Requests
39
Domains
7.1 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-US
Text Length:8,075 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1793.160.150.14United States
AS16509AMAZON-02
0172.217.18.2United States
AS15169GOOGLE
0142.250.184.227United States
AS15169GOOGLE
0142.250.181.234United States
AS15169GOOGLE
0142.250.185.131United States
AS15169GOOGLE
0142.250.185.234United States
AS15169GOOGLE
054.192.35.125United States
AS16509AMAZON-02
0104.18.19.62United States
AS13335CLOUDFLARENET
0216.58.206.78United States
AS15169GOOGLE
0142.250.186.78United States
AS15169GOOGLE
179193--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9045B739868213E659767DBF1A1730F2619C517CA1348ACBEFE6268CBC5FD1212368C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9pc4/6f4WrmFYRVHNBaQvbSffUttqovnxDvlznRJznFiiXWJb1sxEAZ:kBVHNBaQvbSffUtt7vnxDvnr9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185806:BAEDfcHMQEIfLkV/MDMESDggoHkDCkYADNQgIMAyEAKgoEcBmUAysQKVEFGAIhIAgYAVJzwboi6iBvoChsiMPlWC1uDmSJDw

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:003c3c383c311303
Perceptual Hash:8ed2316472adcbb1
Difference Hash:9669616169632636
Wavelet Hash:003e3c3c3d3b1303
Color Hash:#5372ac

Other Hashes

Crop Resistant:a6a5a5a5a634a5a5,5398a3b99999999a,fa98a282b2b286a2,9669616169632636

Scan History

Scan history not available

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