Security Scan Report: abc7ny.com

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Submitted: Oct 2, 2025, 12:29:39 PMCompleted: Oct 2, 2025, 12:31:50 PMpubliccompleted
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Summary

This website contacted 155 IPs in 3 countries across 37 domains to perform 166 HTTP transactions. The main domain is abc7ny.com and was registered NaN years ago.

Submitted URL: https://abc7ny.com/post/submit-questions-nj-governors-debate-between-democrat-mikie-sherrill-republican-jack-ciattarelli-october-8/17887228/

The Cisco Umbrella rank of the primary domain is #210,866 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The page appears legitimate; it is a standard news site with no malicious activity.

Safety Factors
Long‑standing domain registration (1999)
Official ABC7 New York branding
No login or financial data collection
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Submit questions for NJ governor's debate between Democrat Mikie Sherrill and Republican Jack Ciattarelli on October 8 - ABC7 New York

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(54%)

Domain Information

You're looking at domain 'abc7ny.com' on the commercial generic top-level domain (.com) with no subdomain. The core label 'abc7ny' covers 6 characters split between 1 vowel and 4 consonants, along with 1 digit. Tokenizing the label suggests three words: abc, 7, ny. The median word length lands at 2 characters. 'abc' is most common in Norwegian usage. Secondary signals appear in Danish and Swedish.

Screenshot

Security scan screenshot of https://abc7ny.com/post/submit-questions-nj-governors-debate-between-democrat-mikie-sherrill-republican-jack-ciattarelli-october-8/17887228/

Page Load Overview

92.06s
Total Load Time
166
HTTP Requests
37
Domains
12.9 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:5,922 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism54% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
54%
entertainment media
52%
news/blog
50%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1299.86.4.39United States
AS16509AMAZON-02
152.222.136.17United States
AS16509AMAZON-02
163.140.62.120United States
AS16509AMAZON-02
13.33.135.48United States
AS16509AMAZON-02
13.160.150.79United States
AS16509AMAZON-02
13.160.150.29United States
AS16509AMAZON-02
1162.247.243.39United States
AS54113FASTLY
1104.17.209.240United States
AS13335CLOUDFLARENET
163.35.126.174Dublin, Leinster, Ireland
AS16509AMAZON-02
13.124.173.63Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
166155--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14184086B3550163ADBD39388A2577A8DA120585FBCB7DCCDF08C9B780BDCBE50D1924A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kIt1bfSj2emE1zKfO8ZZrTWNc0G3RSKAF9K7ApGRYpIyZW0:k4bfSjhKfO8ZZrL3DAFHpGRYpIb0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:387629:QiaKIhEyAAygwI2NCIJQkSiEgDGqCAg4nkiyhsCGUABsIBN8gAmiDjTJcAJLgRuUR6CEEYBDowdMFGUCaAk4QIUZCxEEqKJR

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:00ffdffffbf3f3f3
Perceptual Hash:ed126d4d52436d3c
Difference Hash:c03c2e0816161737
Wavelet Hash:00828ffff3f1f180
Color Hash:#783a4b

Scan History

Scan history not available

Unable to load historical scan data