AI Sec Watch

LibreChat (a ChatGPT alternative with extra features) versions 0.8.2-rc2 through 0.8.2 have a vulnerability that allows attackers to access internal systems through SSRF (server-side request forgery, where an attacker tricks a server into making requests to resources it shouldn't access). Even though a previous SSRF fix was applied, it only checked domain names and didn't verify whether those names actually point to private IP addresses (internal network addresses), leaving the system exposed.

LibreChat, a ChatGPT alternative with extra features, has a security flaw in versions before 0.8.3 where a function called `isPrivateIP()` fails to recognize IPv4-mapped IPv6 addresses (IPv6 addresses that contain IPv4 address information) in a certain format, allowing logged-in users to bypass SSRF protection (SSRF is server-side request forgery, where an attacker tricks a server into making requests to internal networks it shouldn't access). This could let attackers access sensitive internal resources like cloud metadata services and private networks.

LangChain Core has a path traversal vulnerability (a security flaw where attackers can access files outside intended directories using '../' sequences or absolute paths) in legacy functions that load prompt configurations from files. When an application accepts user-influenced prompt configs and passes them to `load_prompt()` or `load_prompt_from_config()`, attackers can read arbitrary files like secret credentials or configuration files, though they're limited to specific file types (.txt, .json, .yaml).

Langflow had a vulnerability where the code checking if a user owned a flow was missing when authentication was enabled, allowing any authenticated user to read, modify, or delete flows belonging to other users, including stealing embedded API keys. The fix removes the conditional logic and always checks that the requesting user owns the flow before allowing any operation.

The @mobilenext/mobile-mcp package has a path traversal vulnerability (a security flaw where an attacker can write files outside the intended directory by using special path characters like `../`) in its `mobile_save_screenshot` and `mobile_start_screen_recording` tools. The `saveTo` and `output` parameters are passed directly to file-writing functions without checking if the paths are valid, allowing an attacker to write files anywhere on the system.

The Azure Data Explorer MCP Server (adx-mcp-server) has KQL injection vulnerabilities (a type of code injection where untrusted input is inserted into database queries) in three tools that inspect database tables. Because the `table_name` parameter is directly inserted into Kusto queries (Azure's query language) using f-strings without checking or cleaning the input, an attacker or a prompt-injected AI agent can execute arbitrary database commands, including reading sensitive data or deleting tables.

Large data centers that power AI systems require massive amounts of electricity and resources, creating conflicts with communities, power grids, and the environment worldwide. Tech companies are expanding these facilities rapidly, leading to legal battles, environmental concerns, and pushback from local communities over issues like electricity costs, water usage, and pollution.

n8n, a workflow automation tool, has an XSS vulnerability (cross-site scripting, where malicious code runs in a user's browser) in its credential management system. An authenticated user could hide JavaScript in an OAuth2 credential's Authorization URL field, and if another user clicks the OAuth authorization button, that malicious script executes in their browser session.

n8n versions before 1.123.27, 2.13.3, and 2.14.1 have a stored XSS (cross-site scripting, where attackers inject malicious code that runs when others visit a page) vulnerability in the Chat Trigger node's Custom CSS field. An authenticated user could bypass the sanitize-html library (a tool meant to remove dangerous code) and inject malicious JavaScript that would affect anyone visiting the public chat page.