Security Scan Report: hblg.hb.trustedstack.com

Submitted: Nov 28, 2025, 12:55:21 AMCompleted: Nov 28, 2025, 1:00:01 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is hblg.hb.trustedstack.com and was registered NaN years ago.

Submitted URL: https://hblg.hb.trustedstack.com/

The Cisco Umbrella rank of the primary domain is #1,599 of the top 1 million websitesTop 10K Site

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Error 404 Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

malicious

(69%)

Domain Information

You're looking at domain 'hblg.hb.trustedstack.com' on the commercial generic top-level domain (.com) and includes subdomain 'hblg.hb'. Count 12 characters in 'trustedstack' with three vowels and nine consonants. It segments into two words: trusted, stack. Median word length is 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hblg.hb.trustedstack.com/

Page Load Overview

0.23s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
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:768 chars
Detector Agreement:100%

Website Classification

Primary Category

malicious69% confidence
Type: static
Method: ml+structural

All Detected Categories

malicious
69%
other
66%
suspicious phishing
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.32.238.130Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.32.238.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6E068CD20C100BD1F608666C6C03C8FD1DD8223D1759830880F94A7C8DCAB8C4837DA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxC6QcjWR0iYXlpDMRU7sbRmEdxxr7wbUbfacORk0Dx9juamOQZKeqns55ywwDE:kxC6QclhNM4ARm4xNAUraw0Dpm3ZKeQ4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:0d3d29a5f65eaff8adb3052815452701

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:0f3f3fffffffffff
Perceptual Hash:8301193c7c7c3f1f
Difference Hash:70c0e00080000000
Wavelet Hash:003030f0f0f0f0f0
Color Hash:#2d8686

Other Hashes

Crop Resistant:70c0e00080000000

Scan History

Scan history not available

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