Security Scan Report: cullmanal.gov

Submitted: Oct 14, 2025, 8:20:26 AMCompleted: Oct 14, 2025, 8:21:15 AMpubliccompleted
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Summary

This website contacted 90 IPs in 2 countries across 15 domains to perform 167 HTTP transactions. The main domain is cullmanal.gov and was registered NaN years ago.

Submitted URL: https://cullmanal.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official government domain (cullmanal.gov)
Long-established domain age
No credential or payment forms present
Domain age information unavailable

Details

Page Title

City of Cullman, Alabama – Stay Awhile, or a Lifetime

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(89%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'cullmanal.gov' is registered with no subdomain. The registrable portion 'cullmanal' spans 9 characters split between 3 vowels and 6 consonants. Breaking it apart gives 2 words: cull, manal. Expect 4.5 characters per word on average. 'cull' most strongly signals Catalan. It also appears in English and Chinese (Pinyin) contexts. Overall, 'cullmanal.gov' reads as Catalan.

Screenshot

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

Page Load Overview

30.07s
Total Load Time
167
HTTP Requests
15
Domains
7.9 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:12,984 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network89% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
89%
government public service
78%
news media journalism
52%
government
48%
adult content
45%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7852.217.225.56Ashburn, Virginia, United States
AS16509AMAZON-02
1142.250.181.227United States
AS15169GOOGLE
1142.250.185.142United States
AS15169GOOGLE
1142.250.186.174United States
AS15169GOOGLE
1142.250.185.193United States
AS15169GOOGLE
1172.217.23.110United States
AS15169GOOGLE
1104.18.36.34United States
AS13335CLOUDFLARENET
1141.193.213.21United States
AS209242Cloudflare London, LLC
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1142.250.185.131United States
AS15169GOOGLE
16790--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19FE3C9B3A4651037523B76CEB164F71CA1F38399EF424641B6FC6268F7CAEE9202161D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:mYi477jF7E1WMGuL8kwlOM3bEiyEPkc5UaOmiQHcC9kT/RNTkhdQJ5dLrMi3hQD9:mYJQ1VGuL8kwlOM3bEiyEPkc5dOmiQHz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:156052:CCCX/TCkAggizgeCFQAYAAIxIoYACADUAItXtJJC8IhImmSLUYDJhCHIiVEKVIECkRQpATFg6gJAL3tpSAEQxB0JGCoANACE

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:ffffc3c383cbcbcb
Perceptual Hash:b993c4ce3e31312e
Difference Hash:2e321b1b2b1b133b
Wavelet Hash:bfff818381c181c1
Color Hash:#2d8646

Scan History

Scan history not available

Unable to load historical scan data