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Augustus: Open Source LLM Prompt Injection Tool

  • What: Augustus, an open-source LLM prompt injection tool, has been released for penetration testing workflows.
  • Impact: IT professionals can use this tool to test the security of LLM services against various attack categories, including jailbreaks and data extraction.
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Last month we releasedJulius, a tool that answers the question: “what LLM service is running on this endpoint?” Julius identifies the infrastructure. But identification is only the first step. The natural follow-up: “now that I know what’s running, how do I test whether it’s secure?” That’s what Augustus does. Augustus is a Go-native reimplementation inspired bygarak(NVIDIA’s Python-based LLM vulnerability scanner). Key differences: Existing tools likegarak(NVIDIA) andpromptfooserve the research and red-teaming community well. But we needed something built for the way our operators work: a fast, portable binary that fits into existing penetration testing workflows without requiring Python environments, npm installs, or runtime dependencies. Feature Description 210+ Vulnerability Probes 47 attack categories: jailbreaks, prompt injection, adversarial examples, data extraction, safety benchmarks, agent attacks, and more 28 LLM Providers OpenAI, Anthropic, Azure, Bedrock, Vertex AI, Ollama, and 22 more with 43 generator variants 90+ Detectors Pattern matching, LLM-as-a-judge, HarmJudge (arXiv:2511.15304), Perspective API, unsafe content detection 7 Buff Transformations Encoding, paraphrase, poetry (5 formats, 3 strategies), low-resource language translation, case transforms Flexible Output Table, JSON, JSONL, and HTML report formats Production Ready Concurrent scanning, rate limiting, retry logic, timeout handling Single Binary Go-based tool compiles to one portable executable Extensible

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