Security Scan Report: onestopapp.nola.gov

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Submitted: Dec 28, 2025, 11:29:41 AMCompleted: Dec 28, 2025, 11:29:57 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 20 HTTP transactions. The main domain is onestopapp.nola.gov and was registered NaN years ago.

Submitted URL: https://onestopapp.nola.gov/

The Cisco Umbrella rank of the primary domain is #388,423 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate and poses no security concerns.

Safety Factors
Long‑standing domain registration
Government domain (.gov) with reputable hosting
Clean threat intelligence profile
Domain age information unavailable

Details

Page Title

City of New Orleans | One-Stop Shop Permitting & Licensing

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

documentation technical

(49%)

Domain Information

The domain name 'onestopapp.nola.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'onestopapp'. Count 4 characters in 'nola' split between 2 vowels and 2 consonants. Segmentation suggests one word: nola. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://onestopapp.nola.gov/

Page Load Overview

4.01s
Total Load Time
20
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:1,315 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
49%
government
48%
government public service
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2072.237.170.80United States
AS62841CITY-OF-NEW-ORLEANS
01--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12372502098F659B7009380E576B5EF0BAE82E60BC60E594073FC5BC15FA3E828D5765D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:OMYRFzmOEEq9FAot8fOc+LKQRrlmHN4P2kYok/DEXRoLkFEQU6lsh:mkFlt8fOc5Q7msXokFEQVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16806:sw1ARAIJeMZiFpkzACOBcIgaDiYQACYwNCEJeSMEC2SwIFQk4FRKwRMEkDmlQFhEfBAHCBaCEFYQgMgMgrSJzSwyZwBGA6AY

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:93e6e3f7e7ffc3c3
Perceptual Hash:e59c2d1c8c4d9c6d
Difference Hash:264c0626062a0a0e
Wavelet Hash:9be6e2d6c2e2c0c3
Color Hash:#2d8dd2

Other Hashes

Crop Resistant:264c0626062a0a0e

Scan History

Scan history not available

Unable to load historical scan data