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PREVENT Use Cases: Identifying High Impact Attack Paths

Darktrace

This blog explains the benefits of thinking like an attacker and modelling attack paths in order to understand where you need to invest your defenses.

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More on the PAN-OS CVE-2024-3400

Palo Alto Networks

We performed forensic investigations to identify the root cause of the vulnerability, understand the exploited payload tactics, and determine various options to enable protections in our product. This enabled the attacker to store an empty file with the attacker's chosen filename. How Was It Exploited?

Firewall 127
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Cybersecurity Snapshot: Cyber Pros Say How AI Is Changing Their Work, While the FBI Reports Ransomware Hit Critical Infrastructure Hard in 2023

Tenable

More than 40% of ransomware attacks last year impacted critical infrastructure. Plus, a survey shows how artificial intelligence is impacting cybersecurity jobs. 1 - FBI: Critical infrastructure walloped by ransomware attacks in 2023 The number of U.S. Meanwhile, MITRE updated a database about insider threats.

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New surge in AWS credential compromises tied to Grafana SSRF attacks

Lacework

Over the past several weeks, Lacework has observed a significant uptick in AWS instance credential compromises that were traced to Grafana server-side request forgery (SSRF) attacks. This blog describes this tactic, indicators to look out for in your environment, and how Lacework composite alerts will help you identify potential compromises.

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Unpinnable Actions: How Malicious Code Can Sneak into Your GitHub Actions Workflows

Prisma Clud

In today’s post, we look at action pinning, one of the profound mitigations against supply chain attacks in the GitHub Actions ecosystem. It turns out, though, that action pinning comes with a downside — a pitfall we call "unpinnable actions" that allows attackers to execute code in GitHub Actions workflows.

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CircleCI incident report for January 4, 2023 security incident

CircleCI

We encourage customers who have yet to take action to do so in order to prevent unauthorized access to third-party systems and stores. How do we know this attack vector is closed and it’s safe to build? How do I know if I was impacted? How do we know this attack vector is closed and it’s safe to build?

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Specifically, this post seeks to help AI/ML and data scientists who may not have had previous exposure to security principles gain an understanding of core security and privacy best practices in the context of developing generative AI applications using LLMs. We then discuss how building on a secure foundation is essential for generative AI.