Security Scan Report: www.talalaok.gov

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Submitted: Dec 9, 2025, 3:39:40 AMCompleted: Dec 9, 2025, 3:40:49 AMpubliccompleted
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Summary

This website contacted 40 IPs in 2 countries across 14 domains to perform 87 HTTP transactions. The main domain is talalaok.gov and was registered NaN years ago.

Submitted URL: https://www.talalaok.gov/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Government TLD indicates legitimate authority
Established domain age reduces suspicion
Absence of forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Town of Talala

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'www.talalaok.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The registrable portion 'talalaok' spans 8 characters holding four vowels versus four consonants. Segmentation suggests 3 words: talal, a, ok. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.talalaok.gov/

Page Load Overview

19.88s
Total Load Time
87
HTTP Requests
14
Domains
5.2 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:3,385 chars
Detector Agreement:75%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
corporate
35%
government public service
31%
technology software
28%
finance banking
27%

Detected Features

Search
Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2172.67.139.119United States
AS13335CLOUDFLARENET
234.160.236.44Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2198.49.23.144United States
AS53831SQUARESPACE
2216.239.34.36United States
AS15169GOOGLE
2198.185.159.145United States
AS53831SQUARESPACE
2104.21.26.223United States
AS13335CLOUDFLARENET
2172.67.68.126United States
AS13335CLOUDFLARENET
2216.239.32.36United States
AS15169GOOGLE
22.16.241.222Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8740--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1245483216D54107BB05A9DBBB041BF386AB2E71799820980F97C4E507FF2DEA384F725

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:t4IbmRSkJ6ULr0iLzYIlgrLXzZJo191tjoz1FfHcjADm2L9MhVn2ue:9ABHg/XTqP0HZM+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:282960:haqiEAgOpKLmcNVEYkTYB0HByFxLgAIABkc0AgFkMIQzBUjMIUEdwYBAgMimAYLYAsZDPDQokgoRxQGAHEhVwaEiiMSYsA6C

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:000000ffffffc300
Perceptual Hash:a80328b4cbf54bd7
Difference Hash:b3b7590e00161649
Wavelet Hash:000000ffffffdf01
Color Hash:#1f934e

Scan History

Scan history not available

Unable to load historical scan data