Source URL: https://blog.talosintelligence.com/clearml-and-nvidia-vulns/
Source: Cisco Talos Blog
Title: ClearML and Nvidia vulns
Feedly Summary: Cisco Talos’ Vulnerability Discovery & Research team recently disclosed two vulnerabilities in ClearML and four vulnerabilities in Nvidia. The vulnerabilities mentioned in this blog post have been patched by their respective vendors, all in adherence to Cisco’s third-party vulnerability disclosure policy. For Snort
AI Summary and Description: Yes
Summary: The text discusses recent vulnerabilities identified by Cisco Talos in ClearML and NVIDIA’s nvJPEG2000 library, outlining critical security issues including cross-site scripting (XSS) and memory corruption attacks. This information is particularly relevant for security and compliance professionals who monitor software vulnerabilities in AI and cloud-related technologies.
Detailed Description: The analysis elaborates on significant security vulnerabilities discovered in two prominent software systems, ClearML, an AI development platform, and NVIDIA’s nvJPEG2000 library, which is used for image encoding and decoding.
– **ClearML Vulnerabilities:**
– **CVE-2024-39272 (TALOS-2024-2110)**: A cross-site scripting (XSS) vulnerability allowing attackers to upload HTML files. This can lead to the execution of malicious JavaScript in the browser of authenticated users.
– **CVE-2024-43779 (TALOS-2024-2112)**: An information disclosure vulnerability enabling unauthorized access to sensitive credentials from disabled vaults via crafted HTTP requests.
– **NVIDIA Vulnerabilities:**
– **Memory Corruption and Heap-based Buffer Overflow (CVE-2024-0142 and CVE-2024-0143)**: Malicious JPEG2000 files can exploit these vulnerabilities to conduct out-of-bounds writes, leading to potential memory corruption and arbitrary code execution.
– **Heap-based Buffer Overflow (CVE-2024-0144 and CVE-2024-0145)**: Similar exploitation through crafted JPEG2000 files, allowing attackers control over memory leading to arbitrary code execution.
These vulnerabilities, once discovered, have been patched by the respective vendors per Cisco’s third-party vulnerability disclosure policy. The details provided in this blog post are crucial for:
– **Security Awareness**: Comprehending these vulnerabilities enhances awareness among security professionals regarding potential threats in the AI and image processing domains.
– **Mitigation Strategies**: Security teams should prioritize reviewing and updating their systems in light of these vulnerabilities to avoid exploitation.
– **Compliance**: Organizations leveraging ClearML or NVIDIA’s libraries must ensure their platforms are updated to maintain compliance with security standards.
The information outlined highlights the increasing intersection of security in infrastructure, software, and AI technologies, urging professionals to stay informed on vulnerabilities that can have widespread implications for their systems and data integrity.