Security Scan Report: info.porterchester.edu

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Submitted: Oct 2, 2025, 11:39:11 PMCompleted: Oct 2, 2025, 11:40:12 PMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 6 domains to perform 38 HTTP transactions. The main domain is info.porterchester.edu and was registered NaN years ago.

Submitted URL: https://info.porterchester.edu/alysha-newman-of-leaks

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears legitimate and low risk, though it contains some unrelated spam content.

Risk Factors
Domain is UNRANKED in Cisco Umbrella (weak indicator)
Presence of unrelated spam keywords (e.g., "Onlyfans Leaks") in OCR text
Safety Factors
Established university subdomain (info.porterchester.edu)
No malicious Indicators of Compromise
No login or payment fields
Domain age information unavailable

Details

Page Title

Alysha Newman: Soaring Success in Leaps - Tech Hub at Porterchester

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(68%)

Screenshot

Security scan screenshot of https://info.porterchester.edu/alysha-newman-of-leaks

Page Load Overview

41.75s
Total Load Time
38
HTTP Requests
6
Domains
863 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-US
Text Length:8,642 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical68% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
68%
education learning
52%
news/blog
50%
blog personal website
47%
education
45%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.217.16.202United States
AS15169GOOGLE
2142.250.185.170United States
AS15169GOOGLE
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
2134.209.68.79North Bergen, New Jersey, United States
AS14061DIGITALOCEAN-ASN
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.250.186.131United States
AS15169GOOGLE
22a00:1450:4001:81d::200aUnknownUnknown
22a04:fa87:fffe::c000:4902UnknownUnknown
2150.171.28.10UnknownUnknown
22620:1ec:33:1::10UnknownUnknown
3813--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A793F572E0F400771B53A1E592B37715AFA09007DD41AE55B8FC03684F8AEB2A867B7D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zDwUq7Nwa80Onj9R4h2dQFemiHEORTx4xao4hJz3Uz1k3TD:zsKRQuHEMxXOe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:95981:ZgiELBHNgfmWE4soiEIQACBQzSgAVEQVKpamiACgADJ8SPgQoQUQIy1RAEEWWcsKAABCH1MEGOwQWEkSkgXTBabMQZoBIABF

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:c381ffdfcfcfcfcf
Perceptual Hash:b94e3161c693d6c6
Difference Hash:0f23283b3a1e9a9a
Wavelet Hash:e78183bb838387c7
Color Hash:#c287c5

Scan History

Scan history not available

Unable to load historical scan data