Security Scan Report: sosnc.gov

Submitted: Oct 26, 2025, 10:16:51 PMCompleted: Oct 26, 2025, 10:20:04 PMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 10 domains to perform 102 HTTP transactions. The main domain is sosnc.gov and was registered NaN years ago.

Submitted URL: https://sosnc.gov/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Site appears legitimate; minor circular redirect noted.

Risk Factors
Circular redirect detected indicates possible URL manipulation
Safety Factors
Official government .gov domain
Secure HTTPS connection
Established domain age (>9 years)
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

North Carolina Secretary of State's Office

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

You're looking at domain 'sosnc.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'sosnc' stretches across 5 characters containing 1 vowel alongside four consonants. Word splitting yields 2 words: sos, nc. Median word length comes out to 2.5 characters. 'sos' is most common in Romanian usage. You will also see it in English and Indonesian contexts.

Screenshot

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

Page Load Overview

3.41s
Total Load Time
102
HTTP Requests
10
Domains
1.5 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:7,525 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
other
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57172.64.155.13United States
AS13335CLOUDFLARENET
31157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5104.18.32.243United States
AS13335CLOUDFLARENET
5216.239.34.36United States
AS15169GOOGLE
52001:4860:4802:34::36United States
AS15169GOOGLE
52a03:2880:f177:185:face:b00c:0:25deFrankfurt am Main, Hesse, Germany
AS32934FACEBOOK
52606:4700::6810:4f49United States
AS13335CLOUDFLARENET
52606:4700::6810:5049United States
AS13335CLOUDFLARENET
52a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5104.16.79.73United States
AS13335CLOUDFLARENET
10218--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E53711044F2113720A7998177F1BF1AFF96D023EA46991573FC67A8AFC2E82AD0365D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:r84Fn2826FC2wYmmMf9XOWSu/iU5wWMuy2TA/r:r8sHS1YmmMf9X+UJ8/r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64955:MIQwpAmiKAXcAJQMAECSwcEYIohAQiIjgQlgIkYYQA4RAMoAQAZvMKkaWaETfUsQISCOqKiCD1AIYeqTZFHKuCgIOQGxJJCC

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:8fffc3c3c3e3dfff
Perceptual Hash:b039cfc6383964e6
Difference Hash:b60e9e9e86869291
Wavelet Hash:00cfc3c3c3c3cbd9
Color Hash:#1f3e93

Scan History

Scan history not available

Unable to load historical scan data