pyjwt is a JSON Web Token implementation in Python. An incorrect string comparison is run for `iss` checking, resulting in `"acb"` being accepted for `"_abc_"`. This is a bug introduced in version 2.10.0: checking the "iss" claim changed from `isinstance(issuer, list)` to `isinstance(issuer, Sequence)`. Since str is a Sequnce, but not a list, `in` is also used for string comparison. This results in `if "abc" not in "__abcd__":` being checked instead of `if "abc" != "__abc__":`. Signature checks are still present so real world impact is likely limited to denial of service scenarios. This issue has been patched in version 2.10.1. All users are
check-jsonschema default caching for remote schemas allows for cache confusion
check-jsonschema is a CLI and set of pre-commit hooks for jsonschema validation. The default cache strategy uses the basename of a remote schema as the name of the file in the cache, e.g. `https://example.org/schema.json` will be stored as `schema.json`. This naming allows for conflicts. If an attacker can get a user to run `check-jsonschema` against a malicious schema URL, e.g., `https://example.evil.org/schema.json`, they can insert their own schema into the cache and it will be picked up and used instead of the appropriate schema. Such a cache confusion attack could be used to allow data to pass validation which should have been rejected.
Apache Arrow R package: Arbitrary code execution when loading a malicious data file
Deserialization of untrusted data in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 allows arbitrary code execution. An application is vulnerable if it
reads Arrow IPC, Feather or Parquet data from untrusted sources (for
example, user-supplied input files). This vulnerability only affects the arrow R package, not other Apache Arrow
implementations or bindings unless those bindings are specifically used via the R package (for example, an R application that embeds a Python interpreter and uses PyArrow to read files from untrusted sources is still vulnerable if the arrow R package is an affected version).
Password Policy Bypass Vulnerability in Fides Webserver
Fides is an open-source privacy engineering platform. The user invite acceptance API endpoint lacks server-side password policy enforcement, allowing users to set arbitrarily weak passwords by bypassing client-side validation. While the UI enforces password complexity requirements, direct API calls can circumvent these checks, enabling the creation of accounts with passwords as short as a single character. When an email messaging provider is enabled and a new user account is created in the system, an invite email containing a special link is sent to the new user's email address. This link directs the new user to a page where they can set thei
aiocpa is a user-facing library for generating color gradients of text. Version 0.1.13 introduced obfuscated, malicious code targeting Crypto Pay users, forwarding client credentials to a remote Telegram bot. All versions have been removed from PyPI.
aiocpa is a user-facing library for generating color gradients of text.
Version 0.1.13 introduced obfuscated, malicious code targeting
Crypto Pay users, forwarding client credentials to a remote Telegram bot.
All versions have been removed from PyPI.
Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf
Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the spark_udf() MLflow API is called.
An issue in the upload_documents method of libre-chat v0.0.6 allows attackers to execute a path traversal via supplying a crafted filename in an uploaded file.
In OpenStack Neutron before 25.0.1, neutron/extensions/tagging.py can use an incorrect ID during policy enforcement. It does not apply the proper policy check for changing network tags. An unprivileged tenant is able to change (add and clear) tags on network objects that do not belong to the tenant, and this action is not subjected to the proper policy authorization check. This affects 23 before 23.2.1, 24 before 24.0.2, and 25 before 25.0.1.
virtualenv before 20.26.6 allows command injection through the activation scripts for a virtual environment. Magic template strings are not quoted correctly when replacing. NOTE: this is not the same as CVE-2024-9287.
Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability
Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the handling of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current us
Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability
Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the curre
Alta · CVSS 7.5EPSS 7,72%Código de explotación públicoCorrección disponible
Hugging Face Transformers MobileViTV2 Deserialization of Untrusted Data Remote Code Execution Vulnerability
Hugging Face Transformers MobileViTV2 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the handling of configuration files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the c
Sentry is an error tracking and performance monitoring platform. Version 24.11.0, and only version 24.11.0, is vulnerable to a scenario where a specific error message generated by the Sentry platform could include a plaintext Client ID and Client Secret for an application integration. The Client ID and Client Secret would not be displayed in the UI, but would be returned in the underlying HTTP response to the end user. This could occur under the following conditions: An app installation made use of a Search UI component with the `async` flag set to true (default: true); auser types types into the Search Component which creates a request to th
Tornado is a Python web framework and asynchronous networking library. The algorithm used for parsing HTTP cookies in Tornado versions prior to 6.4.2 sometimes has quadratic complexity, leading to excessive CPU consumption when parsing maliciously-crafted cookie headers. This parsing occurs in the event loop thread and may block the processing of other requests. Version 6.4.2 fixes the issue.
LLama Factory Remote OS Command Injection Vulnerability
LLama Factory enables fine-tuning of large language models. A critical remote OS command injection vulnerability has been identified in the LLama Factory training process. This vulnerability arises from improper handling of user input, allowing malicious actors to execute arbitrary OS commands on the host system. The issue is caused by insecure usage of the `Popen` function with `shell=True`, coupled with unsanitized user input. Immediate remediation is required to mitigate the risk. This vulnerability is fixed in 0.9.1.
A heap-buffer-overflow vulnerability was discovered in the SkipSpacesAndLineEnd function in Assimp v5.4.3. This issue occurs when processing certain malformed MD5 model files, leading to an out-of-bounds read and potential application crash.
Litestar is an Asynchronous Server Gateway Interface (ASGI) framework. Prior to version 2.13.0, the multipart form parser shipped with litestar expects the entire request body as a single byte string and there is no default limit for the total size of the request body. This allows an attacker to upload arbitrary large files wrapped in a `multipart/form-data` request and cause excessive memory consumption on the server. The multipart form parser in affected versions is vulnerable to this type of attack by design. The public method signature as well as its implementation both expect the entire request body to be available as a single byte strin
Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting') vulnerability in django CMS Association django CMS Attributes Fields allows Stored XSS.
This issue affects django CMS Attributes Fields: before 4.0.