hngrok

Removing the modem and GPS from my 2024 RAV4 hybrid from arkadiyt.com
657 by arkadiyt 10h ago | | |

Article: 19 min

A blog post detailing a DIY guide for removing the modem and GPS from a 2024 RAV4 Hybrid to prevent data transmission back to Toyota.

Cars are considered computers on wheels with numerous sensors collecting personal data.
Data is monetized through brokers, leading to security and privacy concerns.
Physical removal of modem (DCM) and GPS prevents data transmission back home.
Car functionality remains intact except for cloud-based services and Bluetooth connectivity issues.

Quality:
The article provides a detailed, step-by-step guide with clear instructions and visuals.

Discussion (387): 1 hr 15 min

The discussion revolves around privacy concerns in modern cars due to data collection by manufacturers and potential implications for users. Posts explore various methods to protect privacy, such as removing telematics systems or cellular modems, while acknowledging the complexity of these issues. There is a debate on whether alternative car technologies or brands offer better privacy options, with some skepticism towards current practices in the automotive industry.

Car manufacturers should be held accountable for their privacy practices.

Counterarguments:

Some users are willing to compromise privacy for convenience or features in cars.
Manufacturers argue that the benefits of connectivity outweigh privacy concerns.
Alternative technologies may not be widely available or practical.

Automotive Car Security, Privacy

Mullvad exit IPs are surprisingly identifying from tmctmt.com
17 by RGBCube 35m ago | |

Article: 11 min

The article discusses an unusual pattern in Mullvad's exit IP assignment, which allows for a limited number of combinations across its servers. The author tests this system and finds that it results in only 284 unique combinations for all tested servers, despite the large pool size.

Users may need to be more cautious when using Mullvad, especially in situations where deanonymization is a concern.

Mullvad uses a deterministic method to assign exit IPs based on WireGuard keys.
The exit IPs are not randomized each time you connect, leading to limited combinations across servers.
A script was used to test the system and map out the exit IP range for various servers.

Quality:
The article presents factual information and findings without expressing personal opinions.

Discussion (0):

More comments needed for analysis.

Privacy Cybersecurity, Digital Privacy

A few words on DS4 from antirez.com
186 by caust1c 4h ago | | |

Article: 5 min

The author discusses the rapid popularity of DwarfStar 4 (DS4), a single-model integration focused on local AI experience, and its potential future developments. The model's success is attributed to its efficiency in terms of RAM usage and compatibility with advanced quant strategies. The author mentions working long hours on DS4 and expresses excitement for upcoming releases that will include quality benchmarks, a coding agent, hardware setup for continuous integration testing, additional ports, and distributed inference capabilities.

Quality:
The author shares personal experiences and future plans, which may introduce a slight subjective tone.

Discussion (57): 10 min

The comment thread discusses the capabilities and performance of DS4, a local AI model designed for efficient inference on commodity hardware. Opinions vary regarding its efficiency compared to existing libraries and leading models, with debates around token throughput in agentic situations.

DS4 is a powerful local AI model
Efficiency of custom inference engines vs existing libraries

Counterarguments:

DS4 may not perform as well in agentic situations due to token throughput issues
Efficiency of custom inference engines might not always outweigh the benefits of existing libraries

Artificial Intelligence Machine Learning, AI Models, Local Inference

First public macOS kernel memory corruption exploit on Apple M5 from blog.calif.io
282 by quadrige 8h ago | | |

Article: 8 min

A research team has discovered the first public macOS kernel memory corruption exploit on Apple M5 silicon. The vulnerability was reported in person to Apple and will be shared after a fix is provided by the company.

This exploit could potentially lead to unauthorized access or data breaches on Apple M5-powered devices, emphasizing the importance of timely security patches and highlighting the role of AI in vulnerability discovery.

Reported to Apple in person for better visibility and recognition.
Full technical details will be shared after the vulnerabilities are fixed by Apple.

Quality:
The article provides a balanced view of the discovery and its implications.

Discussion (53): 4 min

The comment thread discusses various aspects related to memory protection systems like MTE and data-only attacks in software security. Opinions vary on whether Apple should have used additional tools such as fbounds checking for OS hardening, and there is debate about the effectiveness of MTE in detecting all types of bugs. The discussion also touches upon AI's role in security and the potential limitations of current security practices.

MTE is a useful tool for finding memory corruption bugs.

Counterarguments:

MTE has limitations and might not detect all types of bugs.
GPU memory/shaders/etc. is not protected by MTE or PAC.

Security Vulnerabilities, Exploits, Malware

RTX 5090 and M4 MacBook Air: Can It Game? from scottjg.com
501 by allenleee 11h ago | | |

Article: 1 hr 32 min

The article discusses the possibility of using an NVIDIA RTX 5090 GPU with a MacBook Air through Thunderbolt eGPU technology and Linux virtualization to play games like Cyberpunk 2077, Doom (2016), and Crysis. It also explores AI inference capabilities on Apple Silicon Macs by utilizing local large language models such as Qwen and Gemma.

This project showcases the potential for utilizing underpowered devices with external high-performance GPUs through virtualization, which could influence DIY and budget gaming setups. However, it also highlights the limitations of current Apple Silicon hardware in terms of performance and compatibility.

The project requires a special entitlement from Apple to enable the use of eGPU technology.
The setup involves using QEMU patches for DMA coalescing and hardware TSO mode on ARM-based Macs.
The article discusses various performance implications, including CPU overhead, emulation layers, and virtualization costs.
AI inference is found to work well with local large language models like Qwen and Gemma, especially in terms of token generation speed and concurrency scaling.

Quality:
The article provides detailed technical insights and benchmarks, maintaining a balanced viewpoint while discussing the limitations of using eGPU technology on Apple Silicon Macs.

Discussion (139): 27 min

The comment thread discusses the innovative use of LLMs for gaming on Apple Silicon and critiques Apple's decision to not support Nvidia GPUs in the Mac Pro. There is a consensus that LLMs can be useful tools but have limitations, while opinions vary on whether Apple's hardware choices were strategic or missed opportunities.

LLMs can be useful tools when used correctly.

Counterarguments:

LLMs have limitations and should not be expected to provide perfect responses.
Apple's decision might have been influenced by other factors besides Nvidia support.

Gaming , Gaming Hardware, Virtualization, Large Language Models

New Nginx Exploit from github.com/DepthFirstDisclosures
306 by hetsaraiya 9h ago | | |

Article: 2 min

A critical heap buffer overflow vulnerability, CVE-2026-42945, has been discovered in NGINX's ngx_http_rewrite_module, enabling unauthenticated remote code execution.

This vulnerability could lead to unauthorized access, data theft, or system compromise for affected NGINX users, potentially impacting the security posture of websites and applications using NGINX as their web server.

Autonomous discovery by depthfirst's security analysis system
CVE-2026-42945 critical vulnerability
Impact on NGINX Open Source and NGINX Plus versions

Quality:
The article provides factual information and technical details without expressing personal opinions.

Discussion (67): 11 min

The comment thread discusses the discovery of a significant NGINX Rift vulnerability and its implications. Participants debate the effectiveness of ASLR in mitigating vulnerabilities and consider alternatives to C-based web servers like Apache and Nginx, focusing on memory safety features.

ASLR can mitigate but not eliminate the risk
Older versions of NGINX may have security issues

Counterarguments:

Memory-safe languages may not necessarily reduce all types of vulnerabilities
Alternatives like Apache and Nginx have a history of vulnerabilities as well

Security Vulnerabilities & Exploits, Web Application Security

Codex is now in the ChatGPT mobile app from openai.com
205 by mikeevans 7h ago | | |

Article: 9 min

Codex, now integrated into the ChatGPT mobile app, enables users to manage tasks from anywhere, facilitating collaboration and productivity across various devices and environments.

Enables greater flexibility and productivity for remote work, potentially reducing the need for constant desk-bound presence.

Codex integration allows users to stay connected and manage tasks from their phones.
Offers a fully-featured mobile experience for working with Codex across multiple devices.
Facilitates collaboration, review, approval, and task management in real-time.

Discussion (103): 14 min

The comment thread discusses various aspects of Codex and its comparison with other AI tools like Claude. Users express positive opinions about Codex's performance in TypeScript projects and the benefits of integrating it with development workflows through tools such as Symphony. There is a debate on the differences between free and paid versions, with some users finding limitations in the free version compared to the paid one. The thread also touches upon the accessibility and remote work capabilities of AI tools.

Codex offers significant benefits to developers, especially in TypeScript projects

Software Development Mobile Development, Cloud Computing

Tesla Wall Connector bootloader bypasses the firmware downgrade ratchet from synacktiv.com
67 by p_stuart82 6h ago | | |

Article: 17 min

The article discusses a method for bypassing firmware downgrade restrictions on Tesla Wall Connectors by exploiting vulnerabilities in the update process and bootloader.

This bypass could potentially allow unauthorized access to home or business networks through compromised Tesla Wall Connectors, highlighting the importance of secure firmware updates and bootloaders in IoT devices.

Tesla Wall Connectors use two firmware slots: active and passive.
The 'switch_to_new_firmware()' function enforces a security ratchet to prevent downgrade.
The bootloader does not implement secure boot or have knowledge of the security ratchet.
A bypass method involves sending valid, up-to-date firmware, then overwriting it with an older version without calling routine 0x201.

Quality:
The article provides technical details and a step-by-step guide, maintaining an objective tone.

Discussion (26): 3 min

The discussion revolves around the Tesla home charger's compatibility with non-Tesla vehicles, vehicle restrictions, and issues related to WiFi connectivity. There is a debate on whether bypassing vehicle restrictions constitutes hacking or cracking, and opinions vary on Tesla support's effectiveness.

Vehicle restrictions can be bypassed on the Tesla home charger for J1772-compatible EVs.

Counterarguments:

There are no restrictions on using the Tesla home charger for J1772-compatible EVs.
The wall charger works fine with Teslas and non-Tesla cars at Superchargers.

Automotive Tesla

RISC-V Router from router.start9.com
83 by janandonly 7h ago | | |

Discussion (44): 8 min

The comment thread discusses a new router that uses a RISC-V processor and aims to be the most open router on the market, with concerns raised about its hardware limitations, price-to-performance ratio, and security features. Users compare it to established brands like Banana Pi and Turris Omnia NG, highlighting differences in networking capabilities, software interfaces, and potential backdoors.

Banana Pi offers a cost-effective alternative
Router lacks key networking features

Counterarguments:

Router may not run a mainline kernel
Price is too high compared to features and specifications

UFerris a Versatile Learner Board for Rust Embedded Beginners from theembeddedrustacean.com
8 by stmw 2h ago | |

Article: 6 min

The article introduces uFerris, a versatile Rust embedded learning board that supports multiple microcontrollers and standard peripherals. It is designed for beginners to simplify the process of learning embedded Rust by providing a single reference platform with open-source hardware and software.

Integrated peripherals without the need for breadboard
Companion to Simplified Embedded Rust series

Quality:
The article provides clear and detailed information about the product, its features, and its compatibility with Rust programming.

Discussion (0):

The user expresses uncertainty about the target audience of a board, appreciates its potential for Rust on RP2040/2350 but finds it lacking in ESP device coverage. They suggest a maker lab project collection with an RP2350 and companion text to cater to their interest in Rust and MCUs, preferring open hardware over commercial chips.

The board should cater to a specific audience

Hardware Embedded Systems