Azuris 🔰 @AzurisDraws

I'm big into dragon aesthetics. NSFW • Artist • He/Him • A dragon! • Metalholic • Petrolhead • 🇵🇹 DMs and commissions are open! linktr.ee/azuris Joined January 2018

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Azuris 🔰 @AzurisDraws

4 days ago

@rickwulfk95 It's my dog's name, I just need to get the car now XD

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Azuris 🔰 @AzurisDraws

5 days ago

@REM__BEN AI expert here. Physicists have nothing on AI generated drones.

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Azuris 🔰 @AzurisDraws

6 days ago

@dem0npaws Pretty much summarizes my feelings on this...

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Azuris 🔰 @AzurisDraws

2 weeks ago

@sirspacedragon This belongs in r/liminalspace

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Azuris 🔰 @AzurisDraws

2 weeks ago

@Zounii_design Hehe. It's because accidentally swallowing one of these will cause an electrochemical reaction between the stainless shell and the body causing severe internal burns.

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Annie @Any838522630380

2 weeks ago

One from old winners of my Patreon Polls)

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Azuris 🔰 @AzurisDraws

2 weeks ago

@davepl1968 @ronsterd89 Hardline flaring tool

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Azuris 🔰 @AzurisDraws

2 weeks ago

@hicasamadim 72? 😬

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Azuris 🔰 @AzurisDraws

2 weeks ago

@nelsonmalvess Same strategy 🤝

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Dark Web Intelligence @DailyDarkWeb

2 weeks ago

🇵🇹 A threat actor is advertising an alleged dataset tied to Continente.pt, reportedly containing customer contact records, transaction history, delivery details, and loyalty-program information associated with Portuguese consumers. According to the listing, the exposed data allegedly includes: Approximately 576,000 customer records Tax ID numbers Full names, emails, and phone numbers Street addresses and postal codes Customer segmentation and loyalty-program enrollment data Marketing and notification preferences Registration and login metadata Order history and transaction details Delivery addresses and shipping information Payment status and refund records Customer notes, ratings, and campaign associations Communication-consent and opt-in tracking records The structure of the dataset suggests exposure from a centralized e-commerce CRM and order-management ecosystem integrating customer accounts, marketing automation, delivery logistics, and loyalty analytics. Retail and loyalty datasets remain highly attractive within underground communities because they provide extensive behavioral intelligence beyond simple contact information. Purchase histories, delivery patterns, loyalty status, and consent-tracking metadata can significantly improve the effectiveness of phishing, account takeover attempts, refund fraud, social engineering, and targeted impersonation campaigns. The alleged inclusion of customer feedback, marketing segmentation, and notification-preference data may also provide attackers with deeper profiling capabilities, enabling more personalized and convincing fraud operations against affected individuals. #DDW #Intelligence #DarkWeb #Continente