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Artigos de Joe Desimone

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Upping the Ante: Detecting In-Memory Threats with Kernel Call Stacks

We aim to out-innovate adversaries and maintain protections against the cutting edge of attacker tradecraft. With Elastic Security 8.8, we added new kernel call stack based detections which provide us with improved efficacy against in-memory threats.

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Elastic users protected from SUDDENICON’s supply chain attack

Elastic Security Labs is releasing a triage analysis to assist 3CX customers in the initial detection of SUDDENICON, a potential supply-chain compromise affecting 3CX VOIP softphone users.

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Stopping Vulnerable Driver Attacks

This post includes a primer on kernel mode attacks, along with Elastic’s recommendations for securing users from kernel attacks leveraging vulnerable drivers.

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PHOREAL Malware Targets the Southeast Asian Financial Sector

Elastic Security discovered PHOREAL malware, which is targeting Southeast Asia financial organizations, particularly those in the Vietnamese financial sector.

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Operation Bleeding Bear

Elastic Security verifies new destructive malware targeting Ukraine: Operation Bleeding Bear

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Elastic Security uncovers BLISTER malware campaign

Elastic Security has identified active intrusions leveraging the newly identified BLISTER malware loader utilizing valid code-signing certificates to evade detection. We are providing detection guidance for security teams to protect themselves.

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Detecção do Cobalt Strike com assinaturas de memória

A detecção baseada em assinatura — especialmente a varredura na memória — pode ser uma estratégia de detecção valiosa. Neste post do blog, saiba como detectar o Cobalt Strike independentemente da configuração ou dos recursos furtivos habilitados

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Hunting In Memory

Threat Hunters are charged with the difficult task of sifting through vast sources of diverse data to pinpoint adversarial activity at any stage in the attack.

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Hunting For In-Memory .NET Attacks

As a follow up to my DerbyCon presentation, this post will investigate an emerging trend of adversaries using .NET-based in-memory techniques to evade detection