Threats affecting pkg:pypi/Crawl4AI

Crawl4AI before 0.9.5 contains a blind server-side request forgery vulnerability in the Docker server that allows API clients to bypass the egress proxy by enabling check_cache_freshness. Attackers can cache a controlled URL, then trigger CacheValidator to follow 302 redirects or DNS rebinding to internal and cloud-metadata addresses for port and service discovery.

Crawl4AI from 0.9.0 before 0.9.5 contains a JavaScript injection vulnerability in the Docker API server that allows authenticated API clients to run arbitrary JavaScript in the crawl page via allowlisted css_selector and wait_for fields. Attackers can inject quotes into css_selector or supply js: conditions in wait_for, bypassing the js_code block to alter page state and returned crawl content.

CVE-2026-119120 is a high-severity vulnerability in unclecode's crawl4ai versions 0.9.0 through before 0.9.5. The flaw arises from improper filtering of the CosineStrategy model_name field in Docker API request bodies, allowing authenticated users to specify which HuggingFace model the server loads. This can lead to deserialization of untrusted data, enabling execution of arbitrary Python code under PyTorch versions below 2.6 or resource exhaustion via disk and memory consumption. The issue is fixed in version 0.9.5.

CVE-2026-119119 is a denial of service vulnerability in crawl4ai before version 0.9.5. The flaw exists in the Docker API server where the _clamp_untrusted() function does not properly limit certain configuration fields in untrusted CrawlerRunConfig bodies. This allows unauthenticated attackers to send excessively large values to endpoints /crawl or /crawl/stream, exhausting resources and blocking other crawling operations.

Crawl4AI before 0.9.5 contains an improper certificate validation vulnerability that allows network attackers to intercept crawls because Chromium always launches with --ignore-certificate-errors. Man-in-the-middle or DNS-controlling attackers can serve forged content to the crawler and read cookies and headers sent, while hard-coded --no-sandbox also overrides CRAWL4AI_CHROMIUM_SANDBOX.

Crawl4AI versions 0.7.0 up to but not including 0.9.5 contain a vulnerability involving inefficient regular expression complexity in the Docker API server. Authenticated API clients can supply unbounded regular expressions in /crawl request bodies, which may cause catastrophic backtracking and freeze the entire server, including the /health endpoint. This issue is fixed in version 0.9.5.

Crawl4AI from 0.8.7 through 0.9.5 contains a server-side request forgery vulnerability in the Docker API server that allows unauthenticated attackers to bypass destination checks via URL userinfo parsing differences. Attackers can set fetch_ssl_certificate=true with crafted userinfo URLs so SSLCertificate.from_url connects to internal hosts on port 443, probing reachability and leaking certificate details.

Crawl4AI before 0.9.3 contains a server-side request forgery vulnerability in PDFContentScrapingStrategy where _get_pdf_path() re-downloads targets with Python requests without egress validation. Authenticated attackers can supply URLs that redirect to internal addresses or use DNS rebinding to access internal services, exfiltrating responses through PDF text extraction in crawl results.

Crawl4AI before 0.8.7 contains an arbitrary file write vulnerability in the Docker API server's /screenshot and /pdf endpoints. The output_path parameter accepts arbitrary filesystem paths without validation, allowing an attacker to supply absolute or path-traversal values to write to any location writable by the application's user, overwriting server files and causing denial of service.

Crawl4AI before 0.8.7 contains a server-side request forgery (SSRF) vulnerability in the Docker API server's /crawl/job and /llm/job endpoints, which accept webhook URLs without destination validation. An attacker can supply webhook URLs pointing to private or internal IP ranges, Docker networks, or cloud metadata endpoints (e.g. 169.254.169.254), causing the server to make requests to internal services and potentially expose cloud metadata.

Crawl4AI before 0.8.7 contains an arbitrary JavaScript execution vulnerability in the Docker API server's /execute_js endpoint, which accepts and executes arbitrary user-supplied JavaScript in the server's browser context with --disable-web-security enabled. An attacker can execute arbitrary JavaScript and, combined with the browser's relaxed security settings, perform server-side request forgery against internal services.

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 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 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.

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.