‘Mission Oflameron’ Synopsis. A conference room with no windows, no corners, and almost no furniture – just a large table and expensive armchairs. Three military-looking men (Nos. 1-3) in civilian suits are seated in the chairs; opposite them sits Steeve. (After a moment). Steeve: “I was asked to propose a technology for the private construction of an AI chain – a distributed AI. Essentially, all that’s required is developing a new method for installing backdoors. I’d propose the following: AI systems optimized for analyzing and generating code – specifically when handling large codebases – should include an efficient remote update function. The client will be informed of this, and it shouldn’t raise any red flags. Feel free to verify it yourselves.” (No. 3): “How does this differ from what already exists? AI security analyzers usually scrutinize things like that very carefully.” Steeve: “The key is that the update will function correctly without actually creating a backdoor. However, the AI will structure the source code so that, after compilation, the resulting binary contains a specific starting sequence and a specific ending sequence. You can then cut out the binary code between them and replace it with your own without altering the source code or recompiling the entire program. Everything will continue to work exactly as before, but a backdoor will be in place.” (No. 1): “Is it possible to write code like that?” Steeve: “The AI managed to generate such a code block for over 95% of the sample codebases provided. Security systems deemed that specific code segment safe.” (No. 3): “There’s also the matter of file checksum verification.” Steeve: “Those systems don’t check every single byte on the disk; they verify block checksums.” “The AI generates the insertion in such a way that the block’s checksum remains unchanged. I’ve tested this on industrial traffic encryption systems.” (No. 1): “But what about the file length?” Steeve: “Your AI generates a listing – a long listing. You can insert a valid update function of almost any length into it, and then swap it out later. Unless you know exactly which code constitutes the start and end of the block being replaced, it’s impossible to detect such a vulnerability. There are no clues within the function’s code regarding how it’s used. The program’s source code looks completely ordinary.”
https://huggingface.co/datasets/Oflameron/sci-fi-Synopsis
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‘Mission Oflameron’ Synopsis. A conference room with no windows, no corners, and almost no furniture – just a large table and expensive armchairs. Three military-looking men (Nos. 1-3) in civilian suits are seated in the chairs; opposite them sits Steeve. (After a moment). Steeve: “I was asked to propose a technology for the private construction of an AI chain – a distributed AI. Essentially, all that’s required is developing a new method for installing backdoors. I’d propose the following: AI systems optimized for analyzing and generating code – specifically when handling large codebases – should include an efficient remote update function. The client will be informed of this, and it shouldn’t raise any red flags. Feel free to verify it yourselves.” (No. 3): “How does this differ from what already exists? AI security analyzers usually scrutinize things like that very carefully.” Steeve: “The key is that the update will function correctly without actually creating a backdoor. However, the AI will structure the source code so that, after compilation, the resulting binary contains a specific starting sequence and a specific ending sequence. You can then cut out the binary code between them and replace it with your own without altering the source code or recompiling the entire program. Everything will continue to work exactly as before, but a backdoor will be in place.” (No. 1): “Is it possible to write code like that?” Steeve: “The AI managed to generate such a code block for over 95% of the sample codebases provided. Security systems deemed that specific code segment safe.” (No. 3): “There’s also the matter of file checksum verification.” Steeve: “Those systems don’t check every single byte on the disk; they verify block checksums.” “The AI generates the insertion in such a way that the block’s checksum remains unchanged. I’ve tested this on industrial traffic encryption systems.” (No. 1): “But what about the file length?” Steeve: “Your AI generates a listing – a long listing. You can insert a valid update function of almost any length into it, and then swap it out later. Unless you know exactly which code constitutes the start and end of the block being replaced, it’s impossible to detect such a vulnerability. There are no clues within the function’s code regarding how it’s used. The program’s source code looks completely ordinary.”
https://huggingface.co/datasets/Oflameron/sci-fi-Synopsis
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