BINSEC Team @ Université Paris-Saclay, CEA, List
@BinsecTool
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Binary code analysis for security / Academic research (Infosec, SE, FM, AI) / Open-source tool / Applied in industry / Posts by @michaelmarcozzi and @Seb_Bardin
Paris, France
Joined September 2020
RT @Seb_Bardin: Back from @PLDI 2025, where Frédéric Recoules and I had the pleasure to give a tutorial on BINSEC and binary-level symbol….
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RT @michaelmarcozzi: Happy to have presented our SECUBIC project to the French research community in system security (RESSI'25)!. 🏠 https:/….
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RT @michaelmarcozzi: Check out our ROSARUM benchmark, part of our #icse2025 paper on backdoors and fuzzing:. ▶️ It is a fuzzing benchmark (….
github.com
A novel backdoor detection benchmark. Contribute to binsec/rosarum development by creating an account on GitHub.
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You are thrilled? Then. 1. Install Xyntia or use our Docker image: 2. Check our tutorial: 3. Deobfuscate binary code 😈.
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Xyntia includes new operators and new grammars, making synthesis more flexible.
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Xyntia can output Sygus2 problems to easily compare with other synthesizers. Try it and send us feedback.
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Xyntia includes a Counter-Example-Guided-Synthesis (CEGIS) loop.
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Sampling and equivalence checking against ground truth are now integrated in Xyntia
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Xyntia is now linked to Binsec ( and handles many architectures: x86_32/64, ARMv7/v8, RISCV and PowerPC64. Try it on all your use cases.
github.com
BINSEC binary-level open-source platform. Contribute to binsec/binsec development by creating an account on GitHub.
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📢Xyntia 0.2.0 is now available 📢. You are a reverse engineer, and you need to simplify highly obfuscated expressions (e.g., MBA)?. Try Xyntia 0.2.0, the black-box deobfuscator: It includes many new features!.
github.com
Xyntia, the black-box deobfuscator. Contribute to binsec/xyntia development by creating an account on GitHub.
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How to detect backdoors efficiently?. 🗣️ The slides of our #icse2025 presentation on "Finding Backdoors with Fuzzing" are now available at. ⬇️
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RT @plumtrie: Very honored to receive the Best Artifact award at #icse2025 🥳. Congrats and thank you to my coauthors! @michaelmarcozzi, Emi….
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RT @Seb_Bardin: Too many bugs in the queue, not enough time to fix them all? Happy to share that our work on automated bug priorization ha….
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JOB OFFER! - Liked our work on finding backdoors with fuzzing? Then, join the team as a postdoc and help us fight binary supply-chain attacks!. We offer a stimulating and open-minded scientific environment in English, in wonderful Paris!. APPLY AT
How to detect backdoors efficiently?. ▶️ Backdoors were found in firmware & open-source code.▶️ Detection requires much manual reverse-engineering .▶️ Fuzzers cannot see backdoors. Our @ICSEconf preprint on finding backdoors with fuzzing is at A thread ⬇️
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RT @michaelmarcozzi: 📢 I am looking for a postdoc on fuzzing, to prevent backdoors and supply-chain attacks!. Come and join the team here i….
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RT @michaelmarcozzi: 🏆 Our ROSA tool for backdoor detection has won a best artifact award at @ICSEconf! . Try it out: .
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RT @plumtrie: We (myself, @michaelmarcozzi, Stefano Zacchiroli, Emilien Decoux) release the ROSA toolchain, enabling fuzzing-based backdoor….
github.com
A novel backdoor detection benchmark. Contribute to binsec/rosarum development by creating an account on GitHub.
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RT @michaelmarcozzi: Happy to read such enthusiastic reactions to our @ICSEconf paper! ☺️. "ROSA Sets a New Standard for Backdoor Detection….
medium.com
The security industry is constantly battling against hidden backdoors—maliciously planted vulnerabilities that grant attackers undocumented…
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Two years ago, we reimplemented and optimized the symbolic relational engine of BINSEC, but the secret erasure check was not ported. It is back now, and fully integrated. Do not hesitate to play with it!.
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