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="../../" 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.
CVE-2026-44336
This critical-severity CVE scores 9.6 under NVD CVSS v3. EPSS exploit probability: 0.6%, top 53% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- High severity, but no confirmed exploitation yet
A fix is available — apply it.
- CVSS v3
- 9.6
- EG Score
- 9.6CRITICALmedium confidence
- EG Risk
- 59EG Risk 59/100
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity96% × 45%Exploitation40% × 40%Automatability0% × 15% - EPSS PROB
- 0.7%
- EPSS %ILE
- 50th
- KEV
- Not listed
Published
May 8, 2026
Last Modified
May 11, 2026
Advisory Details (1)
Auto-updated Oct 2, 2026PraisonAI MCP `tools/call` path-traversal => RCE via Python `.pth` injection · Advisory · MervinPraison/PraisonAI · GitHub
https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-9mqq-jqxf-grvwAffected Packages
(1 across 1 ecosystem)
PyPI(1)
| Package | Vulnerable range | Fix by version range | Dependents |
|---|---|---|---|
| praisonai | 0.0.1 ... 4.6.9 (725 versions) |
| — |
Weakness Classification(5)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 7× in last 7d / 24× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
Showing the most recent 100 of 162 total refreshes for this CVE.
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Related CVEs(same product + same CWE)
Same product
10 shownPyPI:praisonai
Frequently asked(5)
What is CVE-2026-44336?
When was CVE-2026-44336 disclosed?
Is CVE-2026-44336 actively exploited?
What is the CVSS score of CVE-2026-44336?
How do I remediate CVE-2026-44336?
Dependency Blast Radius
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