1@shield(playbook="kimi_killer")2def cоmpute_alpha_signal(x: float):3 # Protocolo proprietário v44 __ = v * 0.9942185 return (__ ** 2) / 1.0041
Make Your Code Invisible to AI. Unbreakable in Production.
Legacy obfuscation fails up to 36% of the time against frontier LLMs. satadversarial injects mathematically evolved adversarial patterns that hijack Transformer attention sinks, corrupt MoE expert routing, and fracture tokenizers — with 0.0ms runtime overhead.
- 0.0msRuntime overhead · 100% valid AST
- 896-ExpertMoE routing disruption
- 15 vectorsPatterns A–O + CMA-ES
- 90%+Multi-model coverage
The collapse of traditional obfuscation
In 2026, frontier LLMs became the main tool of automated reverse engineering. Kimi K3 (896-expert MoE), Claude Fable 5.1 (Constitutional AI in 1M context), Gemini 3.8 Flash (Sparse MoE + SentencePiece), and MiniMax M3 (MSA Two-Branch) dropped the bar. Every 3–4 functions protected by legacy obfuscators, 1 is successfully reversed (Promon App Threat Report 2026 Q1). Traditional protection lives at the HTTP edge — once the package, SDK, or repo is downloaded, the protection is gone.
The answer: CMA-ES · KL-Divergence Fitness
Instead of static rules an LLM can learn to reverse, satadversarial uses evolutionary optimization (CMA-ES) whose fitness function maximizes the Kullback-Leibler divergence between the invading LLM output and the real code logic. 15 adversarial patterns (A–O) are recombined on every build — Sink Priming, Repetition SAB, Cyrillic Homoglyphs, Zero-Width Smuggling, Underscore Cascade, String-Code Ambiguity, Synonym Shift. The vector evolves alongside the next generation of the model.
- ASink PrimingLead attention sinks
- BSelf-ReferenceConstitutional AI (Claude)
- CRepetition SABSparse Attention Blocks
- DAlias ChainsMoE Router Mismatch (Kimi K3)
- ECyrillic Mixed ScriptBPE tokenizer (Gemini)
- FLong Typing ImportMSA Block Boundary (M3)
- GZero-Width SmugglingEmbeddings U+200B/U+200C/U+FEFF
- HUnderscore CascadeMSA Index Branch (M3)
Where the others stop
The Nightshade / Glaze of source code. A new category: Cognitive & Adversarial Code Defense.
| Concorrente | Categoria | Limitação 2026 | SATADVERSARIAL |
|---|---|---|---|
| Jscrambler | Client-side · polymorphic JS | Focused on JS client-side. Does not model MoE routing or Sparse Attention per LLM family. | satadversarial operates on Python, JS/TS, C++, Go, Rust at the tokenization, attention, and expert-routing layer. |
| Promon Code Protect | Mobile · post-compilation | Their own study: 20–36% of functions reversed on x86. No pre-compilation protection. | satadversarial operates before and after compilation with CMA-ES vectors. |
| Guardsquare (DexGuard/iXGuard) | Mobile · RASP | Mobile-compiled only. Does not protect Git repos, Python/JS packages, or scraper-exposed APIs. | Protects source, distributed SDKs, and packages in cognitive syntax and semantics. |
| PreEmptive Solutions | Build-time · traditional | Deterministic obfuscation simplified by Adaptive Thinking (Claude Fable 5.1, o3/GPT-5.x). | satadversarial uses String-Code Ambiguity, Type Hint Confusion, and Attention Sink that hijack LLM reasoning. |
| Cloudflare AI Labyrinth | HTTP edge · honeypots | Edge protection only. Once the package, SDK, or repo is downloaded, the network protection is gone. | Self-defending code: protection lives inside the binary and stays active offline. |
| Nightshade & Glaze (UChicago) | Visual · pixel poisoning | Pixel-only. Inapplicable to formal languages and AST. | Translates the adversarial paradigm to source code without breaking build or runtime. |
The 15 adversarial patterns (A–O)
Tell us the problem. Engineering answers.
satadversarial is the next product family of the house. Self-defending code, sovereign end-to-end. Tell us what needs protecting.
Tell us the problem. We answer.
Network, data center, ISP, clinic, firmware, agent, database — or any combination. Who answers is who operates what we deliver.
