Security vulnerabilities, privacy incidents, safety concerns, and policy updates affecting LLMs and AI agents.
A vulnerability (CVE-2026-7846) exists in Langchain-Chatchat versions up to 0.3.1.3 in the OpenAI-Compatible File Upload API. The flaw involves a time-of-check time-of-use bug (a race condition where a file is checked for safety, then modified before it's actually used), triggered by manipulating the file.filename argument, though it requires local network access and is difficult to exploit.
A vulnerability (CVE-2026-7845) was discovered in Langchain-Chatchat version 0.3.1.3 and earlier, affecting a function that handles pasting images in the chat interface. An attacker on the same local network could exploit this flaw by manipulating image data to cause weak cryptographic hashing (weak hash, a security measure that's easy to break), though the attack is difficult to execute and requires significant technical skill.
A vulnerability in Langchain-Chatchat (a chatbot framework) up to version 0.3.1.3 allows attackers on the same local network to access file operations without authentication (missing authentication, meaning no login check). The vulnerability affects file-related functions like listing, retrieving, and deleting files, and the exploit code is now publicly available.
The GeekyBot WordPress plugin (up to version 1.2.0) has a SQL injection vulnerability (a type of attack where hackers insert malicious database commands into user input) in the 'attributekey' parameter. Because the plugin doesn't properly clean user input or secure its database queries, unauthenticated attackers can add extra SQL commands to extract sensitive data from the site's database.
Between February and April 2026, the ogham-mcp package accidentally published 22 versions on PyPI (the Python package repository) with embedded credentials, including database passwords for Neon postgres (a database service) and a Voyage AI API key (a token that grants access to an AI service). No evidence of actual misuse was found, and all credentials have been rotated by the maintainers.
Titra, an open source time tracking application, has a vulnerability in version 0.99.52 where the globalsettings Meteor publication (a feature that broadcasts data to connected users) exposes sensitive configuration information like API keys without checking if the user has admin permissions. Any authenticated user (someone logged into the system) can access these secrets through DDP (the protocol Meteor uses to send data to clients).
Apache OpenNLP has a vulnerability where three methods in AbstractModelReader read count values from binary model files without checking if they're reasonable, allowing an attacker to trigger an OOM error (a crash caused by the program running out of memory) by creating a malicious .bin file with an extremely large count value. This denial of service (making a service unavailable) attack requires minimal file size and crashes the Java virtual machine early during model loading.
Evolver, a self-evolving engine for AI agents, had a prototype pollution vulnerability (a bug where attackers inject malicious properties into core JavaScript objects) in versions before 1.69.3. The flaw existed in functions that merged user data without blocking dangerous keys like __proto__ and constructor, allowing attackers to modify how all JavaScript objects behave.
Evolver, a tool that helps AI agents improve themselves, had a command injection vulnerability (a security flaw where attackers trick the system into running unauthorized commands) in versions before 1.69.3. The flaw was in the _extractLLM() function, which built shell commands using simple string concatenation without cleaning the input first, allowing attackers to execute arbitrary commands on the server when certain input contained shell metacharacters (special characters that have meaning to the command system).
Evolver, a GEP-powered self-evolving engine for AI agents, contained a path traversal vulnerability (a type of attack where an attacker manipulates file paths to access files outside their intended directory) in versions before 1.69.3. The vulnerability was in the skill download command's --out= flag, which did not validate user-provided file paths, allowing attackers to write files to any location on the system, potentially overwriting critical files.
Ollama versions before 0.17.1 have a heap out-of-bounds read vulnerability (a bug where code reads memory outside its intended boundaries) in the GGUF model loader (the component that loads GGUF files, a machine learning model format). An attacker can upload a malicious GGUF file through the /api/create endpoint (an unprotected interface) with fake tensor size information, causing the server to read beyond the file's actual data and leak sensitive information like API keys and user conversations, which can then be stolen through the /api/push endpoint.
A code injection vulnerability (CVE-2026-7700) was found in langflow-ai langflow up to version 1.8.4, specifically in the eval function of the LambdaFilterComponent. The vulnerability allows attackers to execute arbitrary code remotely if they have login access, and a working exploit has been publicly released.
A command injection vulnerability (CWE-77, a flaw where attackers can insert malicious commands into input) was found in Langflow AI's langflow software up to version 1.8.4, specifically in the CodeParser.parse_callable_details function. An attacker with login credentials can remotely execute this vulnerability, and it has already been publicly disclosed. The vendor was notified but did not respond.
A vulnerability (CVE-2026-7669) was found in SGLang, an open-source project, affecting versions up to 0.5.9. The flaw is in the get_tokenizer function and allows deserialization (converting untrusted data into executable objects), which can be exploited remotely, though it requires high complexity to execute. The vulnerability has a CVSS score (a 0-10 severity rating) of 6.3, classified as medium severity.
A vulnerability (CVE-2026-7644) was found in ChatGPTNextWeb NextChat version 2.16.1 and earlier, affecting the addMcpServer function in the app/mcp/actions.ts file. The flaw allows improper authorization (meaning the system fails to correctly verify who should have access to certain features), and it can be exploited remotely by anyone without needing special permissions. The vulnerability has been publicly disclosed, and the developers have been notified but have not yet responded.
ChatGPTNextWeb NextChat versions up to 2.16.1 contain a flaw in its Next.js API endpoint that allows attackers to manipulate a function and create a permissive cross-domain policy with untrusted domains (meaning the system accepts requests from any website, not just trusted ones). The attack can be launched remotely, an exploit has been published, but the project developers have not yet responded to the early notification.
IBM Langflow Desktop versions 1.0.0 through 1.8.4 contains a code injection vulnerability (CWE-94, a flaw where attackers can insert and execute their own code) that allows attackers to run arbitrary commands (any commands an attacker chooses) with the same permissions as the Langflow application. This could let attackers steal sensitive information like API keys and database passwords, modify files, or attack other systems on the network.
IBM Langflow OSS (open-source software) versions 1.0.0 through 1.8.4 has a vulnerability where any user can view and delete other users' data by supplying a flow_id (a reference number for a workflow). This happens because the system doesn't properly check who should be allowed to access certain information, allowing unauthorized access to transaction logs and build data.
IBM Langflow Desktop version 1.8.4 and earlier has a path traversal vulnerability (CWE-22, a flaw that lets attackers access files outside intended directories) that allows remote attackers to view arbitrary files on a system by sending specially crafted URLs containing "dot dot" sequences (/../), which trick the system into navigating to restricted folders.
Fix: Upgrade to v0.11.1 immediately by running: pip install --upgrade "ogham-mcp>=0.11.1". This version removes the leaked credentials and adds automated scanning to prevent future credential leaks. Users do not need to rotate credentials on their own end, as the exposed credentials belonged to the project maintainers, not to users.
GitHub Advisory DatabaseFix: 2.x users should upgrade to 2.5.9. 3.x users should upgrade to 3.0.0-M3. The fix adds an upper bound check (default 10,000,000) on the three count fields before array allocation; values that are negative or exceed the bound throw an IllegalArgumentException and fail safely. Users who cannot upgrade immediately should treat all .bin model files as untrusted input unless their origin is verified, and avoid loading models from end users or third-party repositories without integrity checks. Deployments needing higher limits can set the OPENNLP_MAX_ENTRIES system property at JVM startup (e.g., -DOPENNLP_MAX_ENTRIES=50000000).
NVD/CVE DatabaseFix: Update to version 1.69.3, where this issue has been patched.
NVD/CVE DatabaseFix: This issue has been patched in version 1.69.3. Users should upgrade to version 1.69.3 or later.
NVD/CVE DatabaseFix: This issue has been patched in version 1.69.3. Users should upgrade to version 1.69.3 or later.
NVD/CVE DatabaseFix: Update Ollama to version 0.17.1 or later.
NVD/CVE DatabaseCISA and international cybersecurity partners released guidance for organizations adopting agentic AI (AI systems that can take actions autonomously on behalf of users). The guidance identifies security challenges with these systems and provides steps for safely designing, deploying, and operating them while connecting AI risk management to existing cybersecurity practices.