Vulnerabilidades de la pila Python · Página 196

CVE-2024-37014

Langflow through 0.6.19 allows remote code execution if untrusted users are able to reach the "POST /api/v1/custom_component" endpoint and provide a Python script.

• Actualiza a 1.0.0a3
• Actualiza a 1.0.15

CVE-2024-37568

lepture Authlib before 1.3.1 has algorithm confusion with asymmetric public keys. Unless an algorithm is specified in a jwt.decode call, HMAC verification is allowed with any asymmetric public key. (This is similar to CVE-2022-29217 and CVE-2024-33663.)

• Actualiza a 0.15.5-1ubuntu0.1~esm1
• Actualiza a 1.2.0-1+deb12u1
• Actualiza a 1.3.0-1ubuntu0.1~esm1
• Actualiza a 1.3.1
• Actualiza a 1.3.1-1

Insufficient Session Expiration in zenml-io/zenml

A vulnerability in zenml-io/zenml version 0.56.3 allows attackers to reuse old session credentials or session IDs due to insufficient session expiration. Specifically, the session does not expire after a password change, enabling an attacker to maintain access to a compromised account without the victim's ability to revoke this access. This issue was observed in a self-hosted ZenML deployment via Docker, where after changing the password from one browser, the session remained active and usable in another browser without requiring re-authentication.

CVE-2024-37388

An XML External Entity (XXE) vulnerability in the ebookmeta.get_metadata function of lxml before v4.9.1 allows attackers to access sensitive information or cause a Denial of Service (DoS) via crafted XML input.

• Actualiza a 1.2.8

CVE-2024-36827

An XML External Entity (XXE) vulnerability in the ebookmeta.get_metadata function of ebookmeta before v1.2.8 allows attackers to access sensitive information or cause a Denial of Service (DoS) via crafted XML input.

• Actualiza a 1.2.8

Authentication Bypass and RCE in man-group/dtale

man-group/dtale version 3.10.0 is vulnerable to an authentication bypass and remote code execution (RCE) due to improper input validation. The vulnerability arises from a hardcoded `SECRET_KEY` in the flask configuration, allowing attackers to forge a session cookie if authentication is enabled. Additionally, the application fails to properly restrict custom filter queries, enabling attackers to execute arbitrary code on the server by bypassing the restriction on the `/update-settings` endpoint, even when `enable_custom_filters` is not enabled. This vulnerability allows attackers to bypass authentication mechanisms and execute remote code on

• Actualiza a 3.13.1

Denial-of-Service in LangChain SitemapLoader in langchain-ai/langchain

A Denial-of-Service (DoS) vulnerability exists in the `SitemapLoader` class of the `langchain-ai/langchain` repository, affecting all versions. The `parse_sitemap` method, responsible for parsing sitemaps and extracting URLs, lacks a mechanism to prevent infinite recursion when a sitemap URL refers to the current sitemap itself. This oversight allows for the possibility of an infinite loop, leading to a crash by exceeding the maximum recursion depth in Python. This vulnerability can be exploited to occupy server socket/port resources and crash the Python process, impacting the availability of services relying on this functionality.

• Actualiza a 0.2.5

Race Condition Vulnerability in zenml-io/zenml

A race condition vulnerability exists in zenml-io/zenml versions up to and including 0.55.3, which allows for the creation of multiple users with the same username when requests are sent in parallel. This issue was fixed in version 0.55.5. The vulnerability arises due to insufficient handling of concurrent user creation requests, leading to data inconsistencies and potential authentication problems. Specifically, concurrent processes may overwrite or corrupt user data, complicating user identification and posing security risks. This issue is particularly concerning for APIs that rely on usernames as input parameters, such as PUT /api/v1/users

• Actualiza a 0.55.5

Arbitrary File Overwrite in download_model_with_test_data in onnx/onnx

A vulnerability in the `download_model_with_test_data` function of the onnx/onnx framework, version 1.16.0, allows for arbitrary file overwrite due to inadequate prevention of path traversal attacks in malicious tar files. This vulnerability enables attackers to overwrite any file on the system, potentially leading to remote code execution, deletion of system, personal, or application files, thus impacting the integrity and availability of the system. The issue arises from the function's handling of tar file extraction without performing security checks on the paths within the tar file, as demonstrated by the ability to overwrite the `/home/k

• Actualiza a 1.14.1-2.1ubuntu0.1~esm1
• Actualiza a 1.16.2
• Actualiza a 1.16.2-1

Path Traversal in parisneo/lollms

A path traversal vulnerability exists in the parisneo/lollms application, specifically within the `sanitize_path_from_endpoint` and `sanitize_path` functions in `lollms_core\lollms\security.py`. This vulnerability allows for arbitrary file reading when the application is running on Windows. The issue arises due to insufficient sanitization of user-supplied input, enabling attackers to bypass the path traversal protection mechanisms by crafting malicious input. Successful exploitation could lead to unauthorized access to sensitive files, information disclosure, and potentially a denial of service (DoS) condition by including numerous large or

• Actualiza a 9.5.0
• Actualiza a 9.6

Arbitrary File Deletion in BerriAI/litellm

BerriAI's litellm, in its latest version, is vulnerable to arbitrary file deletion due to improper input validation on the `/audio/transcriptions` endpoint. An attacker can exploit this vulnerability by sending a specially crafted request that includes a file path to the server, which then deletes the specified file without proper authorization or validation. This vulnerability is present in the code where `os.remove(file.filename)` is used to delete a file, allowing any user to delete critical files on the server such as SSH keys, SQLite databases, or configuration files.

• Actualiza a 1.35.36

Local File Inclusion (LFI) via URI Fragment Parsing in mlflow/mlflow

A Local File Inclusion (LFI) vulnerability was identified in mlflow/mlflow, specifically in version 2.9.2, which was fixed in version 2.11.3. This vulnerability arises from the application's failure to properly validate URI fragments for directory traversal sequences such as '../'. An attacker can exploit this flaw by manipulating the fragment part of the URI to read arbitrary files on the local file system, including sensitive files like '/etc/passwd'. The vulnerability is a bypass to a previous patch that only addressed similar manipulation within the URI's query string, highlighting the need for comprehensive validation of all parts of a U

• Actualiza a 2.11.3

SSRF in Langchain Web Research Retriever in langchain-ai/langchain

A Server-Side Request Forgery (SSRF) vulnerability exists in the Web Research Retriever component of langchain-ai/langchain version 0.1.5. The vulnerability arises because the Web Research Retriever does not restrict requests to remote internet addresses, allowing it to reach local addresses. This flaw enables attackers to execute port scans, access local services, and in some scenarios, read instance metadata from cloud environments. The vulnerability is particularly concerning as it can be exploited to abuse the Web Explorer server as a proxy for web attacks on third parties and interact with servers in the local network, including reading

• Actualiza a 0.2.9

Sensitive Data Leakage in sklearn.feature_extraction.text.TfidfVectorizer in scikit-learn/scikit-learn

A sensitive data leakage vulnerability was identified in scikit-learn's TfidfVectorizer, specifically in versions up to and including 1.4.1.post1, which was fixed in version 1.5.0. The vulnerability arises from the unexpected storage of all tokens present in the training data within the `stop_words_` attribute, rather than only storing the subset of tokens required for the TF-IDF technique to function. This behavior leads to the potential leakage of sensitive information, as the `stop_words_` attribute could contain tokens that were meant to be discarded and not stored, such as passwords or keys. The impact of this vulnerability varies based

• Actualiza a 1.5.0

Improper Authorization in zenml-io/zenml

An improper authorization vulnerability exists in the zenml-io/zenml repository, specifically within the API PUT /api/v1/users/id endpoint. This vulnerability allows any authenticated user to modify the information of other users, including changing the `active` status of user accounts to false, effectively deactivating them. This issue affects version 0.55.3 and was fixed in version 0.56.2. The impact of this vulnerability is significant as it allows for the deactivation of admin accounts, potentially disrupting the functionality and security of the application.

• Actualiza a 0.56.2

Blind SQL Injection in berriai/litellm

A blind SQL injection vulnerability exists in the berriai/litellm application, specifically within the '/team/update' process. The vulnerability arises due to the improper handling of the 'user_id' parameter in the raw SQL query used for deleting users. An attacker can exploit this vulnerability by injecting malicious SQL commands through the 'user_id' parameter, leading to potential unauthorized access to sensitive information such as API keys, user information, and tokens stored in the database. The affected version is 1.27.14.

Stored XSS in zenml-io/zenml

A stored Cross-Site Scripting (XSS) vulnerability was identified in the zenml-io/zenml repository, specifically within the 'logo_url' field. By injecting malicious payloads into this field, an attacker could send harmful messages to other users, potentially compromising their accounts. The vulnerability affects version 0.55.3 and was fixed in version 0.56.2. The impact of exploiting this vulnerability could lead to user account compromise.

• Actualiza a 0.56.2

SQL Injection in berriai/litellm

An SQL Injection vulnerability exists in the berriai/litellm repository, specifically within the `/global/spend/logs` endpoint. The vulnerability arises due to improper neutralization of special elements used in an SQL command. The affected code constructs an SQL query by concatenating an unvalidated `api_key` parameter directly into the query, making it susceptible to SQL Injection if the `api_key` contains malicious data. This issue affects the latest version of the repository. Successful exploitation of this vulnerability could lead to unauthorized access, data manipulation, exposure of confidential information, and denial of service (DoS)

• Actualiza a 1.40.0

Remote Code Execution due to Full Controlled File Write in mlflow/mlflow

A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the `mlflow.data.http_dataset_source.py` module. Specifically, when loading a dataset from a source URL with an HTTP scheme, the filename extracted from the `Content-Disposition` header or the URL path is used to generate the final file path without proper sanitization. This flaw enables an attacker to control the file path fully by utilizing path traversal or absolute path techniques, such as '../../tmp/poc.txt' or '/tmp/poc.txt', leading to arbitrary file write.

• Actualiza a 2.9.0

Improper Authentication in zenml-io/zenml

An issue was discovered in zenml-io/zenml versions up to and including 0.55.4. Due to improper authentication mechanisms, an attacker with access to an active user session can change the account password without needing to know the current password. This vulnerability allows for unauthorized account takeover by bypassing the standard password change verification process. The issue was fixed in version 0.56.3.

• Actualiza a 0.56.3