Security Scan Report: nmb.gov

Redirected to: https://nmb.gov/NMB_Application/

Submitted: Oct 12, 2025, 12:59:40 PMCompleted: Oct 12, 2025, 1:02:43 PMpubliccompleted
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Summary

This website contacted 25 IPs in 2 countries across 5 domains to perform 33 HTTP transactions. The main domain is nmb.gov and was registered NaN years ago.

Submitted URL: https://nmb.gov/

Effective URL: https://nmb.gov/NMB_Application/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government website with no security concerns.

Safety Factors
Long-established domain age
Government top‑level domain (.gov)
No external links or third‑party resources
No credential or payment collection
Domain age information unavailable

Details

Page Title

nmb.gov

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(85%)

Domain Information

You're looking at domain 'nmb.gov' on the United States government-restricted top-level domain (.gov) without a subdomain. Its registrable label 'nmb' stretches across 3 characters split between zero vowels and 3 consonants. Segmentation suggests two words: n, mb. The median word length lands at 1.5 characters. 'n' is most common in Afrikaans usage. It also appears in Breton and Catalan contexts.

Screenshot

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

Page Load Overview

1.00s
Total Load Time
33
HTTP Requests
5
Domains
1.1 MB
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-US
Text Length:1,571 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
85%
government
48%
phishing scam
31%
corporate business
30%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2534.160.136.49Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
913.32.27.91New York, New York, United States
AS16509AMAZON-02
4142.250.185.104United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
113.32.27.50New York, New York, United States
AS16509AMAZON-02
1172.217.18.14United States
AS15169GOOGLE
1142.250.185.168United States
AS15169GOOGLE
1216.239.34.36United States
AS15169GOOGLE
1216.58.206.78United States
AS15169GOOGLE
12001:4860:4802:34::36United States
AS15169GOOGLE
3325--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9E2B6F36046017A275BB7FA92B1BB08A4B2C10DCF455A1272FC219817DACFA1A5711F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:omoxnIE0zLPr3ZdqZUaAWkWVObggQTXDzMgbeaG/QLYxCS6E:omK0LZdapzVOkPzMg35LeCS6E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31450:QLQKskCAOVAFUQqWPJgSoApAgAFBMBCDSdoxtAEFggQQCDXvYZiumSBAQJYRQDqytZGAIDoZwIF7BGTBgHOECqIVqGkoLUAV

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:ffffd3c1c1c3d3ff
Perceptual Hash:ec939378932c3c87
Difference Hash:ba16b6b3b3b73600
Wavelet Hash:4ffb8381818183ff
Color Hash:#783a4c

Scan History

Scan history not available

Unable to load historical scan data