Security Scan Report: cerrogordo.gov

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Submitted: Dec 16, 2025, 3:18:04 AMCompleted: Dec 16, 2025, 3:18:57 AMpubliccompleted
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Summary

This website contacted 57 IPs in 2 countries across 14 domains to perform 73 HTTP transactions. The main domain is cerrogordo.gov and was registered NaN years ago.

Submitted URL: https://cerrogordo.gov/

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Site mimics Google branding on a .gov domain, flagged as high‑risk phishing.

Risk Factors
Brand impersonation on an unrelated domain
Unranked domain with low Cisco Umbrella reputation
Mismatch between displayed brand (Google) and domain (.gov)
Domain age information unavailable

Details

Page Title

Cerro Gordo County, Iowa - County Government and Services

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(50%)

Domain Information

You're looking at domain 'cerrogordo.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'cerrogordo' is 10 characters long split between four vowels and 6 consonants. It segments into two words: cerro, gordo. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

7.98s
Total Load Time
73
HTTP Requests
14
Domains
913 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:6,151 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
50%
government
48%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1735.168.160.255Ashburn, Virginia, United States
AS14618AMAZON-AES
1142.250.185.227United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
13.125.58.240Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1104.18.40.68United States
AS13335CLOUDFLARENET
1142.250.185.174United States
AS15169GOOGLE
1142.250.185.170United States
AS15169GOOGLE
1216.58.206.74United States
AS15169GOOGLE
118.244.18.75United States
AS16509AMAZON-02
118.244.18.111United States
AS16509AMAZON-02
7357--

Detected Technologies3

JQueryv3.5.1
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C84EB0070900017E8AA0CFF2496BFA86935D7025A515876B136CE927EB6F5EB15FBF3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:I259cPPR9cqn12KU+l3+isWYr4oqMO5pw0+adMK2nzlYnvOmUtSnxrgOn4O9RBfs:IN3R9cq6ibuadN2nfA1gOnr9k3/7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:390397:gLE6gAS4jVASoYUZ2hhgEQI17ENJQIEegAQFUaQAFSxCijBGQCcCKKAMQCM1QEBwpfxyc4CQZUECRBAZeRrhbAArQbQx0SIE

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:ff00000000ffffff
Perceptual Hash:a011ddcf27a7bc60
Difference Hash:e2b095cfc5530827
Wavelet Hash:ff00000000ffffff
Color Hash:#8f79d2

Other Hashes

Scan History

Scan history not available

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