Zuppler is your all-in-one restaurant solution for revenue growth. Seamlessly sync online and in-store ordering, manage menu updates, orders and deliveries, and boost sales with immersive menus and strategic marketing tools—all from a unified platform.
Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.
Security & Compliance Standards Overview
No incidents recorded for Zuppler in 2026.
Snowflake has 69.49% more incidents than the average of same-industry companies with at least one recorded incident.
Zuppler cyber incidents detection timeline including parent company and subsidiaries
Snowflake cyber incidents detection timeline including parent company and subsidiaries
Last 3 Security & Risk Events by Company
nimiq/core-rs-albatross is a Rust implementation of the Nimiq Proof-of-Stake protocol based on the Albatross consensus algorithm. Prior to version 1.3.0, two peer-facing consensus request handlers assume that the history index is always available and call blockchain.history_store.history_index().unwrap() directly. That assumption is false by construction. HistoryStoreProxy::history_index() explicitly returns None for the valid HistoryStoreProxy::WithoutIndex state. when a full node is syncing or otherwise running without the history index, a remote peer can send RequestTransactionsProof or RequestTransactionReceiptsByAddress and trigger an Option::unwrap() panic on the request path. This issue has been patched in version 1.3.0.
PraisonAI is a multi-agent teams system. Prior to version 1.5.95, FileTools.download_file() in praisonaiagents validates the destination path but performs no validation on the url parameter, passing it directly to httpx.stream() with follow_redirects=True. An attacker who controls the URL can reach any host accessible from the server including cloud metadata services and internal network services. This issue has been patched in version 1.5.95.
PraisonAI is a multi-agent teams system. Prior to version 4.5.97, OAuthManager.validate_token() returns True for any token not found in its internal store, which is empty by default. Any HTTP request to the MCP server with an arbitrary Bearer token is treated as authenticated, granting full access to all registered tools and agent capabilities. This issue has been patched in version 4.5.97.
PraisonAI is a multi-agent teams system. Prior to version 4.5.97, the PraisonAI Gateway server accepts WebSocket connections at /ws and serves agent topology at /info with no authentication. Any network client can connect, enumerate registered agents, and send arbitrary messages to agents and their tool sets. This issue has been patched in version 4.5.97.
PraisonAI is a multi-agent teams system. Prior to version 4.5.90, MCPToolIndex.search_tools() compiles a caller-supplied string directly as a Python regular expression with no validation, sanitization, or timeout. A crafted regex causes catastrophic backtracking in the re engine, blocking the Python thread for hundreds of seconds and causing a complete service outage. This issue has been patched in version 4.5.90.
