Security Scan Report: www.sos.nm.gov

Submitted: Nov 4, 2025, 3:02:35 PMCompleted: Nov 4, 2025, 3:03:57 PMpubliccompleted
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Summary

This website contacted 70 IPs in 2 countries across 18 domains to perform 89 HTTP transactions. The main domain is sos.nm.gov and was registered NaN years ago.

Submitted URL: https://www.sos.nm.gov/voting-and-elections/voter-information-portal-nmvote-org/voter-registration-information/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate government site with a minor redirect issue.

Risk Factors
Circular redirect detected indicating possible URL manipulation
Safety Factors
Official New Mexico government domain (sos.nm.gov)
Domain registered since 2000 (over 25 years old)
No malicious Indicators of Compromise
Only standard search/contact forms present
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.

Page Title

Voter Registration Information | Maggie Toulouse Oliver - New Mexico Secretary of State

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(92%)

Domain Information

The domain 'www.sos.nm.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www.sos'. The registrable portion 'nm' spans 2 characters containing zero vowels alongside 2 consonants. Segmentation suggests one word: nm. 'nm' most often appears in Sinhala. Secondary signals appear in Indonesian and Malay.

Screenshot

Security scan screenshot of https://www.sos.nm.gov/voting-and-elections/voter-information-portal-nmvote-org/voter-registration-information/

Page Load Overview

19.84s
Total Load Time
89
HTTP Requests
18
Domains
2.3 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:21,112 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
92%
government
48%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2018.245.86.69United States
AS16509AMAZON-02
1146.75.120.159Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1142.250.181.238United States
AS15169GOOGLE
1142.250.186.35United States
AS15169GOOGLE
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
118.245.86.52United States
AS16509AMAZON-02
118.245.86.37United States
AS16509AMAZON-02
1172.66.0.227United States
AS13335CLOUDFLARENET
1142.250.185.68United States
AS15169GOOGLE
199.84.152.51United States
AS16509AMAZON-02
8970--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16FC462CFEF7536B97107A3953CE59624D2AA4107CE0418D2BEB0E728A7837270ABD15D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:t3SWX67t8yBJXSQ3fucSH54skc2XVeIUjnEgIPX3f5XSQ3fucSH54skc2XVeIUj3:t3SWX67t8yBJXSQ3fucSH54skc2XVeIC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:573320:MiKKFHKK7zhoMIAwMJKYAARVAIQIrBOIQlsjIYQg9VvQ14qhFgIL5QgN4AhABgiUDkCggAQIACUDFSmmEN1x4GAjAUAkMBEJ

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:000001ffffffffff
Perceptual Hash:a02c64c5d5e5aeba
Difference Hash:c69f9fd998d79f9d
Wavelet Hash:00000000ffffffff
Color Hash:#e0966c

Scan History

Scan history not available

Unable to load historical scan data