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Security Scan Report: icangotocollege.com

Submitted: Feb 3, 2026, 8:23:59 PMCompleted: Feb 3, 2026, 8:27:03 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 12 domains to perform 1 HTTP transaction. The main domain is icangotocollege.com and was registered NaN years ago.

Submitted URL: https://icangotocollege.com/colleges/bakersfield

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational site about Bakersfield college.

Safety Factors
Well‑established domain with minimal risk category
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
No JavaScript malware detected
Informational content without brand impersonation
Domain age information unavailable

Details

Page Title

Bakersfield College | I Can Go to College | California Community Colleges

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

The domain name 'icangotocollege.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'icangotocollege' is 15 characters long split between 7 vowels and 8 consonants. Breaking it apart gives four words: i, can, goto, college. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://icangotocollege.com/colleges/bakersfield

Page Load Overview

30.16s
Total Load Time
1
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:753 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
62%
adult content
56%
government public service
34%
education learning
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1108.138.7.62United States
AS16509
0146.75.122.208United States
AS16509
0104.16.174.226United States
AS16509
0142.250.187.227United States
AS16509
0104.19.230.99United States
AS16509
0142.251.141.136United States
AS16509
052.222.236.80United States
AS16509
03.141.188.201United States
AS16509
0192.178.170.95United States
AS16509
0104.18.38.142United States
AS16509
112--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15DA409A160F17172408382E5B120BFE7A4E1919BE49A5C88F3DC57106F9BF9ABC4397D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:G04C/vkWEW6wYQsWeNkWeN4vmN48Ec7LF3MIJBuK1ee1tff0aq5Zqsh+RudhSpdb:GU6wCWeNkWeN0x8Ec7nySSpO4w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:465638:DggwdEBnIkGoESYBsFF3AiAWQBikLAVtAagCAM0sahS5AIwJCAiI10KTgP1AsHAAhRTYtgGgBDAAQGiAXkSTGCdcCGCmhghA

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:faffffff3f3f0101
Perceptual Hash:8ad568967550d66d
Difference Hash:923173547661e94b
Wavelet Hash:c09fbfff3f1c0000
Color Hash:#4053bf

Other Hashes

Crop Resistant:923173547661e94b,45554d71514d5545,5a6b7ae0ea13c4c4

Scan History

Scan history not available

Unable to load historical scan data