Security Scan Report: app.bloc-tec.com

Site favicon
Submitted: Jan 16, 2026, 9:45:51 AMCompleted: Jan 16, 2026, 9:47:34 AMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is app.bloc-tec.com and was registered NaN years ago.

Submitted URL: https://app.bloc-tec.com

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise matches
Absence of credential or payment collection forms
No external links or redirects
Page content shows only an error message ("Oops!: No username:")
Domain age information unavailable

Details

Page Title

BLOC-TEC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'app.bloc-tec.com' uses the commercial generic top-level domain (.com) with subdomain 'app'. Count 8 characters in 'bloc-tec' containing two vowels alongside 5 consonants; it also includes one hyphen. Breaking it apart gives two words: bloc, tec. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.bloc-tec.com

Page Load Overview

6.44s
Total Load Time
9
HTTP Requests
3
Domains
2.1 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
Text Length:28 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
323.50.131.89Ireland
334.246.70.224Dublin, Leinster, Ireland
AS16509AMAZON-02
323.50.131.91IrelandUnknown
93--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D5120219424343A42B74EE4B0607B1DAA62931EDB461C0035FC53F55FE6FA8E8C752A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TH2pearJITCIWZLqidTtgFQqg3j+qhJGdu546WFXpqohkGq:TH2MarJ/IWZLqi+g3SqhJ5cZpHhk5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2676:AABgAIEEAEAEghQAABEGAACQwAZhAAAAQAEQAAIigAAIYiAAIQEAKIQAAAAAAAAgQAAAMAAAQACAwAAKCQAEGAQoAAAgDAAA

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:0000001818000000
Perceptual Hash:9999666699996666
Difference Hash:00100cb2b20c1000
Wavelet Hash:ccccf8f8d8c0f0f0
Color Hash:#40bfae

Other Hashes

Crop Resistant:00100cb2b20c1000

Scan History

Scan history not available

Unable to load historical scan data