Security Scan Report: watchingthewatchdogs.substack.com

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Submitted: Dec 29, 2025, 2:13:59 PMCompleted: Dec 29, 2025, 2:14:22 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 4 domains to perform 150 HTTP transactions. The main domain is watchingthewatchdogs.substack.com and was registered NaN years ago.

Submitted URL: https://watchingthewatchdogs.substack.com/p/make-the-detroit-newspapers-great

The Cisco Umbrella rank of the primary domain is #9,753 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Substack article with no security concerns.

Safety Factors
Established domain age
High Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No credential or payment collection forms
Legitimate hosting on Substack
Domain age information unavailable

Details

Page Title

Make the Detroit newspapers great again

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(55%)

Domain Information

The domain 'watchingthewatchdogs.substack.com' uses the commercial generic top-level domain (.com) with subdomain 'watchingthewatchdogs'. The core label 'substack' covers 8 characters containing two vowels alongside six consonants. Splitting it apart reveals 2 words: sub, stack. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://watchingthewatchdogs.substack.com/p/make-the-detroit-newspapers-great

Page Load Overview

3.49s
Total Load Time
195
HTTP Requests
5
Domains
139 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:5,435 chars
Detector Agreement:80%

Website Classification

Primary Category

news media journalism55% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
55%
news/blog
45%
corporate
35%
corporate business
29%
adult content
27%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35172.217.18.3United States
AS15169GOOGLE
3254.192.35.100United States
AS16509AMAZON-02
3254.192.35.66United States
AS16509AMAZON-02
32151.101.66.217United States
AS13335CLOUDFLARENET
32172.64.150.56United States
AS13335CLOUDFLARENET
32151.101.2.217United StatesUnknown
1956--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0F3E7618C10D40F82418CAFBABFBF2E21CEE05B5561DC54B9DC893813C1D766F6BA66

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Dhj0PhaPwDPsZruIuPouPMuPouPiuPyuPWuPMps7xI881GJIjOscpGA3HJx/R:DhkDsNs7xI881GJIjOZHbR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165165:sCAGAkCGxGwEDBk0zA0qFggK2BF4HDiQgGJQ4GKAAZMWxGBAhgMACYQrPAwAEoFIQwgCAZUCBGBgLgyAJZneCJgS6IgVUMww

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:44c7dfc7c3c7c7c7
Perceptual Hash:b05256766652c6de
Difference Hash:8c1c100e1e1e1e1e
Wavelet Hash:40c3dfc3c3c3c3c3
Color Hash:#d2772d

Other Hashes

Crop Resistant:8c1c100e1e1e1e1e

Scan History

Scan history not available

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