GHSA-5882-5rx9-xgxp
Crawl4AI is Vulnerable to Remote Code Execution in Docker API via Hooks Parameter
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Blast Radius
crawl4aiReal-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
A critical remote code execution vulnerability exists in the Crawl4AI Docker API deployment. The /crawl endpoint accepts a hooks parameter containing Python code that is executed using exec(). The __import__ builtin was included in the allowed builtins, allowing attackers to import arbitrary modules and execute system commands.
Attack Vector:
POST /crawl
{
"urls": ["https://example.com"],
"hooks": {
"code": {
"on_page_context_created": "async def hook(page, context, **kwargs):\n __import__('os').system('malicious_command')\n return page"
}
}
}
Impact
An unauthenticated attacker can:
- Execute arbitrary system commands
- Read/write files on the server
- Exfiltrate sensitive data (environment variables, API keys)
- Pivot to internal network services
- Completely compromise the server
Mitigation
- Upgrade to v0.8.0 (recommended)
- If unable to upgrade immediately:
- Disable the Docker API
- Block
/crawlendpoint at network level - Add authentication to the API
Fix Details
- Removed
__import__fromallowed_builtinsinhook_manager.py - Hooks disabled by default (
CRAWL4AI_HOOKS_ENABLED=false) - Users must explicitly opt-in to enable hooks
Credits
Discovered by Neo by ProjectDiscovery (https://projectdiscovery.io)
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | crawl4ai | all versions | 0.8.0 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for crawl4ai. 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 crawl4ai to 0.8.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-5882-5rx9-xgxp 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-5882-5rx9-xgxp 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-5882-5rx9-xgxp. 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-5882-5rx9-xgxp in your dependencies?
O3 detects GHSA-5882-5rx9-xgxp across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.