Security Scan Report: goosecreeksc.gov

Submitted: Oct 16, 2025, 11:27:37 PMCompleted: Oct 16, 2025, 11:28:41 PMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is goosecreeksc.gov and was registered NaN years ago.

Submitted URL: https://goosecreeksc.gov/

AI Security Verdict

Safe Website

Confidence: 90%

2
Risk Score

Site appears legitimate with minimal risk; only minor redirect oddity noted.

Risk Factors
Circular redirect detected (potential URL manipulation indicator)
Safety Factors
Domain age > 2 years (minimal risk)
.gov TLD indicates official government entity
Page returns 403 Forbidden – no credential or payment collection forms present
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

The City of Goose Creek, SC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'goosecreeksc.gov' is registered with no subdomain. The core label 'goosecreeksc' covers 12 characters containing 5 vowels alongside seven consonants. Splitting it apart reveals 3 words: goose, creeks, c. Median word length is 5 characters. The linguistic tilt is Breton for 'c'. You may catch it in Chinese (Zhuyin) and Chinese (Pinyin) as well.

Screenshot

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

Page Load Overview

5.97s
Total Load Time
10
HTTP Requests
4
Domains
87 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:105 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
adult content
42%
documentation technical
37%
news media journalism
33%
blog personal website
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.250.185.163United States
AS15169GOOGLE
0108.138.2.209United States
AS16509AMAZON-02
0188.114.97.3United States
AS13335CLOUDFLARENET
0142.250.186.106United States
AS15169GOOGLE
0188.114.96.3United States
AS13335CLOUDFLARENET
0108.138.2.71United States
AS16509AMAZON-02
02600:9000:2490:5e00:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:8600:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:6a00:5:acf3:db40:21United States
AS16509AMAZON-02
02a00:1450:4001:811::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
1020--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E73E1DD37600ED8CC9687D2673821493487B4EDE4504951F29E2BE4FF8B69D4AE068F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9IQS0tz0jiTbitkDfLMerF89xSuvcOKNGYUxYo3myMRdQmy:9r/itkDfLKKW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80656:UgABACUEVARyooAEaoMDTQOIAAmvRiAfMFKgCkqFaCmuIqOIAEwYREhgAYQCVizUoCIQxWgkUqAwAgBICOgK9tAFiNAEFpsG

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:0000000000ffffff
Perceptual Hash:dd029add22b2fd22
Difference Hash:11310a4d32320022
Wavelet Hash:081808009affffff
Color Hash:#c1e06c

Other Hashes

Crop Resistant:11310a4d32320022

Scan History

Scan history not available

Unable to load historical scan data