Latest News

In today's networked digital world, application programming interface (API) security is a crucial component in safeguarding private information and strengthening the integrity of online transactions. The potential for attack has increased dramatically as a result of the growing use of applications that depend on APIs to communicate across systems and services.It's also important to protect against malevolent actors who try to take advantage of API vulnerabilities for illegal access, data breaches and service interruptions. Strong API security measures are needed to establish trust, reduce risk

AWS hosted a server linked to the Bezos family- and Nvidia-backed search startup that appears to have been used to scrape the sites of major outlets, prompting an inquiry into potential rules violations.

Data-rich and resource-poor, schools and libraries around the country make attractive targets for cybercriminals looking for an easy score, but a new federal program is looking to aid their defenses by providing much-needed financial support.

In h2oai/h2o-3 version 3.46.0, the `run_tool` command in the `rapids` component allows the `main` function of any class under the `water.tools` namespace to be called. One such class, `MojoConvertTool`, crashes the server when invoked with an invalid argument, causing a denial of service.

A path traversal vulnerability in the `/set_personality_config` endpoint of parisneo/lollms version 9.4.0 allows an attacker to overwrite the `configs/config.yaml` file. This can lead to remote code execution by changing server configuration properties such as `force_accept_remote_access` and `turn_on_code_validation`.

berriai/litellm version 1.34.34 is vulnerable to improper access control in its team management functionality. This vulnerability allows attackers to perform unauthorized actions such as creating, updating, viewing, deleting, blocking, and unblocking any teams, as well as adding or deleting any member to or from any teams. The vulnerability stems from insufficient access control checks in various team management endpoints, enabling attackers to exploit these functionalities without proper authorization.

A path traversal vulnerability exists in the XTTS server included in the lollms package, version v9.6. This vulnerability arises from the ability to perform an unauthenticated root folder settings change. Although the read file endpoint is protected against path traversals, this protection can be bypassed by changing the root folder to '/'. This allows attackers to read arbitrary files on the system. Additionally, the output folders can be changed to write arbitrary audio files to any location on the system.

A vulnerability in the /v1/runs API endpoint of lightning-ai/pytorch-lightning v2.2.4 allows attackers to exploit path traversal when extracting tar.gz files. When the LightningApp is running with the plugin_server, attackers can deploy malicious tar.gz plugins that embed arbitrary files with path traversal vulnerabilities. This can result in arbitrary files being written to any directory in the victim's local file system, potentially leading to remote code execution.

In the latest version of vanna-ai/vanna, the `vanna.ask` function is vulnerable to remote code execution due to prompt injection. The root cause is the lack of a sandbox when executing LLM-generated code, allowing an attacker to manipulate the code executed by the `exec` function in `src/vanna/base/base.py`. This vulnerability can be exploited by an attacker to achieve remote code execution on the app backend server, potentially gaining full control of the server.

BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the `add_deployment` function, which decodes and decrypts environment variables from base64 and assigns them to `os.environ`. An attacker can exploit this by sending a malicious payload to the `/config/update` endpoint, which is then processed and executed by the server when the `get_secret` function is triggered. This requires the server to use Google KMS and a database to store a model.