Security Scan Report: roccc911.gov

Redirected to: https://www.searchhounds.com/articles/emerging-markets-where-to-invest-in-2025.html?psystem=PW&domain=roccc911.gov&expId=parking_pw_4537_gdads-rsoc

Submitted: Dec 16, 2025, 8:25:53 AMCompleted: Dec 16, 2025, 11:09:56 AMpubliccompleted
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Summary

This website contacted 32 IPs in 0 countries across 13 domains to perform 49 HTTP transactions. The main domain is searchhounds.com and was registered NaN years ago.

Submitted URL: https://roccc911.gov/

Effective URL: https://www.searchhounds.com/articles/emerging-markets-where-to-invest-in-2025.html?psystem=PW&domain=roccc911.gov&expId=parking_pw_4537_gdads-rsocRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Emerging Markets: Where to Invest in 2025 | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'roccc911.gov' uses the United States government-restricted top-level domain (.gov). The core label 'roccc911' covers 8 characters holding one vowel versus four consonants, along with three digits. Breaking it apart gives three words: roc, cc, 911. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://roccc911.gov/

Page Load Overview

4.33s
Total Load Time
49
HTTP Requests
13
Domains
778 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:61,214 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
healthcare medical
46%
travel tourism
37%
real estate property
32%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18142.250.185.106UnknownUnknown
134.236.78.253UnknownUnknown
154.243.81.174UnknownUnknown
118.66.122.78UnknownUnknown
1142.251.141.98UnknownUnknown
115.197.148.33UnknownUnknown
1216.58.206.33UnknownUnknown
1142.250.185.130UnknownUnknown
1142.251.140.174UnknownUnknown
113.32.121.127UnknownUnknown
4932--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4823A39E010293D7277C3ACB9F2FB55913E516AC6660168700E6B6D4BDEFC29432B6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:qwNp9wNjcc8+cmaVRMEDnwwTZHtQamHTB/VvCkCgzLwusWRDkDOK:qS9MjcFZHtQ/zB/VvRLq+K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19077:AoqCYeQ0VoQkACQEKsqIWsJwlBMwUufyTQkYCIEvYioCAEIlADoiYENKU4EAwERKKEAMARCxJAMQgIPFaWQISQIIilUEEaQK

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:ffffffffff000000
Perceptual Hash:bcd50ab9c602eccd
Difference Hash:283c36482233d5e5
Wavelet Hash:ff8fcbff9f000000
Color Hash:#786e3a

Other Hashes

Scan History

Scan history not available

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