ScanMalware.com

Security Scan Report: fire-team-official-step-maker-rfxizo2stj.edgeone.app

Submitted: Mar 1, 2026, 3:33:07 AMCompleted: Mar 1, 2026, 3:33:48 AMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is fire-team-official-step-maker-rfxizo2stj.edgeone.app and was registered NaN years ago.

Submitted URL: https://fire-team-official-step-maker-rfxizo2stj.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

Low risk; no malicious indicators, only a brand‑new subdomain on a free hosting platform.

Risk Factors
Subdomain on free hosting platform with unknown creation date
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts detected
Page content could not be fetched but no suspicious elements observed
Domain age information unavailable

Details

Page Title

HABIB BOSS PREDICTION

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(57%)

Domain Information

Domain 'fire-team-official-step-maker-rfxizo2stj.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'fire-team-official-step-maker-rfxizo2stj'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Segmentation suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fire-team-official-step-maker-rfxizo2stj.edgeone.app/

Page Load Overview

38.00s
Total Load Time
1
HTTP Requests
0
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:109 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting57% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
57%
adult content
46%
healthcare medical
44%
government public service
35%
news media journalism
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
118.172.112.75United States
AS16509Amazon.com, Inc.
043.152.26.58Singapore
AS139341ACE
0188.114.97.3United States
AS13335Cloudflare, Inc.
03--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0827276799300677547E1B67FE382053339908BE206CE6C7F9C63888F85A94D9A739C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:DbzJYc2HFKFb5FdFFXFzTzm24bFBLDt9uRt3WlSyeW:DbzJYcOFKFNFdFFXFzTzWDt9uv3DY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18290:Eqg8AtDklyqACgjRgxUBAwAASCAAwNHOgkQKliclIIFjOwCtIFCqE+CIFiQRAlMBlYwDAIZCoCV0VASgiT1FAAYQ5jJ7AwYF

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:07070f07071f3f3f
Perceptual Hash:a227999967339999
Difference Hash:fffff7cdeff3efff
Wavelet Hash:03070f070f1f1f3f
Color Hash:#87a8c5

Other Hashes

Crop Resistant:fffff7cdeff3efff

Scan History

Scan history not available

Unable to load historical scan data