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Security Scan Report: nygoodcity17.com

Submitted: Jan 7, 2026, 6:05:27 AMCompleted: Jan 7, 2026, 6:07:03 AMpubliccompleted
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Summary

This website contacted 7 IPs in 4 countries across 7 domains to perform 60 HTTP transactions. The main domain is nygoodcity17.com and was registered NaN years ago.

Submitted URL: https://nygoodcity17.com/

AI Security Verdict

Low Risk

Confidence: 80%

1
Risk Score

Newly registered site with no obvious malicious activity; likely benign but monitor due to age.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No external links or redirects
Page title and OCR text do not impersonate any known brand
Domain age information unavailable

Details

Page Title

在线咨询

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'nygoodcity17.com' is registered while skipping any subdomain. The second-level label 'nygoodcity17' is 12 characters long with three vowels and 7 consonants; bonus characters include two digits. Tokenizing the label suggests 4 words: ny, good, city, 17. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nygoodcity17.com/

Page Load Overview

9.47s
Total Load Time
27
HTTP Requests
7
Domains
641 KB
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:4 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
938.14.248.123San Jose, California, United States
AS400619AROSS-AS
343.174.224.10Singapore
AS139341ACE
3163.53.19.13Germany
AS60068
3163.181.58.167Sweden
AS139341
343.175.169.45UnknownUnknown
343.174.225.10Singapore
AS139341ACE
343.175.169.141UnknownUnknown
277--

Detected Technologies3

X-UA-Compatible
100%
HTTP/3
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C1B1760994B34479252350FE8BDEA0087655F10F6A4DCF2C7D6CBA60FF199BD2AA1B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TB8osuRVTdgFPZUVrwal0nWJBk4aWWNCVRFXanLEje8alrjFde0fq2Dc70PnSnNa:V8C5APZUVkal0nWJBk4aW2CVRRanae82

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5354:CBEGCBFwKAKIZIMS0gAACAOBEEgJQCBAENoXIBAEQIABhCgGQAAAEABK4ICgFhMAwAIYUASAJBAiDhAmoBAEAElHJaCBAhBG

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:ffc3e7ffeff7f3ff
Perceptual Hash:e63326cc99cc9933
Difference Hash:004d0c000c140400
Wavelet Hash:2c000000c3c3c3ff
Color Hash:#ac6f53

Other Hashes

Crop Resistant:004d0c000c140400

Scan History

Scan history not available

Unable to load historical scan data