Security Scan Report: m.ultimateknicks.com

Redirected to:
https://m.ultimateknicks.com/home
Submitted: Oct 5, 2026, 11:34:35 AMCompleted: Oct 5, 2026, 11:35:33 AMpubliccompleted

This website contacted 15 IPs in 2 countries across 8 domains to perform 41 HTTP transactions. The main domain is m.ultimateknicks.com and was registered 21 years ago.

Submitted URL: https://m.ultimateknicks.com/

Effective URL:

https://m.ultimateknicks.com/home
Redirected

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Long-established (25-year-old) Knicks fan news and forum site with its own same-origin member login. No threat-intel, YARA, IDS or exfiltration signals; unranked domain is the only weak prior.

Risk Factors (1)
Domain is not in the Cisco Umbrella top 1M, so reputation data is absent
Safety Factors (5)
Domain age ~25 years (well-established)
Site presents its own brand matching its domain (self-branding, not impersonation)
Login form is same-origin and destined for the site's own member accounts
No payment fields, no disguised password fields, no credential exfiltration
Content classifies as news media / forum community discussion
Domain age information unavailable

Details

Page Title

UltimateKnicks.com

Scan Type

public

Domain Name Analysis

Domain 'm.ultimateknicks.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'm'. The registrable portion 'ultimateknicks' spans 14 characters split between five vowels and 9 consonants. Tokenizing the label suggests two words: ultimate, knicks. Median word length is seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://m.ultimateknicks.com/

Page Load Overview

5.68s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,034 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism68% confidence
Type: webapp
Method: ml+structural

All Detected Categories

news media journalism
68%
forum community discussion
61%
entertainment media
58%
education learning
58%
documentation technical
53%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1374.208.231.105United States
AS8560IONOS SE
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
252.214.125.94Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
252.215.19.131Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
213.32.99.78Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2108.132.234.191Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
213.32.99.104Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
263.34.164.159Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
213.32.99.13Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
4115--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5220E019CF61532112244D5FDB0FB22EDD3660BD71E6A20B5BC266EFFD2E825853A9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:NQHMKmBDbbbQbVYZ+Xyl04oS+C+jCN53MmvfC:/BD301XsbN53Mmva

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10158:ATMykBkgkAIASRBCr4roAAGQTBCAeEBMwCUEwtBiSoYAaCMAkNIxoiCCADG9gsEMVAAAVGCljAJidDAyQGAAgBmwgh4R4CWA

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:0000ffffffffff00
Perceptual Hash:954932dc329ddc96
Difference Hash:21d080f47870604c
Wavelet Hash:00007f7f3f3f3f00
Color Hash:#783a55

Scan History

Scan history not available

Unable to load historical scan data