CVE-2026-57573 crawl4ai vulnerability
Crawl4AI is an open-source LLM-friendly web crawler and scraper. Prior to 0.9.0, the Docker API server applied its SSRF destination check on the non-streaming /crawl path but not on the streaming path. handle_stream_crawl_request passed seed URLs straight to the crawler with no destination validation, allowing a remote unauthenticated client to call POST /crawl/stream or POST /crawl with crawler_config.stream=true with a URL pointing at an internal, private, or link-local address; the server fetched it and streamed the response body back. This issue is fixed in version 0.9.0.
Quick answer
kidocode crawl4ai should be reviewed and updated if it matches the affected versions. The recommended fix is to apply the vendor-supported patched version or the mitigation steps below, then retest the public website with Fixnx.
Who is affected
Affected versions
- Review vendor advisory for affected versions.
Fixed versions
- Apply the latest vendor-supported patched version.
How to fix it
Crawl4AI is affected by CVE-2026-57573, a SSRF and internal network access risk. Crawl4AI is an open-source LLM-friendly web crawler and scraper. The recommended remediation is to update to Crawl4AI 0.9.0 or later. Until the update is complete, block private IP ranges, metadata endpoints, Docker networks, and internal hosts from crawler streaming destinations, review logs, and reduce exposure of the affected service or workflow.
- Inventory every deployment, package, appliance, container, service, and managed environment that uses Crawl4AI.
- Confirm the installed version and compare it with versions prior to 0 and the source advisory for CVE-2026-57573.
- Apply the vendor-supported fix: update to Crawl4AI 0.9.0 or later.
- If the update cannot be applied immediately, block private IP ranges, metadata endpoints, Docker networks, and internal hosts from crawler streaming destinations; disable unnecessary public access, endpoints, integrations, uploads, management interfaces, or high-risk features until patched.
- Review application, device, reverse-proxy, WAF, package manager, container, authentication, and audit logs for activity related to CVE-2026-57573.
- Rotate sessions, API tokens, service credentials, integration keys, and administrator passwords if logs or affected data indicate compromise, code execution, credential exposure, or unauthorized access.
- Clear caches, restart affected services, rebuild affected containers or appliances when appropriate, and remove temporary files, stored payloads, generated artifacts, or unsafe configuration created during exploitation attempts.
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Verify the fix
- Confirm Crawl4AI now reports Crawl4AI 0.9.0 or later or a later vendor-supported fixed release for the deployed branch.
- Verify the affected workflow no longer allows the behavior described in CVE-2026-57573, using a safe regression test or vendor-provided validation method.
- Review logs after remediation for continued exploit attempts, denial-of-service symptoms, suspicious redirects, unauthorized requests, file access, credential exposure, or configuration changes.
- Rerun a Fixnx scan and any product-specific scanner, package audit, device health check, or manual regression test relevant to the affected service.
- Document affected assets, fixed versions, mitigation decisions, validation evidence, and any cleanup or credential rotation performed.
Related categories
Trusted references
FAQ
What is affected by CVE-2026-57573?
kidocode crawl4ai should be checked against the vendor advisory and trusted references linked on this page.
What should I fix first?
Start with internet-facing sites, admin panels, login flows, plugins, themes, modules, packages, and systems that process user-controlled input or sensitive data.
How do I confirm the fix worked?
Apply the patched version or mitigation, clear caches where relevant, retest the affected workflow, and run a new Fixnx scan to verify public website exposure signals.
How are Fixnx security risk categories chosen?
Fixnx keeps one canonical risk page and assigns only broad, relevant categories such as ecosystem, technology area, or vulnerability class.