ScanMalware.com

Security Scan Report: www.pozogoldsteinny.com

Submitted: May 24, 2026, 3:48:31 AMCompleted: May 24, 2026, 3:50:47 AMpubliccompleted
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Summary

This website contacted 10 IPs in 1 country across 10 domains to perform 47 HTTP transactions. The main domain is pozogoldsteinny.com and was registered NaN years ago.

Submitted URL: https://www.pozogoldsteinny.com/new-york-immigration-laws/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears legitimate with low risk; no phishing, credential harvesting, or malware indicators were found.

Risk Factors
Domain is unranked in Cisco Umbrella (low reputation)
High JavaScript obfuscation score with devtools blocking
Safety Factors
Old domain registration (over 13 years)
No malicious Indicators of Compromise
No forms collecting passwords or payment information
No JavaScript malware YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

New York Immigration Laws - What You Need To Know

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(43%)

Domain Information

Domain 'www.pozogoldsteinny.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'pozogoldsteinny' stretches across 15 characters with 5 vowels and ten consonants. Splitting it apart reveals 4 words: po, zo, goldstein, ny. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.pozogoldsteinny.com/new-york-immigration-laws/

Page Load Overview

28.52s
Total Load Time
41
HTTP Requests
11
Domains
1.3 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:11,362 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service43% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
43%
corporate
35%
corporate business
26%
news/blog
20%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
518.173.205.129United States
AS16509Amazon.com, Inc.
4142.251.13.95United States
AS15169Google LLC
4104.18.18.161United States
AS13335Cloudflare, Inc.
4142.250.154.94United States
AS15169Google LLC
454.192.35.111United States
AS16509Amazon.com, Inc.
4192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
4142.251.152.119United States
AS15169Google LLC
4142.251.110.97United States
AS15169Google LLC
450.87.226.16Phoenix, Arizona, United States
AS46606Unified Layer
4142.251.14.94United States
AS15169Google LLC
4110--

Detected Technologies7

WordPress
100%
Open-Graph-Protocolvarticle
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
Google Analytics
35%
Podium
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18BD3B7E6544C703F824B6385206EB25DF36A953CCB007881B6FDB2ECD78DFA541A6A49

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UhrOo8kXd4e4ZSTnU36vQ2/OJTkQkpnxRKZkc80:6Oo8+tC1fl40

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:132278:F1DZgpAABKYgnjAAAOAiC2BHALckkKVQTjITAJLsAEAqgBAACHQIkTg48I8wTAIACAyWoAVgIAIANGUhAQBARRlhBADAVRBo

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:fdff00009f9f9f9f
Perceptual Hash:bc43bdbc6243323c
Difference Hash:2b23d5c5333b3737
Wavelet Hash:00ff00009f9f9f9f
Color Hash:#5e2dd2

Other Hashes

Crop Resistant:2b23d5c5333b3737,0104c12c2c2cc105,d4d81b1bc7c49c84

Scan History

Scan history not available

Unable to load historical scan data