Four years ago the Clark School of engineering at the University of Maryland published a study quantifying that there is some kind of hacker attack happening every 39 seconds (on average). Which is unreal!! Source: University of Maryland A cyberattack can harm millions of people. Let’s take for example the Atlanta ransomware attack that used the infamous SamSam ransomware. The attackers asked for a ransom of $51,000.
On March 29th, the cyberkendra security blog posted a sensational post about a Log4Shell-equivalent zero-day vulnerability in Spring Framework, but without any solid details about the vulnerability itself.
The JFrog Security research team continuously monitors popular open source software (OSS) repositories with our automated tooling to avert potential software supply chain security threats, and reports any vulnerabilities or malicious packages discovered to repository maintainers and the wider community. Two days ago, several of our automated analyzers started alerting on a set of packages in the npm Registry.
Security operation teams continuously aim to focus on two main things: 1. Real cyber security threats (also known as “True Positive Alerts”), and 2. Reducing response time, especially when you have so many different sources to monitor. However, in reality, we deal with hundreds of security alerts on a daily basis, many of which are false positives that waste our valuable time. This is where incident response/security automation becomes a requirement rather than nice to have.
A few days ago it was reported that the new Apache version 2.4.53 contains fixes for several bugs which exposed the users of the well known HTTP server to attacks: CVE-2022-22719 relates to a bug in the mod_lua modules which may lead to Denial of Service after reading from a random memory Area, CVE-2022-22720 exposes the server to HTTP Smuggling attacks, CVE-2022-22721 exposes the server to a buffer overflow when handling large XML input, and CVE-2022-23943 is a vulnerability in the mod_sed module, whi
The JFrog Security research team constantly monitors open-source projects to find new vulnerabilities or malicious packages and share them with the wider community to help improve their overall security posture. As part of this effort, the team recently discovered seven new security vulnerabilities in ClickHouse, a widely used open-source Database Management System (DBMS) dedicated to online analytical processing (OLAP).
Not long ago, developers built applications with little awareness about security and compliance. Checking for vulnerabilities, misconfigurations and policy violations wasn’t their job. After creating a fully-functional application, they’d throw it over the proverbial fence, and a security team would evaluate it at some point – or maybe never. Those days are gone – due to three main shifts.
A few days ago, security researcher Max Kellermann published a vulnerability named DirtyPipe which was designated as CVE-2022-0847. This vulnerability affects the Linux kernel and if exploited, can allow a local attacker to gain root privileges. The vulnerability gained extensive media follow-up, since it affects all Linux-based systems with a 5.8 or later kernel, without any particular exploitation prerequisites.
JFrog’s Security Research team is constantly looking for new and previously unknown security vulnerabilities in popular open-source projects to help improve their security posture. As part of this effort, we recently discovered 5 security vulnerabilities in PJSIP, a widely used open-source multimedia communication library developed by Teluu. By triggering these newly discovered vulnerabilities, an attacker can cause arbitrary code execution in the application that uses the PJSIP library.
In cloud native computing (Kubernetes in our case), there is a requirement to automatically scale the compute resources used for performing a task. The autoscaling cloud computer strategy allows to dynamically adjust the active number of application servers and allocated resources instead of responding manually in real-time to traffic surges that necessitate more resources and instances.
