Security Scan Report: gulfshoresal.gov

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Submitted: Oct 30, 2025, 2:30:12 PMCompleted: Oct 30, 2025, 2:33:39 PMpubliccompleted
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Summary

This website contacted 43 IPs in 2 countries across 16 domains to perform 183 HTTP transactions. The main domain is gulfshoresal.gov and was registered NaN years ago.

Submitted URL: https://gulfshoresal.gov/

AI Security Verdict

Moderate Risk

Confidence: 72%

2
Risk Score

Site looks legitimate but the circular redirect is a suspicious behavior.

Risk Factors
Circular redirect detected – indicates possible URL manipulation or redirect loop
Safety Factors
Domain age > 20 years (well‑established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Content appears to be a legitimate municipal website
Domain age information unavailable

Details

Page Title

Gulf Shores, AL - Official Website | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'gulfshoresal.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Count 12 characters in 'gulfshoresal' containing four vowels alongside 8 consonants. It segments into 3 words: gulf, shores, al. Expect 4 characters per word on average. The linguistic tilt is Catalan for 'gulf'. You will also see it in Basque and Spanish contexts.

Screenshot

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

Page Load Overview

5.10s
Total Load Time
183
HTTP Requests
16
Domains
10.6 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:11,927 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
legitimate website
26%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
90208.90.189.177United States
AS393775IPP-AS
33157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
14142.250.186.35United States
AS15169GOOGLE
14104.18.28.155United States
AS13335CLOUDFLARENET
11157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5216.239.34.36United States
AS15169GOOGLE
5142.250.186.104United States
AS15169GOOGLE
4216.58.206.35United States
AS15169GOOGLE
4142.250.186.106United States
AS15169GOOGLE
4142.251.140.168United States
AS15169GOOGLE
18343--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100444AE0A38C2437402732D0F07AA748A87B857AEB075D55FCBD1171AFD4CE1A5772AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:j8KJWu2dv1LY3fUZ8ff4TWtyWPi/oe6/mH8hynobkdT6Xk65f9:j8KJWu2dv1LY3fUZ8ff4TWtyWPi/oe6B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:270421:MERRhCGIAouZIOAkbh0ggBAgAhDIDiToIQMOibEEQli4EgmgBcLlA1Fxj0CNDoYJQgMinBICQOqAgggbEAR2MQHSCTxSYSkh

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:0000fffce0e002ff
Perceptual Hash:f04a2d73ca35a32d
Difference Hash:83a0a48080981e66
Wavelet Hash:0010fffef0e002ff
Color Hash:#40bfae

Scan History

Scan history not available

Unable to load historical scan data