Total
3555 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-44016 | 1 Docling | 1 Docling | 2026-07-15 | N/A | 8.2 HIGH |
| Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. FIn versions >= 2.82.0, < 2.91.0, if the HTML backend was explicitly configured for rendering (rendering option by default deactivated), then the Playwright-based rendering feature could allow JavaScript execution and unrestricted network access when processing untrusted HTML documents. An attacker could craft malicious HTML that executes arbitrary JavaScript in the rendering context or makes unauthorized network requests to internal services, potentially leading to SSRF attacks, data exfiltration, or remote code execution in the rendering environment. This vulnerability is fixed in 2.91.0. | |||||
| CVE-2026-41481 | 1 Langchain | 1 Langchain-text-splitters | 2026-07-15 | N/A | 6.5 MEDIUM |
| LangChain is a framework for building agents and LLM-powered applications. Prior to langchain-text-splitters 1.1.2, HTMLHeaderTextSplitter.split_text_from_url() validated the initial URL using validate_safe_url() but then performed the fetch with requests.get() with redirects enabled (the default). Because redirect targets were not revalidated, a URL pointing to an attacker-controlled server could redirect to internal, localhost, or cloud metadata endpoints, bypassing SSRF protections. The response body is parsed and returned as Document objects to the calling application code. Whether this constitutes a data exfiltration path depends on the application: if it exposes Document contents (or derivatives) back to the requester who supplied the URL, sensitive data from internal endpoints could be leaked. Applications that store or process Documents internally without returning raw content to the requester are not directly exposed to data exfiltration through this issue. This vulnerability is fixed in 1.1.2. | |||||
| CVE-2026-32871 | 1 Jlowin | 1 Fastmcp | 2026-07-15 | N/A | 10.0 CRITICAL |
| FastMCP is a Pythonic way to build MCP servers and clients. Prior to version 3.2.0, the OpenAPIProvider in FastMCP exposes internal APIs to MCP clients by parsing OpenAPI specifications. The RequestDirector class is responsible for constructing HTTP requests to the backend service. A vulnerability exists in the _build_url() method. When an OpenAPI operation defines path parameters (e.g., /api/v1/users/{user_id}), the system directly substitutes parameter values into the URL template string without URL-encoding. Subsequently, urllib.parse.urljoin() resolves the final URL. Since urljoin() interprets ../ sequences as directory traversal, an attacker controlling a path parameter can perform path traversal attacks to escape the intended API prefix and access arbitrary backend endpoints. This results in authenticated SSRF, as requests are sent with the authorization headers configured in the MCP provider. This issue has been patched in version 3.2.0. | |||||
| CVE-2026-25580 | 1 Pydantic | 1 Pydantic Ai | 2026-07-15 | N/A | 8.6 HIGH |
| Pydantic AI is a Python agent framework for building applications and 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 sources, attackers can include malicious URLs that cause the server to make HTTP requests to internal network resources, potentially accessing internal services or cloud credentials. This vulnerability only affects applications that accept message history from external users. This vulnerability is fixed in 1.56.0. | |||||
| CVE-2026-0532 | 2026-07-15 | N/A | 8.6 HIGH | ||
| External Control of File Name or Path (CWE-73) combined with Server-Side Request Forgery (CWE-918) can allow an attacker to cause arbitrary file disclosure through a specially crafted credentials JSON payload in the Google Gemini connector configuration. This requires an attacker to have authenticated access with privileges sufficient to create or modify connectors (Alerts & Connectors: All). The server processes a configuration without proper validation, allowing for arbitrary network requests and for arbitrary file reads. | |||||
| CVE-2025-68616 | 1 Kozea | 1 Weasyprint | 2026-07-15 | N/A | 7.5 HIGH |
| WeasyPrint helps web developers to create PDF documents. Prior to version 68.0, a server-side request forgery (SSRF) protection bypass exists in WeasyPrint's `default_url_fetcher`. The vulnerability allows attackers to access internal network resources (such as `localhost` services or cloud metadata endpoints) even when a developer has implemented a custom `url_fetcher` to block such access. This occurs because the underlying `urllib` library follows HTTP redirects automatically without re-validating the new destination against the developer's security policy. Version 68.0 contains a patch for the issue. | |||||
| CVE-2025-45691 | 1 Vibrantlabsai | 1 Ragas | 2026-07-15 | N/A | 7.5 HIGH |
| An Arbitrary File Read vulnerability exists in the ImageTextPromptValue class in Exploding Gradients RAGAS v0.2.3 to v0.2.14. The vulnerability stems from improper validation and sanitization of URLs supplied in the retrieved_contexts parameter when handling multimodal inputs. | |||||
| CVE-2026-6587 | 2026-07-15 | 6.5 MEDIUM | 6.3 MEDIUM | ||
| A security flaw has been discovered in vibrantlabsai RAGAS up to 0.4.3. The affected element is the function _try_process_local_file/_try_process_url of the file src/ragas/metrics/collections/multi_modal_faithfulness/util.py of the component Collections Module. Performing a manipulation of the argument retrieved_contexts results in server-side request forgery. The attack can be initiated remotely. The exploit has been released to the public and may be used for attacks. The security patch for CVE-2025-45691 was applied to a different module only. The vendor was contacted early about this disclosure but did not respond in any way. | |||||
| CVE-2026-59101 | 2026-07-14 | N/A | 5.8 MEDIUM | ||
| AutoBangumi before 3.2.8 contains a server-side request forgery (SSRF) vulnerability that allows unauthenticated remote attackers to probe internal network services by supplying arbitrary host values to an unprotected setup endpoint. Attackers can send requests to the POST /api/v1/setup/test-downloader endpoint during the initial setup window, causing the server to issue HTTP GET requests to internal or reserved addresses and leak information through echoed connection-error messages. | |||||
| CVE-2026-59095 | 2026-07-14 | N/A | 7.7 HIGH | ||
| LobeChat before 2.2.10-canary.18 contains a server-side request forgery vulnerability that allows authenticated attackers to direct internal HTTP requests to arbitrary URLs by supplying user-controlled input to the skill import service (importFromUrl) and topic cover update (fetchImageFromUrl) endpoints, which use the global fetch without the project's ssrf-safe-fetch wrapper. Attackers can target internal addresses such as cloud instance metadata endpoints through these unprotected code paths to disclose internal service responses and cloud credentials. | |||||
| CVE-2026-58468 | 2026-07-14 | N/A | 5.5 MEDIUM | ||
| NocoBase through 2.1.20 contains a server-side request forgery vulnerability in the serverRequest wrapper that allows authenticated administrators to issue arbitrary outbound HTTP requests by supplying malicious URLs to workflow request nodes, custom request action buttons, or the AI plugin. Attackers can target loopback addresses, RFC-1918 private ranges, and cloud instance metadata endpoints to perform internal network port enumeration, host discovery, and retrieval of IAM role credentials from the instance metadata service. v2.1.18 added a warning message for when SERVER_REQUEST_WHITELIST is not configured. | |||||
| CVE-2025-34452 | 2026-07-14 | N/A | N/A | ||
| Streama versions 1.10.0 through 1.10.5 and prior to commit b7c8767 contain a combination of path traversal and server-side request forgery (SSRF) vulnerabilities in that allow an authenticated attacker to write arbitrary files to the server filesystem. The issue exists in the subtitle download functionality, where user-controlled parameters are used to fetch remote content and construct file paths without proper validation. By supplying a crafted subtitle download URL and a path traversal sequence in the file name, an attacker can write files to arbitrary locations on the server, potentially leading to remote code execution. | |||||
| CVE-2025-34282 | 1 Thingsboard | 1 Thingsboard | 2026-07-14 | N/A | 9.1 CRITICAL |
| ThingsBoard versions < 4.2.1 contain a server-side request forgery (SSRF) vulnerability in the dashboard's Image Upload Gallery feature. An attacker can upload a malicious SVG file that references a remote URL. If the server processes the SVG file in a way that parses external references, it may initiate unintended outbound requests. This can be used to access internal services or resources. | |||||
| CVE-2025-0474 | 2026-07-14 | N/A | 7.7 HIGH | ||
| Invoice Ninja is vulnerable to authenticated Server-Side Request Forgery (SSRF) allowing for arbitrary file read and network resource requests as the application user. This issue affects Invoice Ninja: from 5.8.56 through 5.11.23. | |||||
| CVE-2026-57947 | 2026-07-14 | N/A | 8.5 HIGH | ||
| Pinpoint through 3.1.0 contains a server-side request forgery vulnerability in the webhook registration endpoint that allows authenticated users to register internal URLs due to missing SSRF protection. Attackers can trigger alarm threshold breaches to force the server to issue POST requests to internal hosts and metadata endpoints, enabling unauthorized access to internal network resources. | |||||
| CVE-2026-56779 | 2026-07-14 | N/A | 6.4 MEDIUM | ||
| MaxKB before 2.10.0 contains a server-side request forgery vulnerability in tool creation and update endpoints that allows authenticated users to make arbitrary server requests by supplying unvalidated downloadCallbackUrl and download_url parameters. Attackers with default workspace USER role can exploit this to access internal network services by providing malicious URLs to the ToolSerializer endpoints. | |||||
| CVE-2026-56771 | 2026-07-14 | N/A | 8.5 HIGH | ||
| NewsBlur before version 14.5.0 contains a server-side request forgery vulnerability in the add_url endpoint that allows authenticated users to make arbitrary server requests to internal networks by failing to filter private IP addresses. Attackers can exploit this to access localhost services and cloud metadata endpoints, enabling internal network scanning and sensitive data exfiltration. | |||||
| CVE-2026-56769 | 2026-07-14 | N/A | 8.5 HIGH | ||
| Huly Platform through 0.7.423, fixed in commit 68cbf8a contains an authenticated server-side request forgery vulnerability in the /import endpoint of front pod that allows workspace users to make arbitrary server requests. Attackers can exploit this by supplying malicious URLs to fetch internal services, exfiltrate responses, and replay credentials against backend systems. | |||||
| CVE-2026-56285 | 2026-07-14 | N/A | 8.6 HIGH | ||
| Nitter's /video media proxy endpoint fails to validate target URLs against Twitter/X domains and uses a hardcoded default HMAC key, allowing unauthenticated attackers to compute valid HMACs for arbitrary URLs. Attackers can retrieve HTTP responses from any host reachable by the server, including cloud metadata services and internal network resources. | |||||
| CVE-2026-53782 | 2026-07-14 | N/A | 7.4 HIGH | ||
| Summarize before 0.17.0 contains a server-side request forgery vulnerability that allows attackers who control a podcast RSS feed to direct the host to fetch transcript content from loopback addresses, link-local addresses, RFC 1918 private ranges, or other reserved destinations by supplying malicious podcast:transcript URL values. Attackers can bypass protections through DNS rebinding and redirect-based techniques, as redirect targets are not revalidated and hostnames are not resolved before request dispatch, exposing internal service responses through the summarization flow. | |||||