Qdrant

Qdrant is a specialized vector database designed for similarity search and AI workloads, presenting a narrowly scoped but architecturally critical product in modern machine-learning infrastructure. Vulnerabilities affecting the vendor skew strongly toward critical severity and recur through pathway-control and input-validation weaknesses including path traversal, buffer overflows, and improper file-handling that are characteristic of systems ingesting untrusted query and data inputs at scale. Defenders should treat this vendor's security advisories as high-priority for any deployment serving AI or embeddings pipelines; live severity and exploitation metrics are shown alongside this summary.