Security Scan Report: micmac-nsn.gov

Submitted: Nov 20, 2025, 8:12:48 AMCompleted: Nov 20, 2025, 8:15:43 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is micmac-nsn.gov and was registered NaN years ago.

Submitted URL: https://micmac-nsn.gov/gdpr/consent/?redirect=/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Long‑standing .gov domain
Standard cookie consent banner (legitimate GDPR requirement)
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

You're looking at domain 'micmac-nsn.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'micmac-nsn' stretches across 10 characters containing 2 vowels alongside seven consonants, notching 1 hyphen. Splitting it apart reveals three words: micmac, ns, n. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://micmac-nsn.gov/gdpr/consent/?redirect=/

Page Load Overview

10.71s
Total Load Time
3
HTTP Requests
1
Domains
26 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
Text Length:28,766 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.152.143.240Herndon, Virginia, United States
AS13768COGECO-PEER1
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF23085FC34E2373138297227B6666E9FB29412D179D98AEBC0C411957C0E9C8B3B3D6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Pj4doXLl10Z1ubHiBI/M6ndwE51eBi5TzObE:PP12RBEpXwfbE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46484:IAIolGMFZBRbxABhQmCwIEHKiJS6igAQeJGIAIai+RQIhIxDAikMEIBAQVwkAZA5QIA6DwbKDEAFUihHEmggNogxwgaSYAAB

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:cfc3c3ffffffffff
Perceptual Hash:e424339b9bcccccc
Difference Hash:0a0e060200000000
Wavelet Hash:c0c0d0c00f0f0f0f
Color Hash:#862d4f

Other Hashes

Crop Resistant:0a0e060200000000

Scan History

Scan history not available

Unable to load historical scan data