Software Composition Analysis (SCA) is the practice of identifying the open source libraries your code depends on. By using SCA, you can analyze these dependencies and determine whether they are affected by any known vulnerabilities, contain malicious code, introduce licensing risk, or are poorly maintained. SCA helps teams understand their software’s dependencies and the security implications of using them so that they can safely build on and innovate with open source code.

When high profile security events happen, it is essential for you and your team to have the information you require right at your fingertips. Using Panoptica’s powerful graph database and easy to use query engine, you are easily able to discover all the assets in all your cloud environments that could have compromised software installed.

On April 15th, Fabian Bäumer and Marcus Brinkmann of Ruhr University Bochum disclosed that PuTTY had a vulnerability that can allow an attacker to compromise private keys, then forge signatures, and log into any remote servers on which those keys are used. PuTTY is a free and open-source terminal emulator, serial console and network file transfer application that supports several network protocols, including SCP, SSH, Telnet, rlogin, serial port and raw socket connections.

The OWASP Top 10 list is the go-to resource to begin understand application security risk for software developers and information security professionals. Most of us don't know we're harboring vulnerabilities in plain sight. During 2020 and 2021, there were an average of 15 vulnerabilities per site, and two out of these fifteen vulnerabilities were of high severity. ‍To protect against vulnerabilities, you first need to be aware of them. That’s where the OWASP Top 10 list comes in handy.

By now, you have probably heard about the recently discovered backdoor into versions 5.6.0 and 5.6.1 of the tarballs of the xz utilities, a popular compression/decompression library for xz files, which provides unauthorized remote access under certain conditions. This vulnerability was reported under CVE-2024-3094. Andres Freund, of Microsoft, who discovered the vulnerability, summarized it well.

When looking for sensitive information and other valuable assets, attackers rarely access their target directly. Instead, they find vulnerabilities in other components and use them to weave through the system and escalate privileges where they can. Because containers add a layer of complexity to already large and complex applications, the attack surface is increased, giving threat actors more to work with.

In late March 2024, the cybersecurity community was shaken by the revelation of a critical vulnerability in XZ Utils, a popular open source compression tool integral to many Linux systems. The discovery was made by Andres Freund, a developer at Microsoft, who reported that versions 5.6.0 and 5.6.1 had a backdoor that could potentially allow unauthorised remote code execution.

The role of a Chief Information Security Officer (CISO) is critical in an interconnected business environment. A modern CISO will ensure that their organization is well-prepared to handle the myriad of cybersecurity challenges it faces. It is multifaceted, extending beyond traditional IT security to encompass various responsibilities to protect an organization's information assets.

Ever lost sleep over possible hidden attack routes lurking in your organization’s attack surface? You’re not alone. The concept of ‘unknown-unknowns’ is a recurring nightmare for many IT professionals – but there are ways to mitigate the risks. We’ll explore the problem of unknown-unknowns and provide some practical strategies to help your organization uncover these hidden threats.

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.