Security Scan Report: www.scacchoops.com

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Submitted: Completed: publiccompleted
This website contacted 25 IPs in 2 countries across 15 domains to perform 61 HTTP transactions. The main domain is scacchoops.com and was registered 22 years ago.

Submitted URL: https://www.scacchoops.com/unc-mens-basketball-schedule

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Self-branded sports schedule site with no threat-intel, hunting rule, IDS, or phishing indicators; login field and unknown domain age warrant caution, not a scam verdict.

Risk Factors (1)
Password field present on a domain with unknown registration age, though no cross-origin or exfiltration behavior was detected.
Safety Factors (5)
Self-branding detected: site title/meta match the scacchoops.com domain.
No brand impersonation of another organisation detected.
No threat-intelligence matches against the scanned page or loaded resources.
No JavaScript malware patterns or network IDS alerts detected.
No cross-origin credential forms or credential exfiltration detected.
Domain age information unavailable

Details

Page Title

UNC Men's Basketball Schedule - SCACCHoops.com

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.scacchoops.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. The registrable portion 'scacchoops' spans 10 characters split between 3 vowels and seven consonants. It segments into three words: sc, acc, hoops. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

SCACCHoops.com News s Football Fantasy About Us Unlock the Power of GameSim+ jections + Multipl Parlay Build Subscribe Now UNC Men's Basketball Schedule Select Team: Date/Time Home Away wv Unlock...

Page Load Overview

9.15s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:92,519 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism45% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
45%
gambling betting
30%
corporate
25%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13107.180.88.94Ashburn, Virginia, United States
AS398101GoDaddy.com, LLC
2185.3.92.76London, England, United Kingdom
AS63949Akamai Connected Cloud
2142.251.127.95Google · CDNUnited States
AS15169Google LLC
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
291.228.74.200Aws · CLOUDUnited Kingdom
AS16509Amazon.com, Inc.
235.186.236.140Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
218.66.102.121Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
291.228.74.166Aws · CLOUDUnited Kingdom
AS16509Amazon.com, Inc.
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
6125--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ACF49632F840192FA77B45C8A749D70A72D6A31FF4E90410D5DA076C8AE5EBCB41F2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:BL4nvJouzhUubi4ahyq6EwyDyKyXyvyRyuyny+ylytyvypybyryQywy5y3zydyjF:BL4nmhymZHDXH3TBi+PSXW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:788017:A5GcsJQMArAAhUjKgUCFPkIS2ETAAPQSHQWC8g7AkHxJpABAwELDFkEOS2ELyIChCEAk0HwhNhYkKeEBWqBkUwqR1AMAADiE

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:0018181838381800
Perceptual Hash:c91436636b591d5d
Difference Hash:8cb2b2333333330b
Wavelet Hash:0018dbb9b9b9b999
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data