Security Scan Report: pi22eka.sbs

Redirected to: https://pi22eka.sbs/

Submitted: Mar 21, 2026, 10:31:30 AMCompleted: Mar 21, 2026, 10:32:52 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is pi22eka.sbs and was registered NaN years ago.

Submitted URL: http://pi22eka.sbs/

Effective URL: https://pi22eka.sbs/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 94%

10
Risk Score

Impersonates Telegram login page on a brand‑new unranked domain – confirmed scam.

Risk Factors
Brand impersonation (Telegram branding on non‑Telegram domain)
Domain age 2 days (critical new domain)
Domain not in Cisco Umbrella top 1 M (unranked)
High JavaScript obfuscation score (critical, suggests hidden malicious code)
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(39%)

Domain Information

The domain 'pi22eka.sbs' uses the .sbs top-level domain and has no subdomain. The core label 'pi22eka' covers 7 characters with three vowels and 2 consonants, plus two digits. Segmentation suggests 3 words: pi, 22, eka. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://pi22eka.sbs/

Page Load Overview

2.04s
Total Load Time
27
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
14149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
13188.114.96.3United States
AS13335Cloudflare, Inc.
272--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19DF12F62F764E83A2357027C35D1F10E87E2A447D391AA50B9E972E60F8FDA780E7315

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujtSoUZZUG70t13OQYKGOX5qc75ZhE58h:KtSGsk3OQpGOX5RHd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7808:WRCyIRAsHCQAFKhlEUWHAIIiyiQxrCQU8pEygA5wJEAFoiBEBIGRBYAA4GAEQTEzPADsDoh0oqIgZAEgUDxOACjQyiqKDqEE

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:3f272727243c3030
Color Hash:#c5878f

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data