Security Scan Report: jacobin.com

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Submitted: Oct 16, 2025, 12:01:49 AMCompleted: Oct 16, 2025, 12:03:45 AMpubliccompleted
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Summary

This website contacted 124 IPs in 4 countries across 33 domains to perform 99 HTTP transactions. The main domain is jacobin.com and was registered NaN years ago.

Submitted URL: https://jacobin.com/2025/10/mamdani-mayor-nyc-campaign-speech

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Established, long‑standing domain
No malicious Indicators of Compromise
Login forms are native to the site and not used for credential harvesting
Domain age information unavailable

Details

Page Title

Zohran Mamdani: “Our Time Is Now”

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

Within the commercial generic top-level domain (.com), 'jacobin.com' is registered without a subdomain. Its registrable label 'jacobin' stretches across 7 characters split between three vowels and 4 consonants. Word splitting yields one word: jacobin. Most frequently, 'jacobin' shows up in Finnish. Secondary signals appear in Albanian and Malay.

Screenshot

Security scan screenshot of https://jacobin.com/2025/10/mamdani-mayor-nyc-campaign-speech

Page Load Overview

41.14s
Total Load Time
99
HTTP Requests
33
Domains
2.4 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:19,769 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
99188.166.57.74Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
0142.250.74.196United States
AS15169GOOGLE
0142.250.186.170United States
AS15169GOOGLE
0172.67.188.32United States
AS13335CLOUDFLARENET
03.171.214.84United States
AS16509AMAZON-02
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0172.67.217.118United States
AS13335CLOUDFLARENET
0108.138.3.93United States
AS16509AMAZON-02
0216.239.34.36United States
AS15169GOOGLE
0142.250.186.131United States
AS15169GOOGLE
99124--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10FF3D821AC78E12D911341E4E5A0970BC1EBD217C199EE9C79FD693C4F83ADB9D2341E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:peSxLid0LEJ08yyUCIXqOBdKFefe7YG6zP9TBUVnpScewdjG7EYmTHZp4ZKDlWk:peSlebdOBJ2d6J+jom7Zp4i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165561:4gIAi5QNwSKQBADR4oClUkhcIRBRUXSDYKLBiPIUItBToaRMAMqEgCg44Y0ChiQCdAKLh4qUAMQNCFY5IYcFIAkIg0VRS+VQ

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:003c3c3c3c3c00ff
Perceptual Hash:ca1f2576e1649971
Difference Hash:71696969696965d3
Wavelet Hash:003d3d3c3c3c30ff
Color Hash:#931f5d

Scan History

Scan history not available

Unable to load historical scan data