On March 21st, 2025, the Next.js maintainers announced a new authorization bypass vulnerability โ CVE-2025-29927. This vulnerability can be easily exploited to achieve authorization bypass. In some cases โ exploitation of the vulnerability can also lead to cache poisoning and denial of service. Which versions of Next.js are affected? Next.js 15.x โ from version 15.0.0 โฆ
Update: This issue was discovered and disclosed independently to Keras by JFrogโs research team and Peng Zhou. Machine learning frameworks often rely on serialization and deserialization mechanisms to store and load models. However, improper code isolation and executable components in the models can lead to severe security risks. The structure of the Keras v3 ML Model โฆ
ML operations, data scientists, and developers currently face critical security challenges on multiple fronts. First, staying up to date with evolving attack techniques requires constant vigilance and security know-how, which can only be achieved by a dedicated security team. Second, existing ML model scanning engines suffer from a staggering rate of false positives. When a โฆ
In our previous round-up of security research for 2023, we mentioned our surprise at the large volume of 29,000 vulnerabilities that were reported two years ago. But that didnโt prepare us for the astounding 40% increase, reported by Cyber Press, resulting in over 40,000 CVEs that were published over the past year in 2024. That โฆ
On July 24th 2024, Curl maintainers announced a new stack buffer Use After Free (UAF) vulnerability โ CVE-2024-6197. This type of vulnerability is very uncommon since UAF issues usually occur on the heap and not on the stack. While the vulnerability can be easily exploited for causing denial of service, in this blog we will โฆ
In our previous blog post in this series we showed how the immaturity of the Machine Learning (ML) field allowed our team to discover and disclose 22 unique software vulnerabilities in ML-related projects, and we analyzed some of these vulnerabilities that allowed attackers to exploit various ML services. In this post, we will again dive โฆ
While researching CVE-2024-38428 in GNUโs Wget, our team found a new 0-day vulnerability. The vulnerability, later assigned CVE-2024-10524, may lead to various types of attacks โ including phishing, SSRF, and MiTM. These attacks can have severe consequences such as resource restriction bypass and sensitive information exposure. Upon discovering this vulnerability, our team responsibly disclosed it โฆ
JFrogโs security research team continuously monitors open-source software registries, proactively identifying and addressing potential malware and vulnerability threats to foster a secure and reliable ecosystem for open-source software development and deployment. In our previous research on MLOps we noted the immaturity of the Machine Learning (ML) field often results in a higher amount of discovered โฆ
Read our full research report on InfoWorld The JFrog Security Research team released the findings of a recent investigation wherein they uncovered thousands of publicly exposed, active API tokens. This was accomplished while the team tested the new Secrets Detection feature in the companyโs JFrog Advanced Security solution, part of JFrog Xray. The team scanned โฆ
The JFrog Security research team continuously monitors popular open source software (OSS) repositories with our automated tooling to detect and avert potential software supply chain security threats. After validating the findings, the team reports any security vulnerabilities or malicious packages discovered to repository maintainers and the wider community. We have previously shared details on our โฆ
