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Security Scan Report: schools.schoolgist.ng

Submitted: Dec 12, 2025, 12:26:11 AMCompleted: Dec 12, 2025, 12:26:59 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is schools.schoolgist.ng.

Submitted URL: https://schools.schoolgist.ng/us/ny/university/new-york-university

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Domain is unranked but no suspicious activity observed
Domain age information unavailable

Details

Page Title

schools.schoolgist.ng

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

You're looking at domain 'schools.schoolgist.ng' on the Nigerian country-code top-level domain (.ng) with subdomain 'schools'. Its registrable label 'schoolgist' stretches across 10 characters containing 3 vowels alongside seven consonants. Splitting it apart reveals 2 words: school, gist. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://schools.schoolgist.ng/us/ny/university/new-york-university

Page Load Overview

8.18s
Total Load Time
3
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:759 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
51%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.166.23United States
AS13335CLOUDFLARENET
0104.21.16.40United States
AS13335CLOUDFLARENET
02606:4700:3034::ac43:a617United States
AS13335CLOUDFLARENET
02606:4700:3032::6815:1028United States
AS13335CLOUDFLARENET
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A048F77329A063986558498E05B430D9F21B143F506C9BCB9BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8OldL:thoC9JSqzzbs6o3Sj3gcrsM2eAZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187242:CsvSKdcAyigSCCncAgvVBUEIqsRogAKCDYioGOIV5DEh+IASBEQqCJAAkEcQoUZLUmmhASBk8hyUrFfuAZhRAABwuEU2IAbC

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4c0f8f0f0
Color Hash:#c58787

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data