Security Scan Report: directory.tamg.io

Submitted: Feb 27, 2026, 12:55:08 PMCompleted: Feb 27, 2026, 12:56:29 PMpubliccompleted
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Summary

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

Submitted URL: https://directory.tamg.io

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate, well‑established domain returning a 404 page with no security concerns.

Safety Factors
Well‑established domain (>7 years)
No malicious Indicators of Compromise
No forms or data‑collection fields
No suspicious scripts or network activity
Domain age information unavailable

Details

Page Title

directory.tamg.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(39%)

Domain Information

The domain name 'directory.tamg.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'directory'. Its registrable label 'tamg' stretches across 4 characters containing one vowel alongside 3 consonants. Splitting it apart reveals two words: tam, g. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://directory.tamg.io

Page Load Overview

0.80s
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:220 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain39% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
39%
adult content
29%
documentation technical
29%
government public service
28%
technology software
26%

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

T19C048E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszh2bMy8OldQ:qhoC9JSqzzbs6o3Sj3gcrst2eAq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184603:ApHg4BeBS6KMOKBINVwgRYUhHFjWxAwFAjEBEIOatkGiS6oBDSjyZDACCFJCAggYQxkqYAARikAiQIQjgoJEmWNIlTi4QYgG

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:b1319acecc713333
Difference Hash:001c1c1606000000
Wavelet Hash:3f1f0703030f0f0f
Color Hash:#ac538a

Other Hashes

Crop Resistant:001c1c1606000000

Scan History

Scan history not available

Unable to load historical scan data