Security Scan Report: bot789c.xyz

Submitted: Apr 5, 2026, 8:51:28 PMCompleted: Apr 5, 2026, 8:52:50 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is bot789c.xyz and was registered NaN years ago.

Submitted URL: https://bot789c.xyz/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Site impersonates Telegram on a brand‑new, unranked domain; likely a QR‑code phishing scam.

Risk Factors
Brand impersonation (Telegram) on unrelated domain
Critical domain age (<7 days)
Unranked domain with low reputation
QR‑code login phishing attempt
High JavaScript obfuscation score (potential attempt to hide malicious behavior)
Domain age information unavailable

Details

Page Title

Secure Messenger

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

Domain 'bot789c.xyz' uses the open generic top-level domain (.xyz) with no subdomain. The registrable portion 'bot789c' spans 7 characters with one vowel and three consonants, notching 3 digits. Word splitting yields 3 words: bot, 789, c. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bot789c.xyz/

Page Load Overview

1.43s
Total Load Time
26
HTTP Requests
3
Domains
301 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:235 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1364.29.17.131United States
AS16509Amazon.com, Inc.
13149.154.167.99Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
262--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T185F12E62F764E83A2357027C35D1F10E47E2A447D381AA50B9F972E50F8FDAB80E7225

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujtSoUZZUG70t43OQYaLiK5qc75ZhE58t:KtSGsB3OQ9LiK5RHB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7717:HAWCKREMBgFQPSkgMEWLEJLD2iWxfCCAEDUw4CogJABBsjAoBWGUAYGgYOBFQBkjGECIB4BUMHkKhBEiGAwGgCCSSGiqFiEF

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:0008080c0c000000
Wavelet Hash:fce4e4e4243c3030
Color Hash:#bf5740

Other Hashes

Crop Resistant:0008080c0c000000

Scan History

Scan history not available

Unable to load historical scan data