ScanMalware.com

Security Scan Report: www.mrrjva.gov

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/3b0c14c9-7a17-44af-b52b-612f6ccc7ed7Domain and IP registration (RDAP)/api/v1/rdap/3b0c14c9-7a17-44af-b52b-612f6ccc7ed7How often this domain was scanned/api/v1/domain/stats/mrrjva.govScan history for this domain/api/v1/domain/history/mrrjva.gov?limit=15
This website contacted 41 IPs in 2 countries across 11 domains to perform 152 HTTP transactions. The main domain is mrrjva.gov and was registered 5 years ago.

Submitted URL: https://www.mrrjva.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no security concerns.

Safety Factors (4)
Well‑established domain age
Government .gov TLD
No malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Middle River Regional Jail

Scan Type

public

Domain Name Analysis

Within the United States government-restricted top-level domain (.gov), 'www.mrrjva.gov' is registered; it also runs on subdomain 'www'. Count 6 characters in 'mrrjva' with one vowel and 5 consonants. Breaking it apart gives 3 words: mr, rj, va. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

> MIDDLE RIVER REGIONAL JAIL Staunton ] Waynesboro | Harrisonburg | Augusta County | Rockingham County “Potential Scam Warning - click for more information** River, Regional Jail (MRR) was built t...

Page Load Overview

4.27s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,597 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
government public service
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3234.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
334.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
365.8.131.77United States
AS16509AMAZON-02
334.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
352.54.175.76Ashburn, Virginia, United States
AS14618AMAZON-AES
365.8.131.76United States
AS16509AMAZON-02
3151.101.2.217San Francisco, California, United States
AS54113FASTLY
365.8.131.55United States
AS16509AMAZON-02
3151.101.194.217San Francisco, California, United States
AS54113FASTLY
346.224.104.82Germany
AS24940Hetzner Online GmbH
15241--

Detected Technologies7

MetaGenerator
100%
Wix
85%
React
50%
Google Cloud
50%
HTTP/3
40%
HSTS
40%
Google Cloud CDN
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BAF47D6062082C3D4F9B31ED7656BE0C30A45416DD814A2FF9FC9A6C29E7EE412D772B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+E6k51V9y8hOkAiAm2LMDAx3wQyv+BQQw4ChcEgxQO6yYcO2wIO/0IF/:z6M1Py84LRxRllTo/0IF/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:793302:BloiahMSDJCEiEGHgTFkB2IkYVA/jkikEUhhkABsdogIGIBVBEBAkYtOCsbAgCIkmr5MAQC4IA4xTNQrJgggCRECDmI7wFRF

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:ffffe0e0e084eeee
Perceptual Hash:f3ec909cec926c70
Difference Hash:2c0d4d48090ccc4c
Wavelet Hash:fff7e0a080844ee6
Color Hash:N/A

Other Hashes

Crop Resistant:2c0d4d48090ccc4c,498c92905784b039,72a2aaaaaaaaaa43,4d4c4808084ccc4c,7a72729a2a13cad3

Scan History

Scan history not available

Unable to load historical scan data