Crawl4AI <=0.4.247 is vulnerable to SSRF in /crawl4ai/async_dispatcher.py.
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 sta
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
In infiniflow/ragflow versions 0.12.0, the `web_crawl` function in `document_app.py` contains multiple vulnerabilities. The function does not filter URL parameters, allowing attackers to exploit Full
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 unaut
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
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 unauth
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
open-webui v0.5.16 is vulnerable to SSRF in routers/ollama.py in function verify_connection.
There is an SSRF vulnerability in the Fluid Topics platform that affects versions prior to 4.3, where the server can be forced to make arbitrary requests to internal and external resources by an authe
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. Unauthentic
A vulnerability was found in ageerle ruoyi-ai up to 2.0.1 and classified as critical. Affected by this issue is some unknown functionality of the file ruoyi-modules/ruoyi-system/src/main/java/org/ruoy
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
A Local File Inclusion (LFI) and a Server-Side Request Forgery (SSRF) vulnerability was found in the InsertFromHtmlString() function of the Apryse HTML2PDF SDK thru 11.6.0. These vulnerabilities could
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 authentica
Server-side request forgery (SSRF) vulnerability exists in FileMegane versions above 3.0.0.0 prior to 3.4.0.0. Executing arbitrary backend Web API requests could potentially lead to rebooting the serv
Crawlee is a web scraping and browser automation library. From version 1.0.0 to before version 1.7.0, Crawlee is vulnerable to SSRF via sitemap-derived URLs. This issue has been patched in version 1.7
A vulnerability, which was classified as critical, has been found in 20120630 Novel-Plus up to 0e156c04b4b7ce0563bef6c97af4476fcda8f160. This issue affects the function addCrawlSource of the file nove
A Server-Side Request Forgery (SSRF) vulnerability was identified in the Requests utility of significant-gravitas/autogpt versions prior to v0.4.0. The vulnerability arises due to a hostname confusion
Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.9.0, a Server-Side Request Forgery (SSRF) vulnerability exists in _process_picture_url() i
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