PatchFirst · Vulnerabilidades recientes
Vulnerabilidades publicadas para Python en los últimos 30 días: 352. Incluidas en el catálogo KEV: 1.
Vulnerabilidades: 7135
API users via `/api/v2/dagReports` could perform Dag code execution in the context of the api-server if the api-server was deployed in the environment where Dag files were available.
User with CREATE and no UPDATE privilege for Pools, Connections, Variables could update existing records via bulk create API with overwrite action.
An open redirect vulnerability exists in Byaidu PDFMathTranslate v1.9.9 that allows attackers to craft URLs that cause the application to redirect users to arbitrary external websites via the file parameter to the /gradio_api endpoint. This vulnerability could be exploited for phishing attacks or to bypass security filters.
# Patch This is fixed with [commit b953092](https://github.com/PixarAnimationStudios/OpenUSD/commit/b9530922b6a8ea72cd43661226b693fff8abbe4c), with the fix available in OpenUSD 25.11 and onwards. # Summary We have been advised by Zero Day Initiative that our usage of the USD framework may constitute a Use-After-Free Remote Code Execution Vulnerability. They have sent us the attached file illustrating the issue. Indeed, we see a use after free exception when running the file through our importer with an address sanitizer. [zdi-23709-poc0.zip](https://github.com/user-attachments/files/17474297/zdi-23709-poc0.zip) Thanks in advance.
MLflow Weak Password Requirements Authentication Bypass Vulnerability. This vulnerability allows remote attackers to bypass authentication on affected installations of MLflow. Authentication is not required to exploit this vulnerability. The specific flaw exists within the handling of passwords. The issue results from weak password requirements. An attacker can leverage this vulnerability to bypass authentication on the system. Was ZDI-CAN-26916.
MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow Tracking Server. Authentication is not required to exploit this vulnerability. The specific flaw exists within the handling of model file paths. The issue results from the lack of proper validation of a user-supplied path prior to using it in file operations. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-26921.
LangGraph SQLite Checkpoint is an implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via aiosqlite). Prior to 2.0.11, LangGraph's SQLite store implementation contains SQL injection vulnerabilities using direct string concatenation without proper parameterization, allowing attackers to inject arbitrary SQL and bypass access controls. This vulnerability is fixed in 2.0.11.
CKAN is an open-source DMS (data management system) for powering data hubs and data portals. Prior to 2.10.9 and 2.11.4, session ids could be fixed by an attacker if the site is configured with server-side session storage (CKAN uses cookie-based session storage by default). The attacker would need to either set a cookie on the victim's browser or steal the victim's currently valid session. Session identifiers are now regenerated after each login. This vulnerability has been fixed in CKAN 2.10.9 and 2.11.4
### Summary FastMCP documentation [covers the scenario](https://gofastmcp.com/integrations/azure) where it is possible to use Entra ID or other providers for authentication. In this context, because Entra ID does not support Dynamic Client Registration (DCR), the FastMCP-hosted MCP server is acting as the authorization provider, as declared in the Protected Resource Metadata (PRM) document hosted on the server. For example, on a local MCP server, it may be hosted here: ```http http://localhost:8000/.well-known/oauth-protected-resource ``` And the JSON representation of the PRM document: ```json { "resource": "http://localhost:8000/mcp"
CKAN is an open-source DMS (data management system) for powering data hubs and data portals. Prior to 2.10.9 and 2.11.4, the helpers.markdown_extract() function did not perform sufficient sanitization of input data before wrapping in an HTML literal element. This helper is used to render user-provided data on dataset, resource, organization or group pages (plus any page provided by an extension that used that helper function), leading to a potential XSS vector. This vulnerability has been fixed in CKAN 2.10.9 and 2.11.4.
The Keras.Model.load_model method, including when executed with the intended security mitigation safe_mode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery (SSRF). This vulnerability stems from the way the StringLookup layer is handled during model loading from a specially crafted .keras archive. The constructor for the StringLookup layer accepts a vocabulary argument that can specify a local file path or a remote file path. * Arbitrary Local File Read: An attacker can create a malicious .keras file that embeds a local path in the StringLookup layer's configuration. When the model is loaded, Keras will
FastMCP is the standard framework for building MCP applications. Versions prior to 2.13.0, a command-injection vulnerability lets any attacker who can influence the server_name field of an MCP execute arbitrary OS commands on Windows hosts that run fastmcp install cursor. This vulnerability is fixed in 2.13.0.
FastMCP is the standard framework for building MCP applications. Versions prior to 2.13.0 have a reflected cross-site scripting vulnerability in the OAuth client callback page (oauth_callback.py) where unescaped user-controlled values are inserted into the generated HTML, allowing arbitrary JavaScript execution in the callback server origin. The issue is fixed in version 2.13.0.
Starlette is a lightweight ASGI framework/toolkit. Starting in version 0.39.0 and prior to version 0.49.1 , an unauthenticated attacker can send a crafted HTTP Range header that triggers quadratic-time processing in Starlette's FileResponse Range parsing/merging logic. This enables CPU exhaustion per request, causing denial‑of‑service for endpoints serving files (e.g., StaticFiles or any use of FileResponse). This vulnerability is fixed in 0.49.1.
CodeChecker is an analyzer tooling, defect database and viewer extension for the Clang Static Analyzer and Clang Tidy. CodeChecker versions up to 6.26.1 contain a buffer overflow vulnerability in the internal ldlogger library, which is executed by the CodeChecker log command. This issue affects CodeChecker: through 6.26.1.
SQL injection vulnerability in tlocke pg8000 1.31.4 allows remote attackers to execute arbitrary SQL commands via a specially crafted Python list input to function pg8000.native.literal.
A SQL injection vulnerability exists in the langchain-ai/langchain repository, specifically in the LangGraph's SQLite store implementation. The affected version is langgraph-checkpoint-sqlite 2.0.10. The vulnerability arises from improper handling of filter operators ($eq, $ne, $gt, $lt, $gte, $lte) where direct string concatenation is used without proper parameterization. This allows attackers to inject arbitrary SQL, leading to unauthorized access to all documents, data exfiltration of sensitive fields such as passwords and API keys, and a complete bypass of application-level security filters.
pypdf is a free and open-source pure-python PDF library. Prior to version 6.1.3, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing the content stream of a page using the LZWDecode filter. This has been fixed in pypdf version 6.1.3.
pypdf is a free and open-source pure-python PDF library. Prior to version 6.1.3, an attacker who uses this vulnerability can craft a PDF which leads to an infinite loop. This requires parsing the content stream of a page which has an inline image using the DCTDecode filter. This has been fixed in pypdf version 6.1.3.
Authlib is a Python library which builds OAuth and OpenID Connect servers. Prior to version 1.6.5, Authlib’s JWE zip=DEF path performs unbounded DEFLATE decompression. A very small ciphertext can expand into tens or hundreds of megabytes on decrypt, allowing an attacker who can supply decryptable tokens to exhaust memory and CPU and cause denial of service. This issue has been patched in version 1.6.5. Workarounds for this issue involve rejecting or stripping zip=DEF for inbound JWEs at the application boundary, forking and add a bounded decompression guard via decompressobj().decompress(data, MAX_SIZE)) and returning an error when output exc
Compara tu pila y las versiones instaladas con las bases actuales de vulnerabilidades.