Security Scan Report: culvercity.gov

Redirected to:
https://www.culvercity.gov/
Submitted: Apr 1, 2026, 1:14:42 PMCompleted: Apr 1, 2026, 1:16:25 PMpubliccompleted
Loading additional data...

Summary

This website contacted 13 IPs in 2 countries across 13 domains to perform 1 HTTP transaction. The main domain is culvercity.gov and was registered NaN years ago.

Submitted URL: https://culvercity.gov

Effective URL: https://www.culvercity.gov/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Home - City of Culver City

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

government

(48%)

Domain Information

The domain 'culvercity.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The core label 'culvercity' covers 10 characters split between three vowels and seven consonants. Breaking it apart gives two words: culver, city. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://culvercity.gov

Page Load Overview

1.31s
Total Load Time
3
HTTP Requests
2
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:129 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
technology software
39%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
352.247.170.120Boydton, Virginia, United States
AS8075Microsoft Corporation
020.250.198.32Germany
013.226.244.98GermanyUnknown
035.190.93.146GermanyUnknown
023.52.180.163GermanyUnknown
0142.251.127.95GermanyUnknown
023.50.131.143GermanyUnknown
034.98.105.146GermanyUnknown
0142.251.14.95GermanyUnknown
0142.251.141.74GermanyUnknown
313--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EFD3E963858591331117FACB7870F7095297908FEFAB0941FDEC1A09AFC6D9A25037AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:s/um/9yqW6Zx/teqYgCKvjygz1VdljfSO3zm1zsTXLjLm:s/uS9RLftcgC03jfvDFXLjq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130357:ckhIgM0RQs+tAgsgAkwg04eGoXAQBA0kRLBkgKMKOgKDSAxKwAVAC2XAytJQDsxwkMLgEQARASSQkAKbeyQcSSMWQIKeQAAL

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:00399900607c7e7e
Perceptual Hash:c33d864762355e6c
Difference Hash:ddf32b99c9e0e8cd
Wavelet Hash:003fd900607e7e7f
Color Hash:#503a78

Scan History

Scan history not available

Unable to load historical scan data