Open WebUI: SSRF Protection Bypass in Playwright Web Loader via HTTP Redirects

Open WebUI: Jupyter code execution works despite `ENABLE_CODE_EXECUTION

Open WebUI has a full SSRF Vulnerability in the RAG Web Search Feature

Server-Side Request Forgery (SSRF) vulnerability exists in MLflow versions prior to 3.9.0. The `_create_webhook()` function in `mlflow/server/handlers.py` accepts a user-controlled `url` parameter without validation, and the `_send

affected by path traversal, redirect-following SSRF, and telemetry payload exposure

core security wrappers (secureAxiosRequest and secureFetch) intended to prevent Server-Side Request Forgery (SSRF) contain multiple logic flaws. These flaws allow attackers to bypass the allow/deny lists via DNS Rebinding

customized large language model flow. Prior to 3.1.0, a Server-Side Request Forgery (SSRF) vulnerability exists in FlowiseAI's POST/GET API Chain components that allows unauthenticated attackers to force

Flowise: SSRF Protection Bypass (TOCTOU & Default Insecure

PraisonAIAgents: SSRF via unvalidated URL in `web_crawl` httpx fallback

authenticated SSRF via instance-URL header in multi-tenant HTTP mode

range validation in the isPrivateIpv4() function, allowing requests to RFC-reserved ranges to bypass SSRF policy checks. Attackers with network reachability to special-use IPv4 ranges can exploit web_fetch

forgery vulnerability in web_search citation redirect resolution that uses a private-network-allowing SSRF policy. An attacker who can influence citation redirect targets can trigger internal-network requests from

pinning bypass vulnerability in strict URL fetch paths that allows attackers to circumvent SSRF guards when environment proxy variables are configured. When HTTP_PROXY, HTTPS_PROXY, or ALL_PROXY environment

ranges (RFC 1918), localhost, or cloud metadata endpoints. This enables Server-Side Request Forgery (SSRF), allowing any user interacting with a publicly exposed chatflow to force

package designed for quick prototyping. Prior to version 6.6.0, a Server-Side Request Forgery (SSRF) vulnerability in Gradio allows an attacker to make arbitrary HTTP requests from a victim

speech voice models. In versions prior to 1.16.0, a Server-Side Request Forgery (SSRF) vulnerability in the asset download endpoint allows authenticated users to make arbitrary HTTP requests from

workflows with Generative AI. From 0.0.26 to before 1.56.0, aServer-Side Request Forgery (SSRF) vulnerability exists in Pydantic AI's URL download functionality. When applications accept message history from untrusted

large language models (LLMs). Prior to version 0.14.1, a Server-Side Request Forgery (SSRF) vulnerability exists in the `MediaConnector` class within the vLLM project's multimodal feature set. The load

Chainlit contain a server-side request forgery (SSRF) vulnerability

Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods fetch