High-risk tools in Scicompute
2 of the 4 tools in Scicompute are classified as high risk. This page profiles those tools specifically, with recommended policy actions and the attack patterns that target them.
Every operation listed below is an action PolicyLayer recommends controlling at the transport layer. Open any tool to see the full profile, risk score, and YAML policy snippet.
Tools at high risk
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computeExecuteExecute scientific computing code. Supports multiple backends (mathematica, sage, py_scientific, r, octave, julia, maxima). Use
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stopExecuteStop backend to clear variables and free memory. Use when you want a clean slate or the backend is misbehaving. The backend will restart automatically when needed.
Attacks that target this class
High-risk tools in any server share these documented attack patterns. Each links to the full case and the defensive policy.