Security Scan Report: idp.nycenet.edu

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Submitted: Feb 22, 2026, 5:36:17 PMCompleted: Feb 22, 2026, 5:37:33 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is idp.nycenet.edu and was registered NaN years ago.

Submitted URL: https://idp.nycenet.edu/

The Cisco Umbrella rank of the primary domain is #211,447 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate NYC Department of Education sign‑in page; no threats detected.

Safety Factors
Well‑established domain
Official New York City Department of Education domain
No malicious Indicators of Compromise
No suspicious forms or scripts
Domain age information unavailable

Details

Page Title

idp.nycenet.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(77%)

Domain Information

Domain 'idp.nycenet.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'idp'. The second-level label 'nycenet' is 7 characters long split between two vowels and five consonants. Breaking it apart gives 3 words: nyc, e, net. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://idp.nycenet.edu/

Page Load Overview

4.68s
Total Load Time
13
HTTP Requests
7
Domains
530 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:122 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service77% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
77%
education
45%
education learning
40%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13165.155.182.208Brooklyn, New York, United States
AS21704New York City Board of Education
131--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CE048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8OldA:thoC9JSqzzbs6o3Sj3gcrsQ2eAG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184466:SwZaIcCnCkokvyGCQDJJW8CA+gCQkQwjkaBKsAHAQKGQzRgMAoESCSFCYgIDoNAQRCNrAAmiuPUMVEYIDQSQCCwC3CFkkLKC

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:2f0f030f0f0f0f0f
Color Hash:#87bdc5

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data