Check Point has issued security updates for CVE-2026-91843, a stack-based buffer overflow in the login process of its Security Management Server and Log Server products. The flaw allows unauthenticated attackers to remotely execute code with root privileges in low-complexity attacks requiring no user interaction. Check Point says it isn't aware of active exploitation but has provided detection guidance and interim mitigations for customers who can't immediately apply the fix.
AMD engineers are increasing efforts to integrate the Rust programming language deeper into their GPU software, aiming to improve memory safety and reliability across drivers and related components. The move mirrors similar work at NVIDIA, which has been developing its own Rust-based Nova Linux kernel driver.
A developer has resumed work on DNet, a self-built network stack originally created while studying computer networking, after leaving it dormant for four years. The project handles TAP device creation, Ethernet frame parsing, ARP, ICMPv4, and UDP, and now includes a basic DNS server used as the authoritative resolver for the author's DN42 domain 42420167.xyz.
An Entrepreneur contributor argues that startups can no longer rely solely on a single venture capital raise as their financing plan, citing a sharp drop in global VC fundraising and slower exits that have left many funds unable to return money to their own investors. The piece recommends founders build a three-part capital stack combining equity, debt-based instruments and profitability to reduce dependence on favorable market timing.
A software commentary piece challenges the common framing that AI coding tools are either useless or set to replace programmers, arguing both views misplace the focus on authorship rather than understanding. The author points out that developers have always relied on external sources—documentation, Stack Overflow, colleagues' code—rather than memorized syntax, so AI-generated code isn't fundamentally different. The piece contends that true code ownership has never been about who typed the lines, but about comprehending how a system works.
Alibaba priced an 80 billion Hong Kong dollar (about $10.2 billion) placement of 710 million new shares at HK$112.70 each, sold to non-U.S. investors and set to close Wednesday. The company says all proceeds will go toward expanding its AI infrastructure and broader AI capabilities. Shares fell as much as 10% in Hong Kong trading following the announcement.
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