unclecode/crawl4ai

Crawl4AI before 0.8.7 contains an authentication bypass vulnerability in the monitor router endpoints that allows unauthenticated attackers to access destructive operations. Remote attackers can invoke the /monitor/actions/cleanup endpoint and manipulate monitoring state without authentication, causing service disruption.

Crawl4AI is an open-source LLM friendly web crawler & scraper. Prior to 0.8.7, the _safe_eval_expression() function in the computed fields feature uses an AST validator that only blocks attributes starting with underscore. Python generator and frame object attributes (gi_frame, f_back, f_builtins) do NOT start with underscore, enabling a complete sandbox escape to achieve arbitrary code execution. The attack requires no authentication (JWT disabled by default) and is triggered via POST /crawl with a crafted extraction schema. This vulnerability is fixed in 0.8.7.

Crawl4AI is an open-source LLM friendly web crawler & scraper. Prior to 0.8.8, the Docker API server's SSRF protection (validate_webhook_url / validate_url_destination in deploy/docker/utils.py) used an explicit IPv4/IPv6 CIDR blocklist that missed several address families. An attacker could reach internal services and cloud metadata endpoints (e.g. 169.254.169.254) despite the filter by encoding an internal IPv4 address inside an IPv6 transition form, or by using the IPv6 unspecified address. Because the Docker API is unauthenticated by default (jwt_enabled: false), no credentials are required. This vulnerability is fixed in 0.8.8.

Crawl4AI is an open-source LLM friendly web crawler & scraper. Prior to 0.8.9, the Docker API server applied its SSRF destination check to the crawl target URL only, not to the proxy address. An unauthenticated request could supply a proxy pointing at an internal IP and route the browser through it, reaching internal services and cloud-metadata endpoints, while using a perfectly valid crawl URL. The Docker API is unauthenticated by default. /crawl, /crawl/stream, and /crawl/job accept a browser_config (and crawler_config). The following all feed Chromium's egress and were unchecked: browser_config.proxy_config.server, browser_config.proxy (deprecated field), crawler_config.proxy_config.server, and --proxy-server / --proxy-pac-url / --proxy-bypass-list / --host-resolver-rules flags in browser_config.extra_args. This vulnerability is fixed in 0.8.9.

Crawl4AI before 0.8.8 contains an arbitrary file write vulnerability in the screenshot and PDF endpoints that allows unauthenticated attackers to write files outside the intended directory via symlink and time-of-check-time-of-use (TOCTOU) attacks on the output_path parameter. Remote attackers can exploit insufficient path validation and symlink following to achieve arbitrary file write and potential code execution on systems where the runtime user has write access to executable or cron locations.

Crawl4AI before 0.8.7 contains a stored cross-site scripting vulnerability in the monitor dashboard that renders crawl URLs and error messages via innerHTML without escaping. An attacker can submit a crafted crawl request with malicious markup that executes in an operator's browser when viewing the dashboard.

Crawl4AI before 0.8.7 contains a server-side request forgery vulnerability in the /crawl, /crawl/stream, /md, and /llm endpoints that fetch arbitrary user-supplied URLs without validation. Unauthenticated attackers can bypass the internal-address blocklist using IPv6-mapped IPv4 addresses to reach internal services and cloud metadata endpoints.

Crawl4AI before 0.8.7 contains an authentication bypass vulnerability due to a hardcoded default JWT signing key in the Docker API server. Attackers who know the default key can forge valid authentication tokens for any user, bypassing authentication and gaining full access to protected functionality.

Crawl4AI versions prior to 0.8.0 contain a remote code execution vulnerability in the 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 unauthenticated remote attackers to import arbitrary modules and execute system commands. Successful exploitation allows full server compromise, including arbitrary command execution, file read and write access, sensitive data exfiltration, and lateral movement within internal networks.

Crawl4AI versions prior to 0.8.0 contain a local file inclusion vulnerability in the Docker API deployment. The /execute_js, /screenshot, /pdf, and /html endpoints accept file:// URLs, allowing unauthenticated remote attackers to read arbitrary files from the server filesystem. An attacker can access sensitive files such as /etc/passwd, /etc/shadow, application configuration files, and environment variables via /proc/self/environ, potentially exposing credentials, API keys, and internal application structure.