Duplicate Advisory: PraisonAI has Memory State Leakage and Path Traversal in MultiAgent Context Handling

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-766v-q9x3-g744. This link is maintained to preserve external references. Original Description PraisonAI before 1.5.115 contains a path traversal vulnerability in MultiAgentMonitor that fails to sanitize agent ID...

CVE-2026-56078

PraisonAI before 1.5.115 contains a path traversal vulnerability in MultiAgentMonitor that fails to sanitize agent IDs when building file paths. Attackers can include traversal sequences like ../ in agent IDs to read, write, or overwrite arbitrary files, enabling sensitive disclosure, denial of...

CVE-2026-56078

PraisonAI before 1.5.115 contains a path traversal vulnerability in MultiAgentMonitor that fails to sanitize agent IDs when building file paths. Attackers can include traversal sequences like ../ in agent IDs to read, write, or overwrite arbitrary files, enabling sensitive disclosure, denial of...

CVE-2026-56078 PraisonAI - Arbitrary File Read and Write via Path Traversal in MultiAgentMonitor

PraisonAI before 1.5.115 contains a path traversal vulnerability in MultiAgentMonitor that fails to sanitize agent IDs when building file paths. Attackers can include traversal sequences like ../ in agent IDs to read, write, or overwrite arbitrary files, enabling sensitive disclosure, denial of...

PT-2026-50809

Name of the Vulnerable Software and Affected Versions PraisonAI versions prior to 1.5.115 Description A path traversal issue exists in MultiAgentMonitor due to improper sanitization of agent IDs when constructing file paths. This allows attackers to use traversal sequences, such as ../, within...

Directory Traversal

Overview PraisonAI is a PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent...