Developer.Nvidia RCE Vulnerabilities Discovered in Major AI Inference Frameworks
Article Content
Browse articles
Critical remote code execution (RCE) vulnerabilities have been identified in AI inference frameworks from Meta, Nvidia, Microsoft, and open-source projects like vLLM and SGLang. These flaws arise from unsafe code reuse, with developers copying insecure code patterns across multiple projects, leading to widespread exposure across development pipelines.
Ask AI about this cluster
Answers cite the sources they use
Updated 183d ago How this analysis works
More articles in this cluster (3)
Following this threat?
Track ShadowMQ, Meta and CVE-2024-12366 in your own feed — you're alerted when they show up in new reporting, leak sites or exploitation.
Free account · no card needed
Continue Reading
Critical Cisco FMC Vulnerabilities Under Active Exploitation Cisco's Secure Firewall Management Center (FMC) Software has two critical vulnerabilities, CVE-2026-20079 and CVE-2026-20316, that are currently being exploited by state-sponsored and ransomware actors. CVE-2026-20079, rated 10.0 on the CVSS scale, allows unauthenticated remote attackers to bypass authentication and…
Critical GitLab Vulnerabilities Exploited Within Hours of Disclosure On September 10, 2026, GitLab released patches for critical vulnerabilities CVE-2026-85706 and CVE-2026-87719. CVE-2026-85706, a path traversal flaw, allows unauthenticated users to read arbitrary files from GitLab servers, while CVE-2026-87719 enables credential theft via insecure deserialization. Both…