Critical ChromaDB RCE Vulnerability Threatens AI Application Security
ChromaDB is an open-source vector database commonly used by generative AI and retrieval-augmented generation systems to store text embeddings and search for semantically similar content. Because it may be connected to models, API keys and internal corporate data, a remote server takeover could allow attackers to steal sensitive information and potentially compromise an AI application’s broader infrastructure.
Cybersecurity firm HiddenLayer disclosed CVE-2026-45829 on May 18, 2026, with a maximum CVSS 4.0 score of 10.0. The vulnerability has been present since version 1.0.0 of ChromaDB’s Python implementation. An unauthenticated attacker can specify a malicious Hugging Face model and enable trust_remote_code to execute code before permission checks occur. Affected users should restrict HTTP API access to trusted clients only or switch to the Rust server.
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The history behind this eventHigh-Risk RCE Flaw CVE-2026-4372 Found in Hugging Face Transformers
Hugging Face's Transformers is an open-source library widely used to download, load and deploy AI models. CVE-2026-4372 affects the way model configuration files are processed. An attacker who tricks a developer into loading a malicious config.json file could remotely execute code on the system, posing a high risk to AI model supply chains and development environments.
Security researchers disclosed in 2026 that a specially crafted config.json file could bypass existing Transformers security controls, affecting multiple previous versions. Hugging Face subsequently released Transformers 5.3.0 to patch the vulnerability. Organizations and developers using the library should upgrade to version 5.3.0 or later and avoid loading models or configuration files from unknown sources.
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