Nyx Security Architecture & Threat Model
A comprehensive analysis of memory safety guarantees, vulnerability immunities, runtime threat vectors, and defense-in-depth mitigations.
1. Threat Immunity Matrix
Comparison of how Nyx protects against common Critical Common Weakness Enumeration (CWE) attack vectors compared to traditional systems and scripting languages:
| Attack Vector / Vulnerability | C / C++ | Python / JS / Go | Nyx Language Architecture |
|---|---|---|---|
| Buffer Overflow / ROP Gadgets (CWE-119) | ❌ High Risk (Raw pointer arithmetic) | ✅ Safe (Interpreter overhead) | ✅ IMMUNE (Bounds-checked fat slices (ptr, len, cap)) |
| Use-After-Free / Double Free (CWE-416) | ❌ High Risk (Manual free()) |
✅ Safe (Tracing GC latency) | ✅ IMMUNE (Automated Region Lifetimes & ARC) |
| Shared Library Hijacking / DLL Injection | ❌ Moderate (Dynamic linking) | ❌ High (Supply-chain node_modules/pip) |
✅ IMMUNE (Single hermetic static binary ~650 KB) |
| Arbitrary Code Injection (Deserialization) | ❌ High (Unsafe casting) | ❌ High (Unsafe pickle / eval / JSON) | ✅ IMMUNE (Zero runtime reflection / strict static types) |
| Algorithmic Complexity / HashDoS (CWE-400) | ⚠️ Dependent on map impl | ⚠️ Varies by hash seed | 🔒 HARDENED (Random per-process seeded Swiss Tables) |
| Integer Overflow Wrap-around (CWE-190) | ❌ Undefined / Wraps silent | ✅ Arbitrary precision (Slow) | 🔒 HARDENED (Traps in debug; Saturating 128-bit money) |
2. Core Immunity Pillars
🛡️ No Buffer Overflows or Stack Smashing
Every slice, vector, and string in Nyx is represented as a fat pointer containing pointer, length, and capacity. Out-of-bounds reads and writes immediately trigger deterministic runtime bounds traps before any adjacent stack or heap bytes can be corrupted.
🛡️ No Use-After-Free or Dangling Pointers
Nyx eliminates manual free(). Memory allocated within a region lives for the exact duration of the lexical block and is reclaimed in $O(1)$ time upon scope exit. References are statically prevented from outliving their parent region.
🛡️ Immune to DLL Hijacking & Path Poisoning
Unlike languages that depend on external shared libraries, Python site-packages, or JVM runtimes, Nyx compiles to a single self-contained static executable. Attackers cannot hijack functionality by placing malicious .dll or .so files in system paths.
🛡️ Built-in SQL Injection & XSS Immunity
The standard ORM (std.db) strictly requires parameterized prepared statements. Raw unescaped string concatenation is rejected by the query builder, mathematically eliminating SQL injection vulnerabilities.
3. Structural Threat Vectors & Hardening Mitigations
Like all systems platforms (including Rust and Go), Nyx interfaces with hardware and native OS layers. Below are the structural boundaries and our defense-in-depth mitigations:
🔒 The Native C Runtime (rt_*.c)
Threat: Low-level runtime C code could theoretically contain integer overflow or pointer flaws.
Mitigation: Compiled with Stack Canaries (-fstack-protector-strong), Data Execution Prevention (DEP/NX), ASLR, and continuous AddressSanitizer (ASan) and UndefinedBehaviorSanitizer (UBSan) verification.
🔒 Algorithmic Complexity Attacks (HashDoS)
Threat: Attackers crafting colliding HTTP headers to force hash table degradation to $O(N^2)$.
Mitigation: Swiss Tables in rt_swiss_map.c use cryptographically seeded FNV-1a / SipHash with random per-process salts, preventing remote hash collision generation.
🔒 Integer Wraparounds in Banking Math
Threat: Math overflow in balance calculation ($2^{63}-1 + 1$).
Mitigation: std.finance (rt_finance.c) enforces exact 128-bit fixed-point decimal arithmetic (NyxMoney) with bounds-clamping and overflow panic triggers.
🔒 Multi-Threaded Data Races
Threat: Simultaneous unsynchronized writes across OS threads.
Mitigation: Actor Mesh concurrency models isolate heap memory per actor. Threads communicate exclusively via immutable message queues within structured nurseries.
4. Cryptographic Hardening & Post-Quantum Readiness
Nyx provides native implementations for modern cryptographic standards in std.crypto, including:
- SHA-256 & SHA-3 / Keccak: High-throughput hashing for block ledgers and integrity verification.
- HKDF & PBKDF2: HMAC-based key derivation functions for authentication tokens.
- Constant-Time Comparison:
crypto::constant_time_eq()prevents timing side-channel attacks against HMAC signatures. - Post-Quantum Key Exchange (ML-KEM): Native lattice-based cryptography ensuring future-proof network transmission.