PatchFirst · Свежие уязвимости
За последние 30 дней в Python опубликовано уязвимостей: 354; в каталоге KEV: 1.
Уязвимостей: 7137
In mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the application unable to respond to other requests. This vulnerability is due to uncontrolled resource consumption.
A Regular Expression Denial of Service (ReDoS) vulnerability exists in gaizhenbiao/chuanhuchatgpt, as of commit 20b2e02. The server uses the regex pattern `r'<[^>]+>'` to parse user input. In Python's default regex engine, this pattern can take polynomial time to match certain crafted inputs. An attacker can exploit this by uploading a malicious JSON payload, causing the server to consume 100% CPU for an extended period. This can lead to a Denial of Service (DoS) condition, potentially affecting the entire server.
A path traversal vulnerability exists in the modelscope/agentscope application, affecting all versions. The vulnerability is present in the /delete-workflow endpoint, allowing an attacker to delete arbitrary files from the filesystem. This issue arises due to improper input validation, enabling the attacker to manipulate file paths and delete sensitive files outside of the intended directory.
A Denial of Service (DoS) vulnerability exists in the file upload feature of lm-sys/fastchat version 0.2.36. The vulnerability is due to improper handling of form-data with a large filename in the file upload request. An attacker can exploit this by sending a payload with an excessively large filename, causing the server to become overwhelmed and unavailable to legitimate users.
corydolphin/flask-cors version 4.01 contains a vulnerability where the request path matching is case-insensitive due to the use of the `try_match` function, which is originally intended for matching hosts. This results in a mismatch because paths in URLs are case-sensitive, but the regex matching treats them as case-insensitive. This misconfiguration can lead to significant security vulnerabilities, allowing unauthorized origins to access paths meant to be restricted, resulting in data exposure and potential data leaks.
A Server-Side Request Forgery (SSRF) vulnerability exists in composiohq/composio version v0.4.2, specifically in the /api/actions/execute/WEBTOOL_SCRAPE_WEBSITE_CONTENT endpoint. This vulnerability allows an attacker to read files, access AWS metadata, and interact with local services on the system.
A vulnerability in the `download_model` function of the onnx/onnx framework, before and including version 1.16.1, allows for arbitrary file overwrite due to inadequate prevention of path traversal attacks in malicious tar files. This vulnerability can be exploited by an attacker to overwrite files in the user's directory, potentially leading to remote command execution.
A vulnerability in the dataframe component of gradio-app/gradio (version git 98cbcae) allows for a zip bomb attack. The component uses pd.read_csv to process input values, which can accept compressed files. An attacker can exploit this by uploading a maliciously crafted zip bomb, leading to a server crash and causing a denial of service.
In composiohq/composio version 0.4.3, the mathematical_calculator endpoint uses the unsafe eval() function to perform mathematical operations. This can lead to arbitrary code execution if untrusted input is passed to the eval() function.
In version 3.25.0 of aimhubio/aim, the tracking server is vulnerable to a denial of service attack. The server overrides the maximum size for websocket messages, allowing very large images to be tracked. This causes the server to become unresponsive to other requests while processing the large image, leading to a denial of service condition.
A Cross-Origin Resource Sharing (CORS) vulnerability exists in feast-dev/feast version 0.40.0. The CORS configuration on the agentscope server does not properly restrict access to only trusted origins, allowing any external domain to make requests to the API. This can bypass intended security controls and potentially expose sensitive information.
A vulnerability in corydolphin/flask-cors version 4.0.1 allows for inconsistent CORS matching due to the handling of the '+' character in URL paths. The request.path is passed through the unquote_plus function, which converts the '+' character to a space ' '. This behavior leads to incorrect path normalization, causing potential mismatches in CORS configuration. As a result, endpoints may not be matched correctly to their CORS settings, leading to unexpected CORS policy application. This can cause unauthorized cross-origin access or block valid requests, creating security vulnerabilities and usability issues.
A vulnerability in aimhubio/aim version 3.19.3 allows an attacker to exploit the `tarfile.extractall()` function to extract the contents of a maliciously crafted tarfile to arbitrary locations on the host server. The attacker can control `repo.path` and `run_hash` to bypass directory existence checks and extract files to unintended locations, potentially overwriting critical files. This can lead to arbitrary data being written to arbitrary locations on the remote tracking server, which could be used for further attacks such as writing a new SSH key to the target server.
A vulnerability in the `/3/ImportFiles` endpoint of h2oai/h2o-3 version 3.46.1 allows an attacker to cause a denial of service. The endpoint takes a single GET parameter, `path`, which can be recursively set to reference itself. This leads the server to repeatedly call its own endpoint, eventually filling up the request queue and leaving the server unable to handle other requests.
A vulnerability in BerriAI/litellm, as of commit 26c03c9, allows unauthenticated users to cause a Denial of Service (DoS) by exploiting the use of ast.literal_eval to parse user input. This function is not safe and is prone to DoS attacks, which can crash the litellm Python server.
A SQL injection vulnerability exists in the `duckdb_retriever` component of the run-llama/llama_index repository, specifically in the latest version. The vulnerability arises from the construction of SQL queries without using prepared statements, allowing an attacker to inject arbitrary SQL code. This can lead to remote code execution (RCE) by installing the shellfs extension and executing malicious commands.
A Denial of Service (DoS) vulnerability exists in the file upload feature of gaizhenbiao/chuanhuchatgpt version 20240914. The vulnerability is due to improper handling of form-data with a large filename in the file upload request. By sending a payload with an excessively large filename, the server becomes overwhelmed and unresponsive, leading to unavailability for legitimate users.
An improper authorization vulnerability exists in the main-latest version of BerriAI/litellm. When a user with the role 'internal_user_viewer' logs into the application, they are provided with an overly privileged API key. This key can be used to access all the admin functionality of the application, including endpoints such as '/users/list' and '/users/get_users'. This vulnerability allows for privilege escalation within the application, enabling any account to become a PROXY ADMIN.
A Regular Expression Denial of Service (ReDoS) vulnerability exists in the gradio-app/gradio repository, affecting the gr.Datetime component. The affected version is git commit 98cbcae. The vulnerability arises from the use of a regular expression `^(?:\s*now\s*(?:-\s*(\d+)\s*([dmhs]))?)?\s*$` to process user input. In Python's default regex engine, this regular expression can take polynomial time to match certain crafted inputs. An attacker can exploit this by sending a crafted HTTP request, causing the gradio process to consume 100% CPU and potentially leading to a Denial of Service (DoS) condition on the server.
A Denial of Service (DoS) vulnerability in the file upload feature of stangirard/quivr v0.0.298 allows unauthenticated attackers to cause excessive resource consumption by appending characters to the end of a multipart boundary in an HTTP request. This leads to the server continuously processing each character, rendering the service unavailable and impacting all users.
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