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Security Scan Report: softline.sbs

Submitted: Apr 25, 2026, 11:30:57 AMCompleted: Apr 25, 2026, 11:32:18 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is softline.sbs and was registered NaN years ago.

Submitted URL: https://softline.sbs/inicial/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Site shows low risk overall but a critical IDS alert suggests possible malicious activity; avoid interacting with it.

Risk Factors
Critical IDS alert indicating possible malware or data exfiltration
Unranked domain in Cisco Umbrella reputation list
No brand verification despite generic meta description
Safety Factors
Domain age >1 year (established)
No credential or payment collection forms
No Indicators of Compromise matched in threat intel
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(53%)

Domain Information

Domain 'softline.sbs' uses the .sbs top-level domain without a subdomain. The second-level label 'softline' is 8 characters long containing three vowels alongside 5 consonants. Breaking it apart gives two words: soft, line. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://softline.sbs/inicial/

Page Load Overview

2.89s
Total Load Time
5
HTTP Requests
3
Domains
25 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:354 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software53% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.233.221.214Chicago, Illinois, United States
AS63949Akamai Connected Cloud
2172.234.216.100Chicago, Illinois, United States
AS63949Akamai Connected Cloud
52--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180A022FEE080300CEE3033C800E033E82CC8C02020CC3A303F0030F0A8C8A2ACA82082

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qLJhquHbszROTkMT3kcvXbZ6iF4:q9hqIY9Ok5CX965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c4e3b118f51fb850fb544462f295c176

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#8ed279

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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