Security Scan Report: nycc2025.online

Submitted: Nov 19, 2025, 5:13:54 AMCompleted: Nov 19, 2025, 5:14:40 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is nycc2025.online and was registered NaN years ago.

Submitted URL: http://nycc2025.online/webfonts/fa-v4compatibility-2.html

AI Security Verdict

Confirmed Scam

Confidence: 88%

10
Risk Score

New, unranked site with circular redirect; likely phishing scam

Risk Factors
Circular redirect indicates URL manipulation
Brand new domain suggests likely malicious setup
Unranked domain increases suspicion
Generic error page may be used to hide malicious activity
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

Within the modern generic top-level domain (.online), 'nycc2025.online' is registered and has no subdomain. The second-level label 'nycc2025' is 8 characters long with 0 vowels and 4 consonants, notching four digits. Word splitting yields three words: nyc, c, 2025. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://nycc2025.online/webfonts/fa-v4compatibility-2.html

Page Load Overview

8.11s
Total Load Time
5
HTTP Requests
1
Domains
N/A
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:741 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
65%
adult content
57%
government public service
31%
phishing scam
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5198.251.89.220Luxembourg, Luxembourg, Luxembourg
AS53667PONYNET
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19821353EC2C1520AE0270164FB91F7982659821291670F713A5EB1B6F6CC0F752936C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:HGD6FJRA3ZsjNQCRtgoLY95Mu56+eMHLFCOXAkRcfRrzd0Ll72rKv:H669j2CZLY5Mc6NMLYzkYKLlOy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1230:AAAAIDAAAAQACAAACQAAAACAAAAAAAAAAAEAAAITAADAAAAAAAAAAAEUAqAAAAAAAgAAAAAAEAAAAEAgAAAAABAAAAIAAAAA

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:ffffe7e7ffffff00
Perceptual Hash:e6a25d9966b26698
Difference Hash:08000c0c10000008
Wavelet Hash:0000040400080300
Color Hash:#4c2d86

Other Hashes

Scan History

Scan history not available

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