Security Scan Report: sac.edu

Redirected to: https://sac.edu/Pages/WebAdvisor-SelfService.aspx

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Submitted: Oct 1, 2025, 6:30:51 PMCompleted: Oct 1, 2025, 6:31:56 PMpubliccompleted
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Summary

This website contacted 55 IPs in 2 countries across 17 domains to perform 109 HTTP transactions. The main domain is sac.edu and was registered NaN years ago.

Submitted URL: http://sac.edu/Pages/WebAdvisor-SelfService.aspx

Effective URL: https://sac.edu/Pages/WebAdvisor-SelfService.aspxRedirected

The Cisco Umbrella rank of the primary domain is #854,627 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

1
Risk Score

The page appears to be a legitimate self‑service portal for Santa Ana College.

Safety Factors
Long‑standing domain registration
Absence of phishing or malware indicators
Standard hosting environment
No redirects beyond normal HTTPS upgrade
Domain age information unavailable

Details

Page Title

Self-Service

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(61%)

Screenshot

Security scan screenshot of http://sac.edu/Pages/WebAdvisor-SelfService.aspx

Page Load Overview

22.80s
Total Load Time
109
HTTP Requests
17
Domains
1.7 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:2,937 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service61% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
61%
education
45%
education learning
45%
technology software
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
553.33.220.150Seattle, Washington, United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
1142.250.185.164United States
AS15169GOOGLE
154.213.109.112Boardman, Oregon, United States
AS16509AMAZON-02
123.50.131.197Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.185.136United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
118.66.102.44United States
AS16509AMAZON-02
1209.182.205.119United States
AS54641IMH-IAD
118.173.205.90United States
AS16509AMAZON-02
10955--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17C932C620C0A8C37C0E362C47CBAFB58A5AB782B47D4CC44B1FC4DA95F95F856E1572A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:rvAFQ1/nlv8AuiLeZbkhBUVTcPmhtuu/vPPvY7AdBFK//KpMWD8YbEHMEZUY17eY:jAFQ1/nlv8AuiLeZbkhBUVTcPmhtuu/I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93088:lMi8PC6Q0AAdAAIEEQiCAIEGCgOkA0tcoAisEiMwARAh5FWAEiQOENG4hSmBgKh00SSIBQEKo23ReVFUoKEBKEAkCCKRBAVG

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:c3839f9f9f9f82c0
Perceptual Hash:bcbc63c3c0c3c39c
Difference Hash:37373c3c36223697
Wavelet Hash:df839f9f9f9000c0
Color Hash:#74ac53

Other Hashes

Scan History

Scan history not available

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