Security Scan Report: newsletters.dailydot.com

Redirected to: https://newsletters.dailydot.com/p/why-is-jon-hamm-dancing-all-over

Submitted: Dec 11, 2025, 3:55:40 AMCompleted: Dec 11, 2025, 3:56:14 AMpubliccompleted
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Summary

This website contacted 32 IPs in 1 country across 5 domains to perform 218 HTTP transactions. The main domain is newsletters.dailydot.com and was registered NaN years ago.

Submitted URL: https://newsletters.dailydot.com/p/why-is-jon-hamm-dancing-all-over?action=share

Effective URL: https://newsletters.dailydot.com/p/why-is-jon-hamm-dancing-all-overRedirected

The Cisco Umbrella rank of the primary domain is #184,976 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate newsletter page with no security concerns.

Safety Factors
Long‑standing domain with reputable parent brand
No suspicious forms or redirects
Content appears to be a standard newsletter article
Domain age information unavailable

Details

Page Title

Marjorie Taylor Greene proves she hasn't changed on "60 Minutes"

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(50%)

Domain Information

The domain name 'newsletters.dailydot.com' uses the commercial generic top-level domain (.com), featuring subdomain 'newsletters'. Its registrable label 'dailydot' stretches across 8 characters holding three vowels versus 5 consonants. Splitting it apart reveals two words: daily, dot. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://newsletters.dailydot.com/p/why-is-jon-hamm-dancing-all-over?action=share

Page Load Overview

7.54s
Total Load Time
218
HTTP Requests
5
Domains
473 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:5,128 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
entertainment media
41%
corporate
35%
social_media
25%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32151.101.194.217San Francisco, California, United States
AS54113FASTLY
6172.64.151.232United States
AS13335CLOUDFLARENET
6104.18.37.200United States
AS13335CLOUDFLARENET
654.192.35.66United States
AS16509AMAZON-02
654.192.35.104United States
AS16509AMAZON-02
6151.101.130.217San Francisco, California, United States
AS54113FASTLY
6151.101.2.217San Francisco, California, United States
AS54113FASTLY
6104.18.36.24United States
AS13335CLOUDFLARENET
654.192.35.11United States
AS16509AMAZON-02
654.192.35.100United States
AS16509AMAZON-02
21832--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1614418628822D42F460788DDF2BEBF2D618BC21B9659C8D4BCEC467017C6CB37D5B5A1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0iCJVDV4EXl6HZ3x9ADg2K1+ElTRB77wDesRj9r9go9zI9kg9eU99N9Rn9kkTsTa:0+3cSsMsTcrQAjey+nU7Ce/T/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:270926:cwSQUAEBMoWTUPEEwoAACmOeBCEZDZKkJAaQiTkpYAJDn5OQKDoQr1hCYREIQECdiTAAiCQAU0cgIKkCC0SKI4UiAEQhAx7K

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:00001800001800ff
Perceptual Hash:8832f64cf373cc46
Difference Hash:8db3b34dabb3290f
Wavelet Hash:00031b035bdb01ff
Color Hash:#9d53ac

Scan History

Scan history not available

Unable to load historical scan data