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CWE-502 Deserialization of Untrusted Data at the eventmesh-meta-raft plugin module in Apache EventMesh master branch without release version on windows\linux\mac os e.g. platforms allows attackers to send controlled message and remote code execute via hessian deserialization rpc protocol. Users can use the code under the master branch in project repo or version 1.11.0 to fix this issue.

## Description Label Studio's S3 storage integration feature contains a Server-Side Request Forgery (SSRF) vulnerability in its endpoint configuration. When creating an S3 storage connection, the application allows users to specify a custom S3 endpoint URL via the s3_endpoint parameter. This endpoint URL is passed directly to the boto3 AWS SDK without proper validation or restrictions on the protocol or destination. The vulnerability allows an attacker to make the application send HTTP requests to arbitrary internal services by specifying them as the S3 endpoint. When the storage sync operation is triggered, the application attempts to make S3 API calls to the specified endpoint, effectively making HTTP requests to the target service and returning the response in error messages. This SSRF vulnerability enables attackers to bypass network segmentation and access internal services that should not be accessible from the external network. The vulnerability is particularly severe because ...

## Description Label Studio's `/projects/upload-example` endpoint allows injection of arbitrary HTML through a `GET` request with an appropriately crafted `label_config` query parameter. By crafting a specially formatted XML label config with inline task data containing malicious HTML/JavaScript, an attacker can achieve Cross-Site Scripting (XSS). While the application has a Content Security Policy (CSP), it is only set in report-only mode, making it ineffective at preventing script execution. The vulnerability exists because the upload-example endpoint renders user-provided HTML content without proper sanitization on a GET request. This allows attackers to inject and execute arbitrary JavaScript in victims' browsers by getting them to visit a maliciously crafted URL. This is considered vulnerable because it enables attackers to execute JavaScript in victims' contexts, potentially allowing theft of sensitive data, session hijacking, or other malicious actions. ## Steps to reproduce ...

## Description A path traversal vulnerability in Label Studio SDK versions prior to 1.0.10 allows unauthorized file access outside the intended directory structure. Label Studio versions before 1.16.0 specified SDK versions prior to 1.0.10 as dependencies, and the issue was confirmed in Label Studio version 1.13.2.dev0; therefore, Label Studio users should upgrade to 1.16.0 or newer to mitigate it. The flaw exists in the VOC, COCO and YOLO export functionalites. These functions invoke a `download` function on the `label-studio-sdk` python package, which fails to validate file paths when processing image references during task exports: ```python def download( url, output_dir, filename=None, project_dir=None, return_relative_path=False, upload_dir=None, download_resources=True, ): is_local_file = url.startswith("/data/") and "?d=" in url is_uploaded_file = url.startswith("/data/upload") if is_uploaded_file: upload_dir = _get_upload_dir(pr...

Companies pursing internal AI development using models from Hugging Face and other open source repositories need to focus on supply chain security and checking for vulnerabilities.

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The China-sponsored state espionage group has exploited known, older bugs in Cisco gear for successful cyber intrusions on six continents in the past two months.

Romance-baiting losses were up 40% last year, as more and more pig-butchering efforts crop up in the wild.

In Apache Ignite versions from 2.6.0 and before 2.17.0, configured Class Serialization Filters are ignored for some Ignite endpoints. The vulnerability could be exploited if an attacker manually crafts an Ignite message containing a vulnerable object whose class is present in the Ignite server classpath and sends it to Ignite server endpoints. Deserialization of such a message by the Ignite server may result in the execution of arbitrary code on the Apache Ignite server side.

Social engineering is advancing fast, at the speed of generative AI. This is offering bad actors multiple new tools and techniques for researching, scoping, and exploiting organizations. In a recent communication, the FBI pointed out: ‘As technology continues to evolve, so do cybercriminals' tactics.’ This article explores some of the impacts of this GenAI-fueled acceleration. And examines what