Based on the talks presented at the hacker conferences, it’s not hard to see that the security designs and approaches used in Elon Musk’s two companies, SpaceX and Tesla, are remarkably similar. Fault injection attacks can likewise be used to break the secure boot mechanisms of both products and ultimately obtain root access.

AI predictions for next 6-9 months -> Anthropic/ OAI fail to ban OSS in the US -> Anthropic/ OAI continue to innovate product but stall on fundamental tech breakthroughs -> SOTA Gemini 4 launches at 10x lower cost -> Elon open sources Grok -> Anthropic/ OAI ARR growth stalls as enterprises move from tokenmaxxing to rational token consumption/ OSS -> slow realization in public markets that AI may not replace human labor in next 1-3 years/ has not had a fundamental tech breakthrough in over a year/ lacks ROI/ AI hyper and lab spend not durable -> moonboy VCs/ hedge funds/ softbank continue to fund Anthropic/ OAI equity raises in private markets as public markets for them are now fully closed -> CXMT, YMTC announce capacity expansions significantly above market expectations -> hypers deliver good q326 results on first look but fail to show meaningful AI ROI, guide to "significant capex expansion in fy27" -> broad realization in public markets the AI dream we got sold on is not anywhere close to realization -> 10yr hits >5% -> hyper bonds reprice >10%, CDS hit 3x current levels, and AI credit market dries up as market realizes GPU ABF was not a good idea -> hyper equities reprice 30-50% lower -> ORCL falls below $30 as rumors of bailout make the round -> market realizes memory is cyclical and LTAs won't hold -> 50% of korean traders get wiped within a week -> hypers cut fy27 capex -> semis reprice >80% lower -> fed cuts >150bps to avoid recession

The voltage glitch described in my previous post works by briefly reducing core voltage so that a clocked instruction does not complete correctly. In the example, the target is the conditional branch that enforces the failed signature check (`B lock_down`). A short pulse on the MOSFET can cause the instruction decoder to fail to resolve the opcode, so the processor advances past that instruction. Pulse widths on the order of tens of nanoseconds are within the range used in published attacks. In practice the outcome depends on exact timing relative to the clock edge, the depth of the voltage drop, and the state of the power delivery network. Most attempts produce a reset or no change in control flow. The usable parameter window (offset and width) is usually found by automated scanning rather than a single correctly timed pulse. Many secure-boot implementations add countermeasures that reduce the probability of a successful fault: brown-out detectors, voltage monitors, redundant checks, or randomized delays before the critical instruction. These do not remove the underlying sensitivity of CMOS logic to supply voltage, but they increase the number of attempts required and the precision needed. The technique therefore remains a physical attack on the enforcement of the security check rather than on the cryptographic verification itself.

Windows 7 on PS5

Over the past year or so, I've been heavily using AI for development and reverse-engineering, and in my spare time I've built several practical tools that I frequently use: 1Claude Code Monitor: Monitor & audit every action Claude Code takes on your computer. cc-monitor.com 2IoT Firmware Deep Analysis: Automated reverse engineering and vulnerability discovery for IoT firmware binaries. ifda.dev 3BeeEye (seems like Wireshark on the web) beeeye.dev 4PaperInsight: Focused on PDF translation and AI interpretation of PDF research papers. paper-insight.com 5AI Code Analyzer github.com/cn0xroot/AI-Code-…: An AI large-model-based code analysis system that automatically generates project function overviews, technology stack analysis, architecture design, implementation principles, and outputs Mermaid visualizations (architecture diagrams, flowcharts, class diagrams, sequence diagrams, etc.). All of the tools listed above were developed because I found them personally useful, and I built them in my spare time. To date, I've continued to improve and refine them purely out of passion and interest—these tools haven't generated any revenue or financial return yet.

They said I couldn’t run custom apps in a Tesla. I proved them wrong. I can, and I will. And no, it’s not going to be a click counter 😈 Want to install third-party apps in yours too? Something big is coming. @CoilShift

A really excellent reverse-engineering report on a hardware backdoor implant in the LEDGER NANO X. @joegrand completed the reverse-engineering analysis of the backdoor implant in the crypto hardware wallet six months ago. grandideastudio.com/media/le…

The antenna reads "欧亚版 (Ōuyà bǎn)", meaning "Eurasian version", so there could be more out there. I'm guessing they had to make different versions depending on the available LTE frequencies in each region.