Security Scan Report: telegramsc.sbs

Redirected to: https://telegramsc.sbs/#/

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Submitted: Feb 3, 2026, 10:01:36 AMCompleted: Feb 3, 2026, 10:03:06 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 8 HTTP transactions. The main domain is telegramsc.sbs and was registered NaN years ago.

Submitted URL: http://telegramsc.sbs/

Effective URL: https://telegramsc.sbs/#/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Site impersonates Telegram on a brand‑new unranked domain; treat as confirmed phishing scam.

Risk Factors
Brand impersonation/typosquatting
Critical domain age (<7 days)
Unranked domain with low reputation
Lack of legitimate content
Domain name does not match official brand
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🏳️

US

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'telegramsc.sbs' on the .sbs top-level domain and has no subdomain. The core label 'telegramsc' covers 10 characters split between 3 vowels and 7 consonants. Tokenizing the label suggests two words: telegrams, c. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

7.30s
Total Load Time
10
HTTP Requests
3
Domains
N/A
Total Size

Language Analysis

Primary Language

🏳️US
Code: us
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:us
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:us
Text Length:17 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.159.107.113Singapore
5188.114.97.3United States
AS13335Cloudflare, Inc.
102--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191114C446CE2841B12325B455DE0F818ACA5FB1BD109E950B8F791A80FF9B928C5F964

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:h1l56M8qy7DUZ5qsKWEtNVBGDiKq24f4kSkz4Y7E0Im3wQOT0NVx3UN3UN3g:hp6tqCQZvKWEbVBGfEJ4Y7ExmAMNVxbg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:870:QAAAAAABQAAAAAAAAIIAAAACBAAABAAAAAAAAAAAAAAAAAAAAACIAAgAAAAACAAAAAAAAACAAgAAAAAAAoAAgAAAAAAAAQAA

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:e7ffffffffffffff
Perceptual Hash:e666662633999999
Difference Hash:0808000000000000
Wavelet Hash:071f0f0f0f0f0f0f
Color Hash:#3a7378

Other Hashes

Crop Resistant:0808000000000000

Scan History

Scan history not available

Unable to load historical scan data