CVEs

Tenda AX12 v22.03.01.46_CN was discovered to contain a stack overflow via the sub_42F69C function at /goform/setMacFilterCfg.

A vulnerability allowing remote code execution (RCE) for domain users.

Tenda AC8V4.0 V16.03.34.06 was discovered to contain a stack overflow via the deviceid parameter in the get_parentControl_list_Info function.

The File Away plugin for WordPress is vulnerable to unauthorized access of data due to a missing capability check on the ajax() function in all versions up to, and including, 3.9.9.0.1. This makes it possible for unauthenticated attackers, leveraging the use of a reversible weak algorithm, to read the contents of arbitrary files on the server, which can contain sensitive information.

The Order Export & Order Import for WooCommerce plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 2.6.0 via the validate_file() function. This makes it possible for authenticated attackers, with Administrator-level access and above, to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services.

The Order Export & Order Import for WooCommerce plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 2.6.0 via deserialization of untrusted input from the 'form_data' parameter. This makes it possible for authenticated attackers, with Administrator-level access and above, to inject a PHP Object. No known POP chain is present in the vulnerable software, which means this vulnerability has no impact unless another plugin or theme containing a POP chain is

The NP Quote Request for WooCommerce plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 1.9.179 due to missing validation on a user controlled key. This makes it possible for unauthenticated attackers to read the content of quote requests.

A vulnerability in langgenius/dify v0.10.1 allows an attacker to take over any account, including administrator accounts, by exploiting a weak pseudo-random number generator (PRNG) used for generating password reset codes. The application uses `random.randint` for this purpose, which is not suitable for cryptographic use and can be cracked. An attacker with access to workflow tools can extract the PRNG output and predict future password reset codes, leading to a complete compromise of the applic

A Cross-Site Request Forgery (CSRF) vulnerability exists in the Signup feature of mlflow/mlflow versions 2.17.0 to 2.20.1. This vulnerability allows an attacker to create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.

A vulnerability in parisneo/lollms-webui v13 arises from the server's handling of multipart boundaries in file uploads. The server does not limit or validate the length of the boundary or the characters appended to it, allowing an attacker to craft requests with excessively long boundaries, leading to resource exhaustion and eventual denial of service (DoS). Despite an attempted patch in commit 483431bb, which blocked hyphen characters from being appended to the multipart boundary, the fix is in

AutoGPT versions 0.3.4 and earlier are vulnerable to a Server-Side Template Injection (SSTI) that could lead to Remote Code Execution (RCE). The vulnerability arises from the improper handling of user-supplied format strings in the `AgentOutputBlock` implementation, where malicious input is passed to the Jinja2 templating engine without adequate security measures. Attackers can exploit this flaw to execute arbitrary commands on the host system. The issue is fixed in version 0.4.0.

An improper authorization vulnerability exists in the main-latest version of BerriAI/litellm. When a user with the role 'internal_user_viewer' logs into the application, they are provided with an overly privileged API key. This key can be used to access all the admin functionality of the application, including endpoints such as '/users/list' and '/users/get_users'. This vulnerability allows for privilege escalation within the application, enabling any account to become a PROXY ADMIN.

A Server-Side Request Forgery (SSRF) vulnerability was identified in the Requests utility of significant-gravitas/autogpt versions prior to v0.4.0. The vulnerability arises due to a hostname confusion between the `urlparse` function from the `urllib.parse` library and the `requests` library. A malicious user can exploit this by submitting a specially crafted URL, such as `http://localhost:\@google.com/../`, to bypass the SSRF check and perform an SSRF attack.

In mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the application unable to respond to other requests. This vulnerability is due to uncontrolled resource consumption.

eosphoros-ai/DB-GPT version latest is vulnerable to arbitrary file deletion on Windows systems via the '/v1/agent/hub/update' endpoint. The application fails to properly filter the '\' character, which is commonly used as a separator in Windows paths. This vulnerability allows attackers to delete any files on the host system by manipulating the 'plugin_repo_name' variable.

In berriai/litellm version v1.52.1, an issue in proxy_server.py causes the leakage of Langfuse API keys when an error occurs while parsing team settings. This vulnerability exposes sensitive information, including langfuse_secret and langfuse_public_key, which can provide full access to the Langfuse project storing all requests.

A vulnerability in ollama/ollama versions <=0.3.14 allows a malicious user to upload and create a customized GGUF model file on the Ollama server. This can lead to a division by zero error in the ggufPadding function, causing the server to crash and resulting in a Denial of Service (DoS) attack.

A vulnerability in ollama/ollama <=0.3.14 allows a malicious user to create a customized GGUF model file, upload it to the Ollama server, and create it. This can cause the server to allocate unlimited memory, leading to a Denial of Service (DoS) attack.