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Security Scan Report: indiancreekvillagepdfl.gov

Redirected to: https://indiancreekvillagepdfl.gov/lander

Submitted: Oct 6, 2025, 12:32:21 PMCompleted: Oct 6, 2025, 12:33:50 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 4 domains to perform 8 HTTP transactions. The main domain is indiancreekvillagepdfl.gov and was registered NaN years ago.

Submitted URL: https://indiancreekvillagepdfl.gov/

Effective URL: https://indiancreekvillagepdfl.gov/landerRedirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Site appears legitimate with minimal risk.

Safety Factors
Long domain age reduces suspicion
Absence of forms or data collection fields
Absence of malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

Domain 'indiancreekvillagepdfl.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Count 22 characters in 'indiancreekvillagepdfl' containing 8 vowels alongside 14 consonants. Tokenizing the label suggests five words: indian, creek, village, pdf, l. Expect 5 characters per word on average. 'indian' most often appears in Catalan. You will also see it in Chinese (Zhuyin) and Vietnamese contexts.

Screenshot

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

Page Load Overview

26.74s
Total Load Time
8
HTTP Requests
4
Domains
231 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
0
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
813.126.96.28Mumbai, Maharashtra, India
AS16509AMAZON-02
03.33.130.190United States
AS16509AMAZON-02
015.197.148.33United States
AS16509AMAZON-02
0142.250.185.164United States
AS15169GOOGLE
023.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02a00:1450:4001:812::2004UnknownUnknown
0172.217.16.196UnknownUnknown
023.207.210.148UnknownUnknown
03.109.168.247UnknownUnknown
89--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136F0C0D3DC61C51D0B60C2D9F832F72C8006E52DDDA1E840B491006744E8AE74C6A854

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:n0VA2ZARUbAiSTsSQQ9WSPD3Lq9NVe2KPD3LqWTW:n0VA8oTs49WSKVpKSWC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:539:AAAAAAAAAEAACAEAAAAAAAIAABAAAAAAAAAAAAAAAAAAAAAAAAAACAAAAAAQAABAAAAABACAAAAAAAAAAACAABACAAAAAAAA

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#b5e06c

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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