Alternatives
Products that do what ANY.RUN does
Interactive online malware sandbox
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I'm excited to introduce Zerobox, a cross-platform, single binary process sandboxing CLI written in Rust. It uses the sandboxing crates from the OpenAI Codex repo and adds additional functionalities like secret injection, SDK, etc. Watch the demo: https://www.youtube.com/watch?v=wZiPm9BOPCg Zerobox follows the same sandboxing policy as Deno which is deny by default. The only operation that the command can run is reading files, all writes and network I/O are blocked by default. No VMs, no Docker, no remote servers. Want to block reads to /etc? zerobox…
Mar 2026 · github.com
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Tilde started from a simple observation: AI agents are only as useful as the environment they can work in. Giving an agent a prompt is easy. Giving it the right files, credentials, tools, context, and execution environment, safely and repeatably, is much harder. Over the past year, we learned a lot
May 2026 · tilde.run
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2022 · runno.dev
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Epho▲156Hey folks, Burak here. Epho is an API that allows running Claude Code, Codex or Opencode in a sandbox in the cloud. It abstracts away sandboxes, and allows running coding agents with a single HTTP request. Epho came out of our own struggles with building our own AI analyst: - Sandboxes give you bare machines; you need to configure them for agentic workloads. - Each agent behaves differently, and you need to build integrations with each of them. - Sandbox providers are not very reliable, which means you need to figure out a multi-provider strategy to avoid failures. - Logging, artifacts,…
18d ago · epho.io
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Confidential Advanced Malware Analysis Platform
Apr 2026 · sandguard.io
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2024 · github.com
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2020 · github.com
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2013 · getanomalous.com
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I built an open-source malware detection daemon that monitors all running processes in real-time using ML + heuristics. No kernel modules or eBPF required. Key points: - Polls /proc for new processes (works on any Linux kernel 2.6+) - Random Forest model trained on EMBER 2018 dataset (2.3M samples) - Heuristic rules for crypto miners, ransomware, rootkits - ~20MB RAM, <1% CPU, sub-millisecond scan latency - Pure C, zero runtime dependencies - Model embedded directly in binary (50KB) Why I built this: Existing solutions either require modern kernels (eBPF) or are heavy/proprietary.…
Nov 2025 · github.com
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2012 · engineering.versal.com
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2020 · github.com
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This is a small PoC Python project for web server access logs analyzing to classify and dynamically block bad bots, such as L7 (application-level) DDoS bots, web scrappers and so on. We'll be happy to gather initial feedback on usability and features, especialy from people having good or bad experience wit bots. *Requirements* The analyzer relies on 3 Tempesta FW specific features which you still can get with other HTTP servers or accelerators: 1. JA5 client fingerprinting (https://tempesta-tech.com/knowledge-base/Traffic-Filtering-b...). This is a HTTP and TLS layers…
Oct 2025 · github.com
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Apr 2026 · dcfoundation.io
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2022 · sandbox.bio
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