Security Scan Report: www.chalkbeat.org

Submitted: Oct 15, 2025, 11:55:32 PMCompleted: Oct 15, 2025, 11:57:00 PMpubliccompleted
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Summary

This website contacted 178 IPs in 6 countries across 62 domains to perform 231 HTTP transactions. The main domain is chalkbeat.org and was registered NaN years ago.

Submitted URL: https://www.chalkbeat.org/newyork/2025/10/15/zohran-mamdani-tuition-plan-to-meet-nyc-teachers-class-size-law/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate news site with no security concerns.

Safety Factors
Established news organization
Only email newsletter sign‑up forms (no credential harvesting)
No external malicious links
Domain age information unavailable

Details

Page Title

Mamdani proposes tuition aid for new teachers to help NYC lower class sizes - Chalkbeat

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(50%)

Domain Information

Domain 'www.chalkbeat.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. Count 9 characters in 'chalkbeat' with three vowels and 6 consonants. It segments into 2 words: chalk, beat. Expect 4.5 characters per word on average. 'chal' most strongly signals Breton. You will also see it in English and Chinese (Pinyin) contexts. Net impression: Breton phrase.

Screenshot

Security scan screenshot of https://www.chalkbeat.org/newyork/2025/10/15/zohran-mamdani-tuition-plan-to-meet-nyc-teachers-class-size-law/

Page Load Overview

39.16s
Total Load Time
231
HTTP Requests
62
Domains
4.5 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
Text Length:10,804 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

news/blog
50%
education learning
36%
government public service
29%
news
15%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5499.84.152.67United States
AS16509AMAZON-02
152.28.44.241Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1104.26.11.19United States
AS13335CLOUDFLARENET
1142.250.184.194United States
AS15169GOOGLE
1142.250.186.34United States
AS15169GOOGLE
152.36.224.135Boardman, Oregon, United States
AS16509AMAZON-02
1184.24.77.20Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
151.195.73.71France
AS16276OVH SAS
123.37.63.179Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
169.173.144.138Frankfurt am Main, Hesse, Germany
AS26667RUBICONPROJECT
231178--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC343B2BA0444AB6878757D6A1677F88B16F620FC5D05DA4F5EC8B2C53CEDAC8012B4F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NAHMvJj/tPO3U55uZocnq7N7y2tZ7Sfnzw6xQVTYfX6WPhk0b6:555M4Sfnzw6xQVTY756

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:233931:UGMAhCiISDQjBIEBAI3FSxG0CoggiAAegADKWgBCCsQEkpSCwIVgHWAALF4A14qKCAhQRhWYQIFGAAhRUZFoahCiBoASy/Uq

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:e5c3dbffffc787c7
Perceptual Hash:b0cd3362cbb370c9
Difference Hash:4b96163a0f0f0f1e
Wavelet Hash:e500dbc3fb878383
Color Hash:#53ac8d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data