Security Scan Report: lm.gaia.esosphera.com

Submitted: Jan 17, 2026, 6:37:28 PMCompleted: Jan 17, 2026, 6:38:49 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is lm.gaia.esosphera.com and was registered NaN years ago.

Submitted URL: https://lm.gaia.esosphera.com/v/TtvDd27c19

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain (>10 years old)
No forms or sensitive data collection
No malicious Indicators of Compromise
No phishing or impersonation cues
Domain age information unavailable

Details

Page Title

v

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

phishing/scam

(40%)

Domain Information

You're looking at domain 'lm.gaia.esosphera.com' on the commercial generic top-level domain (.com), featuring subdomain 'lm.gaia'. The registrable portion 'esosphera' spans 9 characters with four vowels and 5 consonants. Breaking it apart gives four words: eso, sp, her, a. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lm.gaia.esosphera.com/v/TtvDd27c19

Page Load Overview

2.84s
Total Load Time
13
HTTP Requests
4
Domains
9 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:1 chars
Detector Agreement:0%

Website Classification

Primary Category

phishing/scam40% confidence
Type: static
Method: structural

All Detected Categories

phishing/scam
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
435.158.24.237Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
315.160.41.227Milan, Lombardy, Italy
AS16509AMAZON-02
352.58.56.15Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
33.167.227.62Unknown
134--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19361671F78B71564A562319D2BA7B22878259013B684CC503D8C8670AF79F8BC49AFCD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:VklNkz06crC/kwopaTEpnpCaDAT0gm1umiLoZEZIWKQMBixjWskCiZeZe:mMirgPEBNwZLommWKQFhWskCrZe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3316:AAAEACQIBgEJAhAMqQAAJA6BAkFBQgAAAgAEASAAAAC4AIAgBEAICAAAJAAAQcAIoQBCAAQihhEAKABIAAQANAQACAIBAQkM

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:00ff7fffffffffff
Perceptual Hash:83033e7e7e3e0a0b
Difference Hash:7dc0c1cc00000000
Wavelet Hash:003e3e667e7e7e00
Color Hash:#4e931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data