ScanMalware.com

Security Scan Report: www.nacc.edu

Submitted: Dec 21, 2025, 12:03:07 PMCompleted: Dec 21, 2025, 12:04:41 PMpubliccompleted
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Summary

This website contacted 60 IPs in 5 countries across 55 domains to perform 244 HTTP transactions. The main domain is nacc.edu and was registered NaN years ago.

Submitted URL: https://www.nacc.edu/

AI Security Verdict

Safe Website

Confidence: 95%

2
Risk Score

Legitimate college website with no apparent security threats.

Risk Factors
Excessive redirects detected (30 redirects) which could be used for tracking or obfuscation
Safety Factors
Well‑established domain with a long registration history
Official educational TLD (.edu) typically reserved for accredited institutions
No malicious Indicators of Compromise identified
No forms collecting passwords, payment details, or personal identifiers
Domain is not newly registered and has a stable hosting environment
Domain age information unavailable

Details

Page Title

Northeast Alabama Community College | NACC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(50%)

Domain Information

You're looking at domain 'www.nacc.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'www'. The second-level label 'nacc' is 4 characters long holding 1 vowel versus three consonants. Word splitting yields 2 words: nac, c. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.nacc.edu/

Page Load Overview

26.97s
Total Load Time
244
HTTP Requests
55
Domains
27.4 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:6,185 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical50% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
50%
education learning
47%
education
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8188.125.94.206Stockholm, Stockholm County, Sweden
AS10310YAHOO-1
43.174.113.30United States
AS16509AMAZON-02
4216.58.209.174United States
AS15169GOOGLE
4216.58.210.170United States
AS15169GOOGLE
435.204.195.167Groningen, Groningen, Netherlands
AS396982GOOGLE-CLOUD-PLATFORM
4142.251.38.67United States
AS15169GOOGLE
434.111.113.62Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
437.252.171.84Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
4216.58.210.163United States
AS15169GOOGLE
444.206.177.134Ashburn, Virginia, United States
AS14618AMAZON-AES
24460--

Detected Technologies6

X-UA-Compatible
100%
JQueryv3.6.0
100%
Google-AnalyticsvUniversal
100%
Bootstrapv4.6.0
100%
HSTS
40%
Drupal
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFC3C623E6B21417423395D8B0F3675A70A2920FD2565E907BFC43BABFCED619423399

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:04rQmj2USpRgz4XxVvnlXtkPeUlK9JkiMDBmqZO2zvsl/3GLJit4C9nYg8cdtoop:J0pQ4XxFXIhTcZ+LlUWU+l7hM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122675:AgIHDtLMRQonRWBgQyIhgki1DkOCSTCeUQQilZOaCJAoAABGIHUCbgA4I5IERERALtKiIWgLTQQEDpalnYBERIKEZIwEwMwB

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:07fbf3fb00001fff
Perceptual Hash:ace58d13338d7607
Difference Hash:bf332603cd33f3ab
Wavelet Hash:07f3f3f900001f5f
Color Hash:#d2882d

Other Hashes

Crop Resistant:bf332603cd33f3ab,659185959985870b,2929716434324351,09ececc8ccc8294b,5a90334cb333fbb3

Scan History

Scan history not available

Unable to load historical scan data