Security Scan Report: onboard-dev.tamg.io

Submitted: Mar 18, 2026, 3:24:24 AMCompleted: Mar 18, 2026, 3:25:42 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is onboard-dev.tamg.io and was registered NaN years ago.

Submitted URL: https://onboard-dev.tamg.io

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

onboard-dev.tamg.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(47%)

Domain Information

Domain 'onboard-dev.tamg.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'onboard-dev'. The core label 'tamg' covers 4 characters split between 1 vowel and 3 consonants. It segments into 2 words: tam, g. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://onboard-dev.tamg.io

Page Load Overview

0.57s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:228 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain47% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
47%
technology software
42%
government public service
40%
documentation technical
36%
news media journalism
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1172.172.255.228Washington, Virginia, United States
AS8075Microsoft Corporation
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B048F77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszZ2bMy8Oldo:UhoC9JSqzzbs6o3Sj3gcrsF2eAq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184621:hQD4I7nAwRxgsXAEQDgwKjIIpwiGJQziKSDBQJ6xRUgEQQkhewQCRXRQEgAAawLmpASYlKzBREJB0ARTgct5xHLhCGBSIUBk

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:ffc7c7c3f3ffffff
Perceptual Hash:b0319bcecc4d3333
Difference Hash:001c1c1606000000
Wavelet Hash:3f1f0303030f0f0f
Color Hash:#d2c979

Other Hashes

Crop Resistant:001c1c1606000000

Scan History

Scan history not available

Unable to load historical scan data