Security Scan Report: sigmafarms.me

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 9 domains to perform 36 HTTP transactions. The main domain is sigmafarms.me and was registered 9 months ago.

Submitted URL: https://sigmafarms.me

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site hosts a forum with no credential collection, malware, or phishing indicators; classified as legitimate.

Safety Factors (3)
Standard forum functionality with no data collection forms
No external malicious resources loaded
No brand impersonation or phishing indicators
Domain age information unavailable

Details

Page Title

Forum

Scan Type

public

Domain Name Analysis

Domain 'sigmafarms.me' uses the Montenegrin country-code top-level domain (.me). The core label 'sigmafarms' covers 10 characters split between 3 vowels and seven consonants. Splitting it apart reveals two words: sigma, farms. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sigmafarms.me

Page Load Overview

2.32s
Total Load Time
594 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:2,138 chars
Detector Agreement:67%

Website Classification

Primary Category

entertainment media92% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
92%
adult content
88%
forum community discussion
57%
social media network
48%
corporate
25%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
9192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
9192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
9192.0.78.142San Francisco, California, United States
AS2635Automattic, Inc
364--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E393097150BC0C3B2B158782B416771B7599AE37DA8249B5B5FD0A885FCACB6D0B332C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Q6ypFiW1hRM/iW5z8XPgrR8tPjSrqKrcdbgr0bVgfcCAfX8Lr:Qzm5zxcdrgfcCAf8/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90558:8IpyLDsFkICgUxQCETzSAsFBVBlbAAQAJnAAoEivKVGEEGALpQI0XgCTuwBiABAAsCS0PAYagOwURRx0AggJia0IBi5YpQCS

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:838383d9df839f9f
Perceptual Hash:bc451663c9d836b6
Difference Hash:322222323a2b3230
Wavelet Hash:828282dbcf819f9f
Color Hash:#bf406a

Other Hashes

Crop Resistant:322222323a2b3230

Scan History

Scan history not available

Unable to load historical scan data