Generative AI is an exciting technology that is now easily available through cloud APIs provided by companies such as Google and OpenAI. While it’s a powerful tool, the use of generative AI within code opens up additional security considerations that developers must take into account to ensure that their applications remain secure. In this article, we look at the potential security implications of large language models (LLMs), a text-producing form of generative AI.

Security researchers have identified a vulnerability, CVE-2024-27322, in the R programming language that permits arbitrary code execution by deserializing untrusted data. This flaw can be exploited when loading RDS (R Data Serialization) files or packages, which are commonly shared among developers and data scientists. An attacker can craft malicious RDS files or packages containing embedded arbitrary R code, triggering execution on the victim’s device upon interaction.

While Palo Alto Networks has not released patches for all affected versions, CyCognito has conducted active tests across all customer realms and 97.5% of CyCognito customers’ affected devices are no longer exploitable.

The Gartner research paper “What You Need to Do to Protect Your APIs” outlines key requirements for bolstering API security measures. In this blog post, we’ll delve deeper into these requirements as introduced by Gartner, explain their significance, and demonstrate how AppSentinels offers comprehensive solutions for each requirement. As per Gartner, the second step is to assess the security of these APIs.

On April 12th, Palo Alto Networks released a CVE advisory for CVE-2024-3400, a critical vulnerability identified in the GlobalProtect Gateway feature of PAN-OS, the operating system for Palo Alto Networks firewalls. This command injection vulnerability allows unauthenticated attackers to execute arbitrary commands with root privileges on the affected devices.

Recently, a critical vulnerability, CVE-2024-3400, was discovered in the Palo Alto Networks PAN-OS software, posing a substantial risk to affected systems. In this blog post, we will discuss the nature of this vulnerability and how Forward Networks can assist organizations in swiftly identifying and addressing their risk exposure.

On Friday April 12, Palo Alto disclosed that some versions of PAN-OS are not only vulnerable to remote code execution, but that the vulnerability has been actively exploited to install backdoors on Palo Alto firewalls. A patch is expected to be available on April 14th. The advisory from Palo Alto is here. Palo Alto has marked this vulnerability as critical and NVD has scored it a 10.0 with CVSSv3. Wallarm currently detects attacks against this vulnerability with no additional configuration required.

Welcome to the Threat Context Monthly blog series where we provide a comprehensive roundup of the most relevant cybersecurity news, and threat information from KrakenLabs, Outpost24’s cyber threat intelligence team.

On April 12, 2024, Palo Alto Networks published a security advisory detailing an actively exploited maximum severity vulnerability (CVE-2024-3400, CVSS: 10.0) affecting the GlobalProtect feature of PAN-OS. This vulnerability affects PAN-OS 10.2, PAN-OS 11.0, and PAN-OS 11.1 firewalls when configurations for both GlobalProtect gateway and device telemetry are enabled. An unauthenticated remote threat actor can exploit this vulnerability to execute arbitrary code with root privileges on the firewall.