6 matches found
CVE-2026-48168
PraisonAI is a multi-agent teams system. In versions prior to 4.6.40, the bundled Claude GitHub Actions workflow is vulnerable to command injection because it embeds an attacker-controlled pull request branch name into a Bash run: block without quoting or validation. Additionally, the workflow...
CVE-2026-47398
PraisonAI is a multi-agent teams system. The v4.6.32 chokepoint refactor which patched CVE-2026-44334 / GHSA-xcmw-grxf-wjhj added the PRAISONAIALLOWLOCALTOOLS env-var gate to the tooloverride.py sinks. However, two additional spec.loader.execmodule call sites in praisonai/agentsgenerator.py were...
CVE-2026-47397 PraisonAI has an Arbitrary File Write in Python API
PraisonAI is a multi-agent teams system. Prior to version 4.6.40, hidden metadata in a webpage causes PraisonAI agents to write attacker-controlled content to arbitrary paths. writefile skips path validation when workspace=None always None in production. Version 4.6.40 fixes the issue...
CVE-2026-47397 PraisonAI has an Arbitrary File Write in Python API
PraisonAI is a multi-agent teams system. Prior to version 4.6.40, hidden metadata in a webpage causes PraisonAI agents to write attacker-controlled content to arbitrary paths. writefile skips path validation when workspace=None always None in production. Version 4.6.40 fixes the issue...
CVE-2026-47396 PraisonAI call server exposes unauthenticated agent listing, invocation, and deletion when CALL_SERVER_TOKEN is unset
PraisonAI is a multi-agent teams system. Prior to version 4.6.40, PraisonAI's call server exposes a network-facing agent control API without authentication when CALLSERVERTOKEN is not configured. The affected component is the praisonai.api.agentinvoke router as mounted by praisonai.api.call. The...
Missing Authentication for Critical Function
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...