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GHSA-v9q6-fm48-rx74: Authentication bypass in 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 the server.

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#vulnerability#git#rce#perl#auth
GHSA-8j42-pcfm-3467: SQL injection in 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.

GHSA-j46q-5pxx-8vmw: Local File Inclusion in 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 URI to prevent LFI attacks.

GHSA-mq73-g4qr-fgcq: Clickjacking in zenml

A clickjacking vulnerability exists in zenml-io/zenml versions up to and including 0.55.5 due to the application's failure to set appropriate X-Frame-Options or Content-Security-Policy HTTP headers. This vulnerability allows an attacker to embed the application UI within an iframe on a malicious page, potentially leading to unauthorized actions by tricking users into interacting with the interface under the attacker's control. The issue was addressed in version 0.56.3.

GHSA-9x88-4jg8-4vf7: Improper authorization in 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.

GHSA-c546-8jmq-hprj: Race condition in 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/test_race, where it could lead to further complications.

GHSA-vwgf-7f9h-h499: Cross site scripting in 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.

GHSA-8f8q-q2j7-7j2m: Undefined Behavior in mlflow

A vulnerability in mlflow/mlflow version 2.11.1 allows attackers to create multiple models with the same name by exploiting URL encoding. This flaw can lead to Denial of Service (DoS) as an authenticated user might not be able to use the intended model, as it will open a different model each time. Additionally, an attacker can exploit this vulnerability to perform data model poisoning by creating a model with the same name, potentially causing an authenticated user to become a victim by using the poisoned model. The issue stems from inadequate validation of model names, allowing for the creation of models with URL-encoded names that are treated as distinct from their URL-decoded counterparts.

GHSA-q25c-c977-4cmh: Server-Side Request Forgery in 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 their response data. This could potentially lead to arbitrary code execution, depending on the nature of the local services. The vulnerability is limited to GET requests, as POST requests are not possible, but the impact on confidentiality, integrity, and availability is significant due to the potential for stolen credentials and state-changing int...

GHSA-3hjh-jh2h-vrg6: Denial of service in 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.