Security Scan Report: www.syracusenews.biz

Submitted: Dec 11, 2025, 11:16:48 AMCompleted: Dec 11, 2025, 11:17:43 AMpubliccompleted
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Summary

This website contacted 41 IPs in 3 countries across 20 domains to perform 220 HTTP transactions. The main domain is syracusenews.biz and was registered NaN years ago.

Submitted URL: https://www.syracusenews.biz/newschannel-9-wsyr-localsyr/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain age
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

NewsChannel 9 WSYR | LocalSYR | Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(91%)

Domain Information

The domain 'www.syracusenews.biz' uses the business-focused generic top-level domain (.biz) and includes subdomain 'www'. The registrable portion 'syracusenews' spans 12 characters holding 4 vowels versus 8 consonants. Segmentation suggests two words: syracuse, news. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.syracusenews.biz/newschannel-9-wsyr-localsyr/

Page Load Overview

28.62s
Total Load Time
220
HTTP Requests
20
Domains
10.9 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-US
Text Length:3,393 chars
Detector Agreement:80%

Website Classification

Primary Category

news media journalism91% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
91%
news/blog
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2035.214.168.80Groningen, Groningen, Netherlands
AS15169GOOGLE
5192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
5188.114.97.3United States
AS13335CLOUDFLARENET
5104.26.1.81United States
AS13335CLOUDFLARENET
5172.217.23.97United States
AS15169GOOGLE
5172.66.0.227United States
AS13335CLOUDFLARENET
5104.26.0.81United States
AS13335CLOUDFLARENET
5172.67.69.204United States
AS13335CLOUDFLARENET
53.94.189.168Ashburn, Virginia, United States
AS14618AMAZON-AES
5142.250.184.194United States
AS15169GOOGLE
22041--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A594E791F2F1A0BE212E69D4306B63D13127EF19FA00AFE032B8FBC1569595B107B56D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:IPZ+bzngUQTmZzer/vPU16e0+GNb2ka7Kk6e0+G7blgLkmLKI:iCwEzer/je0+GNib7Kfe0+G7Q/LKI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:437120:SMByF5CAozQgEEFbJLBEGhiFVWDJNAOAECHoCwaBaAIc1IYUaASAEghhFIQ7UAC0QcsACFs3AJCopSggAUIlQDCEpkhEiTWw

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:ff0000cb83ffffff
Perceptual Hash:a966c6f9b9929229
Difference Hash:2c6bed121a1ae19c
Wavelet Hash:f600008383cbffdf
Color Hash:#9e87c5

Scan History

Scan history not available

Unable to load historical scan data