Nanopass Back-Translation of Call-Return Trees for Mechanized Secure Compilation Proofs

Researchers aim to build secure compilation chains enforcing that if there is no attack a source context can mount against a source program then there is also no attack an adversarial target context can mount against the compiled program. Proving that these compilation chains are secure is, however, challenging, and involves a non-trivial back-translation step: for any attack a target context mounts against the compiled program one has to exhibit a source context mounting the same attack against the source program. We describe a novel back-translation technique, which results in simpler proofs that can be more easily mechanized in a proof assistant. Given a finite set of finite trace prefixes, capturing the interaction recorded during an attack between a target context and the compiled program, we build a call-return tree that we back-translate into a source context producing the same trace prefixes. We use state in the generated source context to record the current location in the call-return tree. The back-translation is done in several small steps, each adding to the tree new information describing how the location should change depending on how the context regains control. To prove this back-translation correct we give semantics to every intermediate call-return tree language, using ghost state to store information and explicitly enforce execution invariants. We prove several small forward simulations, basically seeing the back-translation as a verified nanopass compiler. Thanks to this modular structure, we are able to mechanize this complex back-translation and its correctness proof in the Rocq prover without too much effort.

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Publication Details

Journal
ArXiv.org
Published
2025-01-01
DOI
https://doi.org/10.4230/lipics.itp.2025.29
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
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article

Nanopass Back-Translation of Call-Return Trees for Mechanized Secure Compilation Proofs

Jérémy Thibault, Cătălin Hriţcu, Joseph Lenormand
ArXiv.org
Interconnection Networks and Systems
article

Nanopass Back-Translation of Call-Return Trees for Mechanized Secure Compilation Proofs

Jérémy Thibault, Cătălin Hriţcu, Joseph Lenormand
article en

Abstract

Researchers aim to build secure compilation chains enforcing that if there is no attack a source context can mount against a source program then there is also no attack an adversarial target context can mount against the compiled program. Proving that these compilation chains are secure is, however, challenging, and involves a non-trivial back-translation step: for any attack a target context mounts against the compiled program one has to exhibit a source context mounting the same attack against the source program. We describe a novel back-translation technique, which results in simpler proofs that can be more easily mechanized in a proof assistant. Given a finite set of finite trace prefixes, capturing the interaction recorded during an attack between a target context and the compiled program, we build a call-return tree that we back-translate into a source context producing the same trace prefixes. We use state in the generated source context to record the current location in the call-return tree. The back-translation is done in several small steps, each adding to the tree new information describing how the location should change depending on how the context regains control. To prove this back-translation correct we give semantics to every intermediate call-return tree language, using ghost state to store information and explicitly enforce execution invariants. We prove several small forward simulations, basically seeing the back-translation as a verified nanopass compiler. Thanks to this modular structure, we are able to mechanize this complex back-translation and its correctness proof in the Rocq prover without too much effort.

ArXiv.org
Max Planck Institute for Security and Privacy (DE)
Openalex Percentile: Top 68%
Interconnection Networks and Systems
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