| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| In Eclipse Foundation NextX Duo before 6.4.4, a module of ThreadX, the _nx_secure_tls_process_clienthello() function was missing length verification of
certain SSL/TLS client hello message: the ciphersuite length and
compression method length. In case of an attacker-crafted message with
values outside of the expected range, it could cause an out-of-bound
read. |
| Flask-AppBuilder is an application development framework. Prior to version 4.5.1, the auth DB login form default cache directives allows browser to locally store sensitive data. This can be an issue on environments using shared computer resources. Version 4.5.1 contains a patch for this issue. If upgrading is not possible, configure one's web server to send the specific HTTP headers for `/login` per the directions provided in the GitHub Security Advisory. |
| In NetX Duo version before 6.4.4, the component of Eclipse Foundation ThreadX, there was a potential out of bound read in _nx_secure_tls_process_clienthello() because of a missing validation of PSK length provided in the user message. |
| 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 application. |
| A Server-Side Request Forgery (SSRF) vulnerability was discovered in gaizhenbiao/chuanhuchatgpt version 20240914. The vulnerability allows an attacker to construct a response link by saving the response in a folder named after the SHA-1 hash of the target URL. This enables the attacker to access the response directly, potentially leading to unauthorized access to internal systems, data theft, service disruption, or further attacks such as port scanning and accessing metadata endpoints. |
| A Cross-Site Request Forgery (CSRF) vulnerability in haotian-liu/llava v1.2.0 (LLaVA-1.6) allows an attacker to upload files with malicious content without authentication or user interaction. The uploaded file is stored in a predictable path, enabling the attacker to execute arbitrary JavaScript code in the context of the victim's browser by visiting the crafted file URL. This can lead to theft of sensitive information, session hijacking, or other actions compromising the security and privacy of the victim. |
| In composiohq/composio version 0.5.10, the API does not validate the `x-api-key` header's value during the authentication step. This vulnerability allows an attacker to bypass authentication by providing any random value in the `x-api-key` header, thereby gaining unauthorized access to the server. |
| A path traversal vulnerability exists in the save-workflow and load-workflow functionality of modelscope/agentscope versions prior to the fix. This vulnerability allows an attacker to read and write arbitrary JSON files on the filesystem, potentially leading to the exposure or modification of sensitive information such as configuration files, API keys, and hardcoded passwords. |
| A vulnerability in the GraphCypherQAChain class of langchain-ai/langchain version 0.2.5 allows for SQL injection through prompt injection. This vulnerability can lead to unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database. |
| A vulnerability in the GraphCypherQAChain class of langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database. |
| In h2oai/h2o-3 version 3.46.0, an endpoint exposing a custom EncryptionTool allows an attacker to encrypt any files on the target server with a key of their choosing. The chosen key can also be overwritten, resulting in ransomware-like behavior. This vulnerability makes it possible for an attacker to encrypt arbitrary files with keys of their choice, making it exceedingly difficult for the target to recover the keys needed for decryption. |
| Gunicorn version 21.2.0 does not properly validate the value of the 'Transfer-Encoding' header as specified in the RFC standards, which leads to the default fallback method of 'Content-Length,' making it vulnerable to TE.CL request smuggling. This vulnerability can lead to cache poisoning, data exposure, session manipulation, SSRF, XSS, DoS, data integrity compromise, security bypass, information leakage, and business logic abuse. |
| 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. |
| An open redirect vulnerability exists in the gradio-app/gradio, affecting the latest version. The vulnerability allows an attacker to redirect users to arbitrary websites, which can be exploited for phishing attacks, Cross-site Scripting (XSS), Server-Side Request Forgery (SSRF), amongst others. This issue is due to improper validation of user-supplied input in the handling of URLs. Attackers can exploit this vulnerability by crafting a malicious URL that, when processed by the application, redirects the user to an attacker-controlled web page. |
| A Denial-of-Service (DoS) vulnerability exists in the `SitemapLoader` class of the `langchain-ai/langchain` repository, affecting all versions. The `parse_sitemap` method, responsible for parsing sitemaps and extracting URLs, lacks a mechanism to prevent infinite recursion when a sitemap URL refers to the current sitemap itself. This oversight allows for the possibility of an infinite loop, leading to a crash by exceeding the maximum recursion depth in Python. This vulnerability can be exploited to occupy server socket/port resources and crash the Python process, impacting the availability of services relying on this functionality. |
| A Cross-Site Request Forgery (CSRF) vulnerability exists in the profile picture upload functionality of the Lollms application, specifically in the parisneo/lollms-webui repository, affecting versions up to 7.3.0. This vulnerability allows attackers to change a victim's profile picture without their consent, potentially leading to a denial of service by overloading the filesystem with files. Additionally, this flaw can be exploited to perform a stored cross-site scripting (XSS) attack, enabling attackers to execute arbitrary JavaScript in the context of the victim's browser session. The issue is resolved in version 9.3. |
| In binary-husky/gpt_academic version <= 3.83, the plugin `CodeInterpreter` is vulnerable to code injection caused by prompt injection. The root cause is the execution of user-provided prompts that generate untrusted code without a sandbox, allowing the execution of parts of the LLM-generated code. This vulnerability can be exploited by an attacker to achieve remote code execution (RCE) on the application backend server, potentially gaining full control of the server. |
| A Cross-Site Request Forgery (CSRF) vulnerability in version 3.83 of binary-husky/gpt_academic allows an attacker to trick a user into uploading files without their consent, exploiting their session. This can lead to unauthorized file uploads and potential system compromise. The uploaded file can contain malicious scripts, leading to stored Cross-Site Scripting (XSS) attacks. Through stored XSS, an attacker can steal information about the victim and perform any action on their behalf. |
| wandb/openui latest commit c945bb859979659add5f490a874140ad17c56a5d contains a vulnerability where unauthenticated endpoints allow file uploads and downloads from an AWS S3 bucket. This can lead to multiple security issues including denial of service, stored XSS, and information disclosure. The affected endpoints are '/v1/share/{id:str}' for uploading and '/v1/share/{id:str}' for downloading JSON files. The lack of authentication allows any user to upload and overwrite files, potentially causing the S3 bucket to run out of space, injecting malicious scripts, and accessing sensitive information. |
