Exploiting Spectre with Deep Learning

Indeed, hardcoding values is never a good idea as it often leads to inflexible code. This post explores how we might learn these thresholds with the help of deep learning. But first, let’s review how Spectre works.

The call to model.fit() will start the training process. If all goes well, our model should achieve above 90% accuracy. Running this on my machine yields:

Now that we have a trained model, we can use it to predict unknown byte values given only cache timings. For example, let’s read a 40 byte secret string:

If everything went according to plan, we should see:

Of course, this remains purely speculative ;)

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