Security Scan Report: www.sanborniowa.gov

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Submitted: Oct 2, 2025, 12:36:15 PMCompleted: Oct 2, 2025, 12:37:54 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 6 domains to perform 38 HTTP transactions. The main domain is sanborniowa.gov.

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate municipal website with minimal risk.

Safety Factors
Well‑established domain registration date (2018‑04‑13)
Absence of malicious Indicators of Compromise
No login or payment collection forms
Consistent municipal branding and content
Domain age information unavailable

Details

Page Title

Official Web Site of City of Sanborn, IA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

Domain 'www.sanborniowa.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. Its registrable label 'sanborniowa' stretches across 11 characters split between five vowels and six consonants. Word splitting yields 2 words: sanborn, iowa. The median word length lands at 5.5 characters. 'sanborn' most strongly signals Danish. Secondary signals appear in German and Estonian.

Screenshot

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

Page Load Overview

62.10s
Total Load Time
38
HTTP Requests
6
Domains
376 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:1,703 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
654.218.35.203Boardman, Oregon, United States
AS16509AMAZON-02
2142.250.184.234United States
AS15169GOOGLE
2142.250.185.234United States
AS15169GOOGLE
2188.114.96.3United States
AS13335CLOUDFLARENET
235.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2188.114.97.3United States
AS13335CLOUDFLARENET
2142.250.184.195United States
AS15169GOOGLE
22a06:98c1:3120::3United StatesUnknown
22a06:98c1:3121::3United StatesUnknown
22a00:1450:4001:82a::200aUnited StatesUnknown
3817--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BAB2DA38A080A63712438DCAB170676BF6DB92EDEE0721D5B3F993D65BC1DE5EE04049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:r8RiM/sMcMOk1RxJ29+fqMX7+PP6VPps0xcGnisSB8/:r8RiM/sMcMOk1RxJ29+CGnisO8/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25447:8IkoGkpeEARBABMRRg1IARKCpAgAKOxQCEEBCCgiAgM0BjRCE6RC8kwCLlREKBk9BwBJWgjMZ/FiUTgwvQBIgABmYAwamEMs

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:f9000000ffffffff
Perceptual Hash:ca4ab5b5a4d29595
Difference Hash:8361696161ea9484
Wavelet Hash:60000000fdfffeff
Color Hash:#74ac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data