Every modern CPU leaks timing information through shared execution resources. All four major vendors declined to patch. The only current defense halves your server throughput. LavaLamp is a software-based solution that masks CPU timing side-channels on any x86 or ARM processor with SMT — at only 6% overhead.
The vendor-recommended fix is to disable SMT entirely — a 50% capacity loss. LavaLamp recovers 47% of that wasted capacity while reducing the timing signal by 93%. Software-only. No hardware required. Zero application changes.
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Modern CPU architectures share execution resources between simultaneous multithreading (SMT) sibling cores, creating a measurable timing side-channel. On AMD Zen 5 (Ryzen 9950X3D), the integer execution port scheduler exhibits a "winner-take-all" resource strategy. When a spy process saturates the ports, the SMT sibling suffers a reproducible latency penalty.
This signal is large enough to function as a "lidar" for neighboring execution flow, enabling trivial differentiation of instruction mixes. A malicious process can distinguish modular exponentiation from scalar operations, compromising cryptographic key material.
| Vendor | Report ID | Response | Date |
|---|---|---|---|
| AMD | Contact for details | Closed: "Expected Behavior" | Jan 2026 |
| Google / Chromium | Contact for details | Won't Fix (Not Reproducible) | Jan 2026 |
| Microsoft MSRC | Contact for details | Does not meet MSRC criteria | Feb 2026 |
| NVIDIA PSIRT | Contact for details | "Expected behavior" | Dec 2025 |
The unanimous vendor position: SMT is not a security boundary. The recommended mitigation is disabling SMT entirely, resulting in a 50% loss of system capacity — unacceptable for cloud infrastructure, data centers, and high-performance computing.
The industry standard defense against SMT side-channels is constant-time programming. Our findings show this is insufficient on Zen 5:
Isolated IMUL instructions show 0% variance. The leak is not in instruction latency — it is in SMT resource contention between sibling threads sharing the same physical core.
Even with architecturally balanced instruction sequences, the hardware introduces data-dependent resource usage between sibling threads. Software cannot control hardware-level resource partitioning.
SMT is enabled by default on all AMD EPYC server processors, all AMD Ryzen processors, all Intel Core processors with Hyper-Threading, and NVIDIA Grace ARM server CPUs. The vulnerability affects every multi-tenant environment:
LavaLamp is built on the Egocentric Reference Framework (ERF) — a mathematical model that treats numbers as dynamic geometric folds. Its empirical instrument, the Goldbach Topological Calculator (GTC), views every even number as a partition into two primes and measures that partition through nine geometric "lenses."
The key insight: rather than injecting random noise (which a sufficiently patient attacker can filter out), LavaLamp generates deterministic-but-chaotic contention that mirrors the geometric structure of the computation being protected. The original signal becomes inseparable from the noise.
LavaLamp introduces a "Safe & Neighbor" thread model. The Safe Thread runs the protected workload. The Neighbor Thread is an active contention engine pinned to the SMT sibling core, generating cycle-accurate port contention using GTC-derived dither intensity.
A proprietary geometric function derived from prime partitions that drives the base dither pattern, ensuring continuous entropy coverage with no statistical gaps.
A proprietary amplitude-scaling function that modulates dither intensity proportionally to the computational geometry of the workload being protected.
A proprietary stability gate function that ensures the dither pattern maintains coherence across time windows.
Multiple coprime maximal-length entropy generators with true random number seeding from hardware entropy sources (RDRAND/RNDR/urandom). Combined period exceeds 500 days of continuous operation.
| Property | Random Jitter | LavaLamp (ERF) |
|---|---|---|
| Noise Floor | Statistical, filterable | Deterministic-chaotic, unfilterable |
| Adaptation | None (fixed distribution) | Workload-aware (GTC lens) |
| Exploitable Gaps | Yes (statistical sampling) | No (continuous entropy coverage) |
| Information-Theoretic | Additive noise | Structural masking |
| Mitigation | Signal Leakage | Performance Tax | Capacity |
|---|---|---|---|
| None (Unprotected) | 23.96% | 0% | 100% (unsafe) |
| Disable SMT (Vendor Fix) | 0% | 50% | 50% |
| Random Jitter | ~8% | ~30% | ~70% |
| LavaLamp (Software PoC) | 1.74% | 6.14% | 93.86% |
| LavaLamp (FPGA, projected) | <1% | <0.1% | 99.9% |
The software PoC achieves a 93% reduction in exploitable signal while consuming only 6.14% of CPU capacity, reclaiming 46.88% of compute capacity compared to disabling SMT.
From software-only CPU protection to FPGA-accelerated datacenter shields to standalone DRM. Each tier available as a machine-locked license or a shared node license for teams.
Pure software daemon that runs on any x86 or ARM processor with SMT. The GTC entropy engine generates entropy-mapped dither and applies it as active neighbor contention on SMT sibling threads, burying the ~27% timing signal to 1.74% at only ~6% CPU overhead.
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The GTC entropy engine has been validated with a comprehensive statistical test suite across thousands of samples on real hardware. All results from live systems, not simulation. Software and FPGA implementations share identical mathematical foundations.
| Test | Result | Status |
|---|---|---|
| Mean | Within 0.06% of ideal | PASS |
| Standard Deviation | Within 0.03% of ideal | PASS |
| Chi-Squared Uniformity | Well within critical threshold | PASS |
| Shannon Entropy | >99.7% of theoretical maximum | PASS |
| Unique Values | 100% coverage | PASS |
| Transition Rate | Exceeds ideal rate | PASS |
| Bit-Level Bias | All bits within 49-51% | PASS |
| Runs Test | Well within acceptance region | PASS |
| Autocorrelation (lag 1-10) | Negligible autocorrelation detected | PASS |
All tests pass cleanly. Detailed results available under NDA for qualified enterprise customers.
Project LavaLamp is seeking $90K seed investment to ship production software, validate across 17 FPGA boards from 6 vendors, build the PCIe Pro tier, file patents, and complete an independent security audit. We have a validated software engine, working FPGA prototype, and documented vendor refusal to mitigate a 27.6% timing side-channel vulnerability.
Milestones Achieved (Pre-Funding)AMD Zen 5 exhibits a 27.6% timing signal through SMT port contention — enough to distinguish cryptographic operations from neighboring threads. This affects every EPYC server, every Ryzen workstation, every cloud instance with SMT enabled (the default).
All four major vendors — AMD, Google, Microsoft, NVIDIA — were notified through responsible disclosure. All four declined to patch. The only vendor-recommended fix (disable SMT) costs 50% of server capacity. That's $2.5M/year per 1,000 servers.
Existing solutions (random jitter injection, SMT disabling) are either filterable by patient attackers or catastrophically expensive. LavaLamp's GTC-derived entropy is structurally unfilterable — it mirrors the geometric signature of the workload being protected.
The mathematical framework (Egocentric Reference Framework + Goldbach Topological Calculator) is novel with no prior art. Four patent claims ready for provisional filing. Defensive publications establish a documented timeline of independent discovery and responsible disclosure.
Production software, 17 FPGA boards across 6 vendors, PCIe Pro tier, security audit, and patent filing. Detailed roadmap and financials available under NDA.
| Vendor | Bug ID | Response |
|---|---|---|
| AMD | AMD-NSACNT3N | "Expected Behavior" |
| Google / Chromium | Issue 475937586 | "Won't Fix" |
| Microsoft MSRC | VULN-171518 | "Does not meet criteria" |
| NVIDIA PSIRT | Tracking 5775002 | "Expected behavior" |
8/8 statistical tests pass on real FPGA hardware. 98.4% Shannon entropy efficiency. Core mathematical engine proven in both software and hardware.
26/26 proofs verified on live FPGA hardware. Autonomous challenge generation from XADC thermal entropy. Per-device DNA fingerprinting.
Cross-platform software daemon tested on AMD Zen 5 x86, ARM-compatible. One-command install via systemd. 93% leakage reduction at 6% overhead.
Artix-7 family: Arty A7-35T/100T, Basys 3, Nexys A7/Video, Neso A7, AtomMiner AM01. Single command per board: vivado -mode batch -source build_board.tcl -tclargs arty35
Publication-ready technical whitepaper with hardware validation data, statistical results, and architecture documentation.
4 JSON result files with 5,000+ samples. 4 publication figures. Private GitHub repo with clean commit history.
Method for masking SMT port contention timing signals using GTC-derived entropy mapped through Shannon Information and Curvature lenses. No prior art exists for applying the Goldbach Topological Calculator to side-channel mitigation.
The distinction between additive random jitter (filterable) and structurally-mapped chaotic contention (unfilterable) represents a new category of side-channel defense.
Hardware DRM using autonomous Goldbach partition computation with FPGA-speed timing oracle and per-device thermal/silicon fingerprinting. The FPGA generates its own cryptographic proofs without host cooperation.
Four vendor disclosure filings (AMD, Google, Microsoft, NVIDIA) establish a documented timeline of responsible disclosure and vendor refusal, strengthening the case for independent remediation.
Creator of the Egocentric Reference Framework and Goldbach Topological Calculator. Discovered the Zen 5 SMT port contention vulnerability. Reported the vulnerability to AMD, Google, Microsoft, and NVIDIA through responsible disclosure.
Designed and implemented the FPGA prototype (7 boards across Artix-7 family), the cross-platform software engine, the universal board build system, and the Goldbach Handshake DRM with full validation infrastructure.
We are selectively partnering with investors, compute providers, and enterprise customers who understand the urgency of CPU-level compute security.
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