Skip to main content

kernel - How can I evaluate untrusted Mathematica code in a sandbox?


Is there any way to build a sandbox to evaluate untrusted Mathematica expressions in order to prevent them from having (malicious or accidental) harmful side effects?


Context: I'm developing a system wherein students will enter code into designated notebook cells, and my package will extract the code, evaluate it, and offer feedback. The problem is, even if I evaluate their code within a separate context (and I'm having trouble making that happen), they could still use explicit contexts to affect a different context, invoke Quit, or use filesystem manipulation functions to mess with my computer.



It seems to me that there are two aspects to this problem: isolating execution of their code from everything else the kernel is doing (like running my package), and isolating their code from everything on my computer external to Mathematica. The first might be accomplished by using a separate kernel (somehow), but I have no ideas for the second.


Wolfram must have addressed this problem while developing WebMathematica, right?



Answer



You should consider using the sandbox functionality. You can create a subkernel and put it in sandbox mode this way:


link = LinkLaunch[First[$CommandLine]<> " -wstp -noicon"];
LinkWrite[link, Unevaluated@EvaluatePacket[Developer`StartProtectedMode[]]];

You can then interact with this subkernel using the standard LinkWrite and LinkRead functions. If you don't mind your master kernel being sandboxed, you can even just evaluate Developer`StartProtectedMode[] there, but it disables a lot of functionality (mostly import/export and file system manipulation).


Note that sandbox mode also will only allow you to load .m/.wl files from very specific directories. You can set this in the call itself as well:


Developer`StartProtectedMode[{"Read" -> {$myPath}, "Write" -> {$myPath}, "Execute" -> {$myPath}}]


where $myPath is the path to where you store the code you wish to interact with.


Comments

Popular posts from this blog

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....