Writing clean and efficient code can be time consuming, but with the right tools, it can be much easier. In this blog post, we will explore how to use Copilot for code autocompletion and JFrog Artifactory for your package management. What is Copilot? GitHub Copilot is an AI-powered code auto completion tool developed by OpenAI …
Are you tired of using security tools that generate endless results, making it impossible to identify actual risks? Do you struggle with inefficient prioritization due to a lack of context, making the process of assessing and remediating vulnerabilities a time-consuming nightmare? Look no further than JFrog’s Contextual Analysis, available as part of the “jf audit” …
The JFrog Security Research team recently discovered a new malware payload in the PyPI repository, written in C#. This is uncommon since PyPI is primarily a repository for Python packages, and its codebase consists mostly of Python code, or natively compiled libraries used by Python programs. This finding raised our concerns about the potential for …
Our previous research on CVE exploitability in the top DockerHub images discovered that 78% of the reported CVEs were actually not exploitable. This time, the JFrog Security Research team used JFrog Xray’s Contextual Analysis feature, automatically analyzing the applicability of reported CVEs, to scan OWASP WebGoat – a deliberately insecure application. The results identified that …
The JFrog Security Research team is constantly looking for new and previously unknown vulnerabilities and security issues in popular open-source projects to help improve their security posture and defend the wider software supply chain. As part of this effort, we recently discovered and disclosed multiple vulnerabilities in popular Rust projects such as Axum, Salvo and …
Last August, the maintainers of the LastPass cloud-based password manager tool reported a security breach in their servers. The disclosure maintained that an unauthorized party gained access to the LastPass development environment through a single compromised developer account. However – while source code and technical information was stolen, no user data was compromised and no …
The JFrog Security Research team continuously monitors popular open-source software (OSS) repositories with our automated tooling, and reports any vulnerabilities or malicious packages discovered to repository maintainers and the wider community. Most PyPI malware today tries to avoid static detection using various techniques: starting from primitive variable mangling to sophisticated code flattening and steganography techniques. …
Research motivations Similarly to our previous research on “Secrets Detection,” during the development and testing of JFrog Xray’s new “Contextual Analysis” feature, we wanted to test our detection in a large-scale real-world use case, both for eliminating bugs and testing the real-world viability of our current solution. However, unlike the surprising results we got in our …
Note: This report was previously published in InfoWorld When developing the recently announced JFrog Advanced Security, our Research team decided to try out its new “Secrets Detection” feature. Our goal was to test our vulnerability detection on as much real world data as possible, to make sure we eliminate false positives and catch any bugs …
How did we get here? On October 25th, The OpenSSL team announced that OpenSSL 3.0.7 will contain a fix for a critical severity vulnerability that affects OpenSSL 3.x. The full details about the vulnerability were held in an embargo until November 1st. Due to the rarity of an OpenSSL critical-severity issue and the overwhelming popularity …
