Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A phishing campaign is targeting GitHub users with phony CAPTCHA pages, according to researchers at McAfee. The phishing emails ask users to address a security vulnerability in a GitHub repository that they recently contributed to, and contain a link to find more information about the alleged vulnerability. This link leads to a fake CAPTCHA page that attempts to trick them into installing malware.

John Lennon popularized the phrase, “Life is what happens when you’re making other plans.” And that’s an apt characterization for how we think about threat intelligence. We tend to focus on it to block or alert-on an attack. Meanwhile life is what’s happening to our threat intel while we’re making these plans. When we don’t pay attention to the threat intelligence lifecycle, we can run into trouble.

Organizations often find themselves caught in a perpetual cycle of identifying, prioritizing, and mitigating vulnerabilities that pose the most risk. Amid this ongoing battle, a significant challenge is often overlooked: security debt. Much like technical debt, security debt refers to the accumulation of unresolved vulnerabilities within an organization’s systems and software.

When discussing the consequences of a data breach for organizations, we usually consider three types of damage: financial, legal, and, somewhat more tenuously, reputational. But what about stock prices? One would assume that stock price—an indicator of a business’s overall health and investor confidence—would plummet after a breach, but is this really the case?

A new ransomware operation has started to leak information it claims has been stolen from organisations it has compromised around the world. In recent days Valencia Ransomware has posted on its dark web leak site's so-called "Wall of shame" links to gigabytes of downloadable information that has seemingly been exfiltrated from a Californian municipality, a pharmaceutical firm, and a paper manufacturer.

C and C++ remain foundational in critical software development. These languages power a wide array of systems, from embedded devices to high-performance applications in manufacturing, operational technology (OT), and the industrial market. Their efficiency, control over system resources, and performance make them indispensable for developers working on mission-critical projects.

The Zenity Labs team has discovered that non-administrator users can modify existing flows that were connected to Einstein by an administrator, influencing Einstein without having the necessary permissions to edit it directly. In doing so, bad actors can easily insert malicious actions into flows that are triggered by business users throughout the enterprise, including phishing attacks, data exfiltration, and more.

On-demand cyber risk quantification (CRQ) models have the power to assess an organization’s unique risk profile and, subsequently, generate data-driven insights that facilitate informed risk management decisions. The basis of these insights is grounded on a probabilistic approach to event forecasting, which involves simulating thousands of potential cyber scenarios a business may experience over a given period, typically the upcoming year.

In today’s interconnected world, where the digital landscape is constantly evolving, the threats to an organization’s cybersecurity posture are more sophisticated and pervasive than ever before. Relying on traditional, largely prevention-focused cybersecurity tools and approaches is not enough. Cyber attacks are inevitable.

Every step you take, every move you make, some company will be watching you. While user activity monitoring may sound invasive at first, the growing number of insider and external threats makes it compulsory for companies to understand how users interact with their systems. 43% of workers report their employer monitors their online activity, and this percentage rises to 48% for hybrid employees.