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Security Scan Report: cityofpetersburgwv.gov

Submitted: Nov 1, 2025, 10:27:02 AMCompleted: Nov 1, 2025, 10:27:41 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 5 domains to perform 29 HTTP transactions. The main domain is cityofpetersburgwv.gov and was registered NaN years ago.

Submitted URL: https://cityofpetersburgwv.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate city government website with no security concerns.

Safety Factors
Official government domain (cityofpetersburgwv.gov)
Established domain age (>3 years)
No credential or payment collection forms
No external links or suspicious content
Domain age information unavailable

Details

Page Title

Official Web Site of City of Petersburg

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(73%)

Domain Information

The domain 'cityofpetersburgwv.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'cityofpetersburgwv' stretches across 18 characters split between five vowels and 13 consonants. Tokenizing the label suggests four words: city, of, petersburg, wv. Median word length comes out to 3 characters. The linguistic tilt is Chinese (Pinyin) for 'city'. Usage also turns up in English and Dutch contexts.

Screenshot

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

Page Load Overview

12.07s
Total Load Time
29
HTTP Requests
5
Domains
1.3 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
Text Length:745 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network73% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
73%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.217.18.3United States
AS15169GOOGLE
275.2.60.5United States
AS16509AMAZON-02
235.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
257.129.2.123Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
2142.250.185.202United States
AS15169GOOGLE
299.83.231.61United States
AS16509AMAZON-02
22a00:1450:4001:81d::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
263.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2216.58.206.42United States
AS15169GOOGLE
22a00:1450:4001:829::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
2914--

Detected Technologies2

Netlify
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D32B572B040A92B510BDEDEB131B399E1DBA0EEED0A10B4F3F543A957C1ED1EE28445

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+6XRP8Rih/dMnq2Rc4b1qe6DqQw+eFpLuFp2RXFpkPFpaxccZYzlSSVuiiJzITc:tRP8Rih/dMnq2Rc4b1qJdneTuUXcPixz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11799:QADgKYQIgyUszwJwFGgIAwM1ImyQSsBWoNRIkmmhywfAAEQRABAMQYQI8qKUrICciMGBKAUAJYAA4LcgUaRKWoQBoCqQFAQE

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:ff003000ffffffff
Perceptual Hash:ca4ab0b5a5cd97d0
Difference Hash:4761616153e895e5
Wavelet Hash:30000000f9ffffff
Color Hash:#4084bf

Other Hashes

Crop Resistant:4761616153e895e5,0d4991100a820244,0581165a9a326244,220f1c3c1616ad6d,ae26261cdbdb132e

Scan History

Scan history not available

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