Security Scan Report: maccor.gov

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Submitted: Oct 15, 2025, 4:28:35 AMCompleted: Oct 15, 2025, 4:29:03 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 6 domains to perform 43 HTTP transactions. The main domain is maccor.gov and was registered NaN years ago.

Submitted URL: https://maccor.gov/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns

Safety Factors
.gov TLD indicates government affiliation
Contact form lacks password or payment fields
Domain age 238 days (moderate) with no suspicious activity
Domain age information unavailable

Details

Page Title

Home - MACC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'maccor.gov' is registered without a subdomain. Count 6 characters in 'maccor' holding 2 vowels versus 4 consonants. Tokenizing the label suggests 2 words: mac, cor. The median word length lands at three characters. 'mac' most strongly signals Catalan. Usage also turns up in Galician and Portuguese contexts.

Screenshot

Security scan screenshot of https://maccor.gov/

Page Load Overview

12.53s
Total Load Time
43
HTTP Requests
6
Domains
1.4 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-US
Text Length:2,336 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
47%
corporate
35%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.250.186.163United States
AS15169GOOGLE
4142.250.186.132United States
AS15169GOOGLE
4142.250.186.74United States
AS15169GOOGLE
4165.232.62.195Santa Clara, California, United States
AS14061DIGITALOCEAN-ASN
4216.58.206.35United States
AS15169GOOGLE
42a00:1450:4001:810::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
42a00:1450:4001:80b::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
42a00:1450:4001:82b::2004Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
42a00:1450:4001:811::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
439--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15114974F9BB932B071434FE5EDCAA3D4D35CC253AA5208DA79A1D50D8F832DE496211F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6mKZdap5brCTllHsImIuRNjcXscJGcz74k52wAKaQ9Cp3RYovJGtpV/40uRphvM/:Sap5rEF4kowSGeJGtpV/4hnhvMVGejt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198699:MAyydFAEhNQCsQCAfvBUKiWSUgJoVBJMbAgCCkIggB2NKhkCQvGq7gJBKEFAMEyLce0cIZYAYEBYfHkgJgAhB8YQAHzgCXQI

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:ff002020003c3c3c
Perceptual Hash:c2e59a9caa94a8f5
Difference Hash:32c1c1c141d1f5d5
Wavelet Hash:ffe0c060207c7c7d
Color Hash:#3a5b78

Scan History

Scan history not available

Unable to load historical scan data