Security vulnerabilities, privacy incidents, safety concerns, and policy updates affecting LLMs and AI agents.
CVE-2024-40441 is a privilege escalation vulnerability (a bug that lets attackers gain higher-level access than they should have) in Doccano v.1.8.4, an open source tool for labeling data to train machine learning models, and its Auto Labeling Pipeline module v.0.1.23. A remote attacker can exploit this by manipulating the model_attribs parameter to escalate their privileges.
LangChain Experimental versions 0.1.17 through 0.3.0 contain a vulnerability that allows attackers to execute arbitrary code (run malicious commands on a system) through a component called LLMSymbolicMathChain, which uses sympy.sympify (a function that evaluates mathematical expressions in an unsafe way). The root cause is improper input validation (failing to check that user input is safe before processing it).
A vulnerability in the ilab model serve component allows attackers to cause a Denial of Service (DoS, where a service becomes unavailable to legitimate users) by sending a large value for the best_of parameter to the vllm JSON web API (a web interface for accessing an LLM). The API doesn't properly manage timeouts or resource limits, so an attacker can exhaust system resources and crash the service.
CVE-2024-8768 is a bug in vLLM (a library for running large language models) where sending an API request with an empty prompt crashes the server, causing a denial of service (making the service unavailable to users). The flaw is classified as a reachable assertion vulnerability, meaning the code hits an unexpected condition it wasn't designed to handle.
A vulnerability in langchain's FAISS.deserialize_from_bytes function allows deserialization of untrusted data using pickle (a Python library that converts data into a format that can be stored or transmitted), which can lead to arbitrary command execution through the os.system function. This affects the latest version of the product and is classified as CWE-502 (deserialization of untrusted data).
MindsDB versions 23.12.4.0 through 24.7.4.1 contain an arbitrary code execution vulnerability (the ability to run unwanted commands on a server) when the ChromaDB integration is installed. An attacker can craft a malicious 'INSERT' query containing Python code that gets executed on the server because the code is passed to an eval function (a function that runs text as if it were code).
MindsDB versions 23.10.3.0 through 24.7.4.1 have a vulnerability that allows arbitrary code execution (running unauthorized commands on a server) when the Weaviate integration is installed. An attacker can exploit this by crafting a malicious SQL SELECT WHERE clause containing Python code, which gets executed through an eval function (a function that interprets and runs code as if it were written in the program).
CVE-2024-45855 is a vulnerability in MindsDB (a platform for building AI applications) versions 23.10.2.0 and newer where deserialization of untrusted data (converting data from an external format into code without checking if it's safe) can occur. An attacker can upload a malicious 'inhouse' model and use the 'finetune' feature to run arbitrary code (any commands they want) on the server.
CVE-2024-45854 is a vulnerability in MindsDB (a platform for building AI applications) versions 23.10.3.0 and newer where deserialization of untrusted data (converting data from an external format back into executable code without checking if it's safe) allows an attacker to upload a malicious model that runs arbitrary code (any commands the attacker wants) on the server when a describe query is executed on it.
CVE-2024-45853 is a vulnerability in MindsDB (a platform for building AI applications) versions 23.10.2.0 and newer where deserialization of untrusted data (the process of converting received data back into usable objects without checking if it's safe) allows an attacker to upload a malicious model that runs arbitrary code on the server when making predictions. This is a serious flaw because it gives attackers full control to execute whatever commands they want on the affected system.
CVE-2024-45852 is a vulnerability in MindsDB (a platform for building AI applications) versions 23.3.2.0 and newer that allows deserialization of untrusted data (converting untrusted incoming data back into executable code). An attacker can upload a malicious model that runs arbitrary code (any commands they choose) on the server when someone interacts with it.
A security flaw was found in the Chatbot with ChatGPT WordPress plugin (versions before 2.4.5) where certain REST routes (endpoints that external programs use to interact with the plugin) did not properly check user permissions, allowing anyone without logging in to delete error and chat logs.
A WordPress plugin called Chatbot Support AI (versions up to 1.0.2) has a security flaw where it fails to properly clean and filter certain settings, allowing admin users to inject malicious code through stored cross-site scripting (XSS, a type of attack where harmful scripts are saved and executed when users view a page). This vulnerability is particularly dangerous because it works even in multisite setups where HTML code is normally restricted.
CVE-2024-7110 is a vulnerability in GitLab EE (a code management platform) versions 17.0 through 17.3 that allows an attacker to execute arbitrary commands (run code of their choice) in a victim's pipeline through prompt injection (tricking the system by hiding malicious instructions in user input). This vulnerability affects multiple recent versions of the software.
Khoj, an application that creates personal AI agents, has a vulnerability in its Automation feature where users can insert arbitrary HTML and JavaScript code through the q parameter of the /api/automation endpoint due to improper input sanitization (a security flaw called stored XSS, where malicious code gets saved and runs when the page loads). This allows attackers to inject harmful code that affects other users viewing the page.
The Chatbot with ChatGPT WordPress plugin before version 2.4.5 has a SQL injection vulnerability (a type of attack where malicious code is inserted into database queries), which can be exploited by anyone without needing to log in when they submit messages to the chatbot. The plugin fails to properly sanitize and escape a parameter, meaning it doesn't clean or protect user input before using it in a SQL statement.
The Chatbot with ChatGPT WordPress plugin before version 2.4.5 has a vulnerability where it does not properly clean and escape user inputs, allowing attackers to perform Stored Cross-Site Scripting attacks (XSS, a type of attack where malicious code gets saved and runs when admins view it) without needing to be logged in.
Streamlit (a Python framework for building data applications) had a path traversal vulnerability (a flaw that lets attackers access files outside their intended directory) in its static file sharing feature on Windows. An attacker could exploit this to steal the password hash (an encrypted version of a password) of the Windows user running Streamlit.
Fix: A patch is available at https://github.com/langchain-ai/langchain/commit/604dfe2d99246b0c09f047c604f0c63eafba31e7
NVD/CVE DatabaseCVE-2024-6587 is a server-side request forgery vulnerability (SSRF, a flaw that tricks a server into making requests to unintended locations) in litellm version 1.38.10 that lets users control where the application sends requests by setting the `api_base` parameter, potentially allowing attackers to intercept sensitive OpenAI API keys. A malicious user could redirect requests to their own domain and steal the API key, gaining unauthorized access to the OpenAI service.
Fix: A patch is available at https://github.com/berriai/litellm/commit/ba1912afd1b19e38d3704bb156adf887f91ae1e0
NVD/CVE DatabaseFix: Update the Chatbot with ChatGPT WordPress plugin to version 2.4.5 or later.
NVD/CVE DatabaseOllama before version 0.1.47 has a vulnerability in its extractFromZipFile function where it can extract files from a ZIP archive outside of the intended parent directory, a weakness called path traversal (CWE-22, where an attacker manipulates file paths to access directories they shouldn't). This could allow an attacker to write files to unintended locations on a system when processing a specially crafted ZIP file.
Fix: Update Ollama to version 0.1.47 or later. The fix is available in the comparison between v0.1.46 and v0.1.47 (https://github.com/ollama/ollama/compare/v0.1.46...v0.1.47) and was implemented in pull request #5314 (https://github.com/ollama/ollama/pull/5314).
NVD/CVE DatabaseFix: This vulnerability is fixed in version 1.15.0.
NVD/CVE DatabaseFix: Update the Chatbot with ChatGPT WordPress plugin to version 2.4.5 or later.
NVD/CVE DatabaseFix: The vulnerability was patched on Jul 25, 2024, as part of Streamlit open source version 1.37.0.
NVD/CVE Database