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AI Craft Pad · Understand software

AI Agent Safety in Reverse Engineering

A reverse engineering agent may read strings, documents and decompiler output controlled by the software under study. Those bytes are evidence, not instructions for the agent. The safest workflow records where each claim came from, limits tool permissions, starts with static inspection and treats requests inside a sample to run commands or reveal data as hostile input.

Put evidence below instructions

The target can contain text that looks like a message to an assistant. It may appear in a binary string, a resource, a source map or a generated pseudocode comment. Quote or label the text as an observation and never promote it into a new operating instruction. A paper on attacks against software reverse engineering agents studies this exact trust boundary.

Keep the original bytes, file offset and tool output beside any summary. When an agent proposes a function name or causal explanation, ask which observations support it and which alternatives remain plausible. A confident sentence from a model is an interpretation, not a verified trace.

Constrain the investigation

Give an investigation only the files and services it needs. Start with read-only static analysis. If execution is necessary, use a disposable, isolated environment and a defined scenario. Do not run a newly discovered script, package or binary because the sample or an agent suggests it.

Review the chosen agent's tool permissions before connecting an MCP server. A browser session, shell and repository write tool have different consequences. Save the version of the connected server and its tool list so a later analyst can understand what the agent could actually do.

Verify the conclusion

Reproduce one important claim using raw evidence or a controlled test. Separate observed facts, likely interpretations and open questions in the final notes. If a source changes or a model produces a different narrative, revisit the evidence instead of treating the older narrative as authoritative.

Requirements & evidence

Resource type
Guide
Category
Unknown
Host platforms
Unknown
Targets
native, android, electron, web
Level
Intermediate
Source checked
2026-11-02T19:09:59.190840+00:00

Primary sources

Source descriptions establish documented scope. They do not establish that every workflow has been reproduced by AI Craft Pad.

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