ScanMalware.com

Security Scan Report: teachnyc.net

Site favicon
Submitted: Dec 7, 2025, 10:37:18 AMCompleted: Dec 7, 2025, 10:38:58 AMpubliccompleted
Loading additional data...

Summary

This website contacted 76 IPs in 3 countries across 27 domains to perform 123 HTTP transactions. The main domain is teachnyc.net and was registered NaN years ago.

Submitted URL: https://teachnyc.net/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site for NYC teaching applications with no security concerns.

Safety Factors
Well‑established domain (registered since 2003)
Official NYC Public Schools branding and content
No credential‑harvesting or payment collection
No hidden password fields or suspicious redirects
Domain age information unavailable

Details

Page Title

Find Your Path to Teaching at… | Apply to Teach at NYC Public Schools

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(90%)

Domain Information

Domain 'teachnyc.net' uses the network infrastructure generic top-level domain (.net). Its registrable label 'teachnyc' stretches across 8 characters holding two vowels versus six consonants. Splitting it apart reveals two words: teach, nyc. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://teachnyc.net/

Page Load Overview

1.25s
Total Load Time
123
HTTP Requests
27
Domains
4.0 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
Text Length:18,439 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service90% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
90%
education learning
86%
education
35%
corporate
35%
adult content
31%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
45104.26.2.35United States
AS13335CLOUDFLARENET
11150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
8216.198.54.3United States
AS209242Cloudflare London, LLC
8142.251.140.168United States
AS15169GOOGLE
6184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
52.16.168.112Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
544.195.114.4Ashburn, Virginia, United States
AS14618AMAZON-AES
4142.250.186.99United States
AS15169GOOGLE
434.49.192.216Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
12376--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13254C4235124AC22603F86D464365732A0F7CB7BEA9606C0FE9A87F617FECA0B537455

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JYBUM734LwFxoWcSjUq2VcptFaSeAg/3q:o34LwFxoWcSjUq2VcptFv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:283476:ACSEICKIagAgABwdASiAi0W85AkQBIKQALMAaoGNkY1GcE+mgIT3aY0ZroARiCE4itQebiTQGEBQgMBAENUUQgAaNADAAIaB

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:fdfff3f3df8f040c
Perceptual Hash:9ce712bad263a847
Difference Hash:c93636b636331c34
Wavelet Hash:fdf3d2d29b8f0008
Color Hash:#40bf80

Other Hashes

Crop Resistant:c93636b636331c34,d0c0c0acacc0c0d0,d0c0d0d0c0f7a3ab,d1e98aaee6a69491,1098eae8e8a89694,b636363637181c3c

Scan History

Scan history not available

Unable to load historical scan data