CVE-2026-44336CRITICAL 9.6EPSS p38.3%

CVE-2026-44336CVE-2026-44336

Description

PraisonAI is a multi-agent teams system. Prior to version 4.6.34, PraisonAI's MCP (Model Context Protocol) server (praisonai mcp serve) registers four file-handling tools by default — praisonai.rules.create, praisonai.rules.show, praisonai.rules.delete, and praisonai.workflow.show. Each accepts a path or filename string from MCP tools/call arguments and joins it onto ~/.praison/rules/ (or, for workflow.show, accepts an absolute path) with no containment check. The JSON-RPC dispatcher passes params["arguments"] blind to each handler via **kwargs without validating against the advertised input schema. By setting rule_name="../../<some-path>" an attacker walks out of the rules directory and writes any file the running user can write. Dropping a Python .pth file into the user site-packages directory escalates this primitive to arbitrary code execution in any subsequent Python process the user spawns — the next praisonai CLI invocation, an IDE script run, the user's python REPL, or any background Python service. This issue has been patched in version 4.6.34.

Scoring

CVSS 3.19.6 (CRITICAL)
VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
EPSS0.49% probability of exploitation · percentile 38.3% · 2026-06-18T12:00:27Z
Published2026-05-08
Last modified2026-05-11

Underlying weaknesses· 5

CWE-20CWE-22CWE-94CWE-829CWE-913

References

  1. https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-9mqq-jqxf-grvw
  2. https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-9mqq-jqxf-grvw

5

TypeTargetConfidenceTier
WeaknessImproper Input Validationcwe-200%live
WeaknessImproper Limitation of a Pathname to a Restricted Directory ('Path Traversal')cwe-220%live
WeaknessInclusion of Functionality from Untrusted Control Spherecwe-8290%live
WeaknessImproper Control of Dynamically-Managed Code Resourcescwe-9130%live
WeaknessImproper Control of Generation of Code ('Code Injection')cwe-940%live

Related by meaning· 6

Nearest entities by semantic similarity across the cs-graph corpus.

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Sourced from NVD + FIRST.org EPSS. Curated for EU compliance use cases by Adam Lundqvist, Founder at SQUR.