Security Scan Report: townofcarl.gov

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Submitted: Dec 7, 2025, 12:49:37 PMCompleted: Dec 7, 2025, 12:51:44 PMpubliccompleted
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Summary

This website contacted 47 IPs in 2 countries across 10 domains to perform 104 HTTP transactions. The main domain is townofcarl.gov and was registered NaN years ago.

Submitted URL: https://townofcarl.gov/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site appears to be a legitimate municipal page but has a recent domain and low legitimacy signals, resulting in low risk.

Risk Factors
Recent domain registration (< 180 days)
Low legitimacy signals
Unranked domain in Cisco Umbrella
Safety Factors
Uses official .gov TLD
No credential or payment forms present
No malicious Indicators of Compromise matches found
Content aligns with a municipal government site (address, events, council meetings)
Domain age information unavailable

Details

Page Title

Discover Carl Town – Services, News & Updates

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'townofcarl.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Count 10 characters in 'townofcarl' holding 3 vowels versus seven consonants. It segments into three words: town, of, carl. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.55s
Total Load Time
104
HTTP Requests
10
Domains
3.2 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:3,278 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
44%
forum community discussion
26%
documentation technical
25%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5123.207.210.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
19104.21.51.144United States
AS13335CLOUDFLARENET
1223.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.67.132.85Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
3216.239.32.36United States
AS15169GOOGLE
313.248.243.5United States
AS16509AMAZON-02
276.223.105.230United States
AS16509AMAZON-02
2216.239.34.36United States
AS15169GOOGLE
2104.21.1.173United States
AS13335CLOUDFLARENET
23.161.82.30United States
AS16509AMAZON-02
10447--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14914D71331081619C1F74CE892603B843282EA0EC95593B0D6BC5DBAABD579573BEF7E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+5ZJB0CwRaBaxYAPQkYkK3YYQ2MbsR2GsmDjYKQNhrvS6YIrqW/YhDDJwLAPX9F3:RcBs+YEmJnH4eEzD9RVQpl7GbUQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:201830:dwAFiOOSCngiUUhQAESMwU4OAIHR7gITGCgiiQICBODUCYkFDigMWc1RH+JAawAJCsMAMCSGEy4AGBiDBQHyZqLQgIAICNuc

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:ffc01818181903fb
Perceptual Hash:8d72738cdc279931
Difference Hash:410d317333336747
Wavelet Hash:ffe01819181b03ff
Color Hash:#3a7878

Scan History

Scan history not available

Unable to load historical scan data