Gbenga Idowu

In Complete Oneness with God | IT Security Analyst | Cybersecurity

[Gbenga Idowu @gift_moren]

@elijah_ayanfe1 Cavani

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@AlexaBliz_ A total of 35 people

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@chiamakaafc Angel Di Maria

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@ThatJuDaH Alright Chief, but for a salary of #500k, how many stocks do you advice for one to have?

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@seyirnotlari 21 kg

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@UTDMael Diego Forlan

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@UTDMael Iniesta

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@theisaacola Thanks for this, Sir Isaac. What's your take on UBA and TIP stocks? I currently have five stocks in my portfolio: ARADEL, UBA, TIP, MTN, GTCO. For now, I earn 500K+ in salary, and I was thinking of selling my UBA shares and adding the proceeds to TIP.

[Gbenga Idowu @gift_moren]

@ThatJuDaH Thanks. God bless you.

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@ngx_wolf Good Afternoon @ngx_wolf, I currently have these on my portfolio:
MTN
GTCO
ARADEL
TIP
UBA, but I need my portfolio to only have just four, my mains are MTN, GTCO and ARADEL. Between UBA and TIP which should I sell to add to the other in order to make it a total of 4 stocks?

[Gbenga Idowu @gift_moren]

@cyber_razz Vulnerability

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@ngx_wolf What are your thoughts about UBA?

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@m_nnoma @cowrywise Thanks 🙏🏽

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@heygurisingh CLAUDE

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@cowrywise @cowrywise is this percentage (35%,25%,5%,5%) split done across the 100K or the 500k salary?

For more clarity, thanks

[Group-IB Global @GroupIB]

🚨 Chinese-language cybercrime ecosystems on #darkweb forums and #Telegram are advertising large volumes of data purportedly stolen from organizations worldwide, particularly financial institutions across the Gulf. Group-IB's analysis tells a different story.

After collecting over 17,000 messages across three Telegram-based sources (as part of a five-source study) and validating sample datasets record by record, our researchers found no evidence of actual breaches. What is being sold is leads data: records compiled from prior leaks, stitched together with machine-translated field names, and marketed as fresh intelligence on targeted organizations.

The pattern is consistent. Names and phone numbers traced back to the 2021 Facebook leak. Password hashes sourced from the 2020 Eatigo breach, matched to different individuals entirely. Arabic database headers that are machine-translated to the point of incoherence. The data does not belong to the organizations being named.

Key findings from this research: Five prominent sources identified across dark web marketplaces (Exchange Market, Chang'An Sleepless Night), and Telegram (#Aiqianjin, #Yiqun Data, Phoenix Overseas Resources), operating exclusively in Chinese-language environments and posting up to 1,000 messages per month. Upstream sources for phone numbers dominated by the 2021 Facebook dataset across all examples analyzed. Recurring message structures, keywords, and posting behaviors that serve as reliable markers for identifying similar claims. The primary impact on organizations is not data exposure but wasted analytical resources chasing illegitimate claims while real threats go uninvestigated.

The full research, including sample validation walkthroughs, upstream source mapping, and identification guidance, is available now on the Group-IB blog: https://t.co/W2n8XaoB8q

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@cyber_razz Dots

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@emeraald D.

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@cybergirl_io A. Shoulder Surfing