Security Scan Report: data.brla.gov

Redirected to:
https://data.brla.gov/Public-Safety/Baton-Rouge-Fire-Incidents/dakq-4s...
Submitted: Completed: publiccompleted
This website contacted 15 IPs in 1 country across 6 domains to perform 39 HTTP transactions. The main domain is brla.gov and was registered 12 years ago.

Submitted URL: https://data.brla.gov/Public-Safety/Baton-Rouge-Fire-Incidents/dakq-4sda

Effective URL:
https://data.brla.gov/Public-Safety/Baton-Rouge-Fire-Incidents/dakq-4s...
Redirected

The Cisco Umbrella rank of the primary domain is #604,094 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official City of Baton Rouge open-data portal page (data.brla.gov, 11-year-old domain) for fire incident data. No forms collecting credentials or payment, no impersonation, no threat-intel, hunting rule or IDS hits. Safe.

Safety Factors (5)
Well-established 11-year-old government domain (brla.gov)
Self-branding consistent with the domain; no impersonation of another entity
No credential or payment forms; email field only feeds an on-site 'message the dataset owner' contact form
Content matches a municipal open-data portal (government public service classification, 78% confidence)
Clean threat-intelligence, hunting rule and IDS results
Domain age information unavailable

Details

Page Title

Baton Rouge Fire Incidents | Open Data BR

Scan Type

public

Domain Name Analysis

Domain 'data.brla.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'data'. Count 4 characters in 'brla' containing one vowel alongside three consonants. Segmentation suggests 2 words: br, la. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Search Home BrowseData Tutorials Applications Developers About BRLA.gov Transparency Citizen Data Academy FAQ Baton Rouge Fire Incidents About Data Related Content Baton Rouge Fire Incidents Pub...

Page Load Overview

15.96s
Total Load Time
14.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,822 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service78% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
78%
government
48%
corporate
35%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1152.206.140.199Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
265.8.131.21Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
23.174.46.73Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
232.195.161.10Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
265.8.131.43Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
265.8.131.86Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
265.8.131.47Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.20.97Google · CDNUnited States
AS15169Google LLC
3915--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136363BA59E057C32EF69151978CEA6E6122DE7473A2004F5D84CE2C007DABDE36E0B7D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:KzWlkd8KKYsqyDcWlkd8KKYsqyDNwt0NN4AWgbmen0NN6AWggmu+Isp6V:KzEVKKYZEVKKYaww

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4992349:LOjcEzgpoEEaBBUEklvkGCCJCYVowExIgCIVAGABIaAQEpmIClwiIBCAKPAtyICjEUTQIYCQ1B3YsSdaERCDJRAKACS3yLJE

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:0000ffffffd3f3ff
Perceptual Hash:ec12126d92edfc92
Difference Hash:45c0203638373628
Wavelet Hash:00005effdf81c39f
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data