#git

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.

Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe. This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over template variables.

Improper Input Validation vulnerability in Apache DolphinScheduler. An authenticated user can cause arbitrary, unsandboxed JavaScript to be executed on the server. This issue is a legacy of CVE-2023-49299. We didn't fix it completely in CVE-2023-49299, and we added one more patch to fix it. This issue affects Apache DolphinScheduler: until 3.2.1. Users are recommended to upgrade to version 3.2.1, which fixes the issue.

Versions of the package onnx before and including 1.15.0 are vulnerable to Directory Traversal as the external_data field of the tensor proto can have a path to the file which is outside the model current directory or user-provided directory. The vulnerability occurs as a bypass for the patch added for CVE-2022-25882.

### Impact Paths checks with the `resolveSafeChildPath` utility were not exhaustive enough, leading to risk of path traversal vulnerabilities if symlinks can be injected by attackers. ### Patches Patched in `@backstage/backend-common` version `0.21.1`. Patched in `@backstage/backend-common` version `0.20.2`. Patched in `@backstage/backend-common` version `0.19.10`. ### For more information If you have any questions or comments about this advisory: - Open an issue in the [Backstage repository](https://github.com/backstage/backstage) - Visit our Discord, linked to in [Backstage README](https://github.com/backstage/backstage)

Time to get patching!

By Deeba Ahmed In 2024, over 60 countries worldwide are holding elections. The most significant threat to the integrity of these elections? Deepfake videos, readily accessible on the dark web and Telegram, with prices ranging from as low as $2 to $100. This is a post from HackRead.com Read the original post: Deepfake Threat: $2 Deceptive Content Undermines Election Integrity

Applications that use UriComponentsBuilder to parse an externally provided URL (e.g. through a query parameter) AND perform validation checks on the host of the parsed URL may be vulnerable to a open redirect attack or to a SSRF attack if the URL is used after passing validation checks.

The ACME-challenge endpoint in Appwrite 0.5.0 through 0.12.x before 0.12.2 allows remote attackers to read arbitrary local files via ../ directory traversal. In order to be vulnerable, `APP_STORAGE_CERTIFICATES/.well-known/acme-challenge` must exist on disk. (This pathname is automatically created if the user chooses to install Let's Encrypt certificates via Appwrite.)

### Impact This security policy is with regards to a timing attack that allows users of Gradio apps to potentially guess the password of password-protected Gradio apps. This relies on the fact that string comparisons in Python terminate early, as soon as there is a string mismatch. Because Gradio apps are, by default, not rate-limited, a user could brute-force millions of guesses to figure out the correct username and password. ### Patches Yes, the problem has been patched in Gradio version 4.19.2 or higher. We have no knowledge of this exploit being used against users of Gradio applications, but we encourage all users to upgrade to Gradio 4.19.2 or higher. Fixed in: https://github.com/gradio-app/gradio/commit/e329f1fd38935213fe0e73962e8cbd5d3af6e87b