Security Scan Report: m3keso.sbs

Submitted: Mar 27, 2026, 2:00:56 AMCompleted: Mar 27, 2026, 2:02:24 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 16 HTTP transactions. The main domain is m3keso.sbs and was registered NaN years ago.

Submitted URL: https://m3keso.sbs/

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Fake Telegram login page on a brand‑new, unranked domain – high‑risk phishing.

Risk Factors
Brand impersonation on a brand‑new, unranked domain
Domain age less than 7 days (critical risk)
Domain‑brand mismatch (Telegram vs. m3keso.sbs)
Use of QR‑code login flow to harvest credentials
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(39%)

Domain Information

Domain 'm3keso.sbs' uses the .sbs top-level domain while skipping any subdomain. Count 6 characters in 'm3keso' with 2 vowels and three consonants; bonus characters include one digit. Breaking it apart gives 4 words: m, 3, ke, so. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://m3keso.sbs/

Page Load Overview

3.75s
Total Load Time
26
HTTP Requests
3
Domains
33 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:244 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network39% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
39%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13188.114.96.3United States
AS13335Cloudflare, Inc.
13149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
262--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15AF13062F764E83A2357027835D1F10D87E2A447D781AA50B9B972E60F8FDA780E7219

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujtSoUZZUG70t13OQYQKSZ5qc75ZhE58h:KtSGsk3OQ1KSZ5RHd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7804:OByyYxUcDDIJFLsoEEWDIMIS2iQxLqQQkBEygAhgLASJsqJABAORBYRA4HAkABETPETIDoDUoCooRAEzMBynECj2WCiKRmEE

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:ffffe7e7e7ffffff
Perceptual Hash:b323cccc3333cccc
Difference Hash:00000c0c08000000
Wavelet Hash:ffe7e7e720300000
Color Hash:#9dac53

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data