ScanMalware.com

Security Scan Report: en.bulios.com

Submitted: Oct 27, 2025, 11:27:28 PMCompleted: Oct 27, 2025, 11:31:35 PMpubliccompleted
Loading additional data...

Summary

This website contacted 56 IPs in 2 countries across 14 domains to perform 180 HTTP transactions. The main domain is en.bulios.com and was registered NaN years ago.

Submitted URL: https://en.bulios.com/calendar/earnings

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

Legitimate site with standard login; no significant security concerns.

Safety Factors
Well‑established domain (>4 years)
No malicious Indicators of Compromise
No brand impersonation or typosquatting
Standard login functionality expected for a financial data platform
Domain age information unavailable

Details

Page Title

Earnings calendar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'en.bulios.com' uses the commercial generic top-level domain (.com), featuring subdomain 'en'. The registrable portion 'bulios' spans 6 characters holding 3 vowels versus 3 consonants. Word splitting yields two words: bu, lios. Median word length comes out to three characters. 'bu' is most common in Turkish usage. You may catch it in Indonesian and French as well. Overall, 'en.bulios.com' reads as Turkish.

Screenshot

Security scan screenshot of https://en.bulios.com/calendar/earnings

Page Load Overview

9.01s
Total Load Time
180
HTTP Requests
14
Domains
4.1 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:2,293 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
137104.18.27.62United States
AS13335CLOUDFLARENET
2234.102.237.254Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
15157.240.253.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5142.250.181.227United States
AS15169GOOGLE
3157.240.253.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3172.66.0.227United States
AS13335CLOUDFLARENET
3216.58.206.35United States
AS15169GOOGLE
357.144.244.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.186.170United States
AS15169GOOGLE
3104.18.26.62United States
AS13335CLOUDFLARENET
18056--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5F33318425E1D3B417353E1EA817BC5E1EF9E75E32294A2F4BB062253CECE6E4D2172

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:xxbEd5GU1Gx0uhlNQEbbfBMUuKvakQIURS+ituMmc+ymPdQQl2aQZtbA+DXMD:xxbELGU1GxPXLx8JrNRPeQ2ZtrjMD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165518:CVAdBKQAwBFFkCUkClpAdIUMDCSKFLSQIJgBJ2CRHWhtIDgNAgUEyASJeBpYAIOgRQgAAmiIAgqhOwhAAYyToOALHBQ1tOAY

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:ffffc5e9c1fffe00
Perceptual Hash:f4aa55a541d52bd4
Difference Hash:84a52d932b331408
Wavelet Hash:feffc0c1c1ff8000
Color Hash:#4062bf

Other Hashes

Crop Resistant:84a52d932b331408,240c0c0c0406783a

Scan History

Scan history not available

Unable to load historical scan data