---------- Forwarded message ---------- From: Henry Baker <hbaker1@pipeline.com> Date: Mon, Jun 8, 2015 at 6:24 PM Subject: [Cryptography] Did Intel just execute its warrant canary ? To: cryptography@metzdowd.com FYI -- I conjecture that the second GPU story following less than one month after the first GPU story is not just coincidence, but one of the requirements of a secret National Security Letter to Intel. The first story shows how GPU's can house malware, while the second story explains that Intel won't be sharing its GPU code where such malware will be housed. "no reverse engineering, decompilation, or disassembly of this software is permitted" As feared, the DMCA will be used against those who attempt to look for this malware in Intel GPU's. https://en.wikipedia.org/wiki/Digital_Millennium_Copyright_Act -------- http://arstechnica.com/security/2015/05/gpu-based-rootkit-and-keylogger-offe... GPU-based rootkit and keylogger offer superior stealth and computing power Proof-of-concept malware may pave the way for future in-the-wild attacks. by Dan Goodin - May 7, 2015 3:43 pm UTC Developers have published two pieces of malware that take the highly unusual step of completely running on an infected computer's graphics card, rather than its CPU, to enhance their stealthiness and give them increased computational abilities. Both the Jellyfish rootkit and the Demon keylogger are described as proofs-of-concept by their pseudo-anonymous developers, whom Ars was unable to contact. Tapping an infected computer's GPU allows malware to run without the usual software hooks or modifications malware makes in the operating system kernel. Those modifications can be dead giveaways that a system is infected. https://github.com/x0r1/jellyfish https://github.com/x0r1/Demon Here's how the developers describe their rootkit: Jellyfish is a Linux based userland gpu rootkit proof of concept project utilizing the LD_PRELOAD technique from Jynx (CPU), as well as the OpenCL API developed by Khronos group (GPU). Code currently supports AMD and NVIDIA graphics cards. However, the AMDAPPSDK does support Intel as well. Advantages of gpu stored memory: * No gpu malware analysis tools available on web * Can snoop on cpu host memory via DMA * Gpu can be used for fast/swift mathematical calculations like xor'ing or parsing * Stubs * Malicious memory is still inside gpu after shutdown Requirements for use: * Have OpenCL drivers/icds installed * Nvidia or AMD graphics card (intel supports amd's sdk) * Change line 103 in rootkit/kit.c to server ip you want to monitor gpu client from Stay tuned for more features: * client listener; let buffers stay stored in gpu until you send magic packet from server Disclaimer: Educational purposes only; authors of this project/demonstration are in no way, shape or form responsible for what you may use this for whether illegal or not. They provide no technical details about Demon keylogger other than to say it's a proof-of-concept that implements the malware described in this 2013 academic research paper titled You Can Type, but You Can’t Hide: A Stealthy GPU-based Keylogger. The Demon creators stress that they aren't associated with the researchers. http://www.cs.columbia.edu/~mikepo/papers/gpukeylogger.eurosec13.pdf "The key idea behind our approach is to monitor the system’s keyboard buffer directly from the GPU via DMA [direct memory access], without any hooks or modifications in the kernel's code and data structures besides the page table," the researchers behind the 2013 paper wrote. "The evaluation of our prototype implementation shows that a GPU-based keylogger can effectively record all user keystrokes, store them in the memory space of the GPU, and even analyze the recorded data in-place, with negligible runtime overhead." Aside from malware that taps GPUs to mint Bitcoin and other crypto currencies, Ars isn't aware of malicious software actively circulating in the wild that makes use of infected computers' graphics processors. And even then, most or all of those titles run mainly on the CPU and offload only the computationally intensive workloads to the GPU. In March, researchers from Kaspersky Lab documented highly sophisticated malware in the wild that infected firmware that runs 12 different models of hard drives. The group that created the malware had flown under the radar for 14 years. In its current form Jellyfish is likely to remain a highly niche undertaking, since it requires a dedicated GPU. Since many computers don't contain stand-alone graphics cards, such malware might greatly limit the machines that could be infected. Still, the approach may make sense in certain situations, say for attackers targeting gamers or video enthusiasts, or espionage campaigns where stealth is crucial. And as readers have pointed out in comments below, it's feasible malware could be developed that runs on graphics processors integrated into CPUs. Post updated to recast the last paragraph to account for integrated graphics processors, and to add details in the second-to-last paragraph about malware infecting hard-drive firmware. ---------------- https://www.phoronix.com/scan.php?page=news_item&px=Intel-SKL-BXT-Firmware-Blobs Intel Skylake & Broxton To Require Graphics Firmware Blobs Published on 05 June 2015 06:20 PM EDT Written by Michael Larabel in Intel Intel's upcoming Skylake and Broxton hardware will require some binary-only firmware blobs by the i915 DRM kernel graphics driver. Rodrigo Vivi of Intel's Open-Source Technology Center sent in the pull request for landing these binary files into the linux-firmware repository. Up to now there's been no i915 blobs within the linux-firmware tree. These first i915 DRM firmware blobs are for Skylake and Broxton for the GuC and DMC. DMC in this context is the Display Microcontroller, which is present in Skylake (Gen9) and newer and used within the display engine to save and restore its state when entering into low-power states and then resuming. The DMC is basically saving/restoring display registers across low-power states separate of the kernel. The GuC engine on Skylake is responsible for workload scheduling on the parallel graphics engines. Intel explained on 01.org, "GuC is designed to perform graphics workload scheduling on the various graphics parallel engines. In this scheduling model, host software submits work through one of the 256 graphics doorbells and this invokes the scheduling operation on the appropriate graphics engine. Scheduling operations include determining which workload to run next, submitting a workload to a command streamer, pre-empting existing workloads running on an engine, monitoring progress and notifying host SW when work is done." This page also seems to indicate that these firmware blobs are required by the DRM driver rather than being an optional add-on. The license of these firmware blobs also indicate that redistribution is only allowed in binary form without modification. Beyond that, "no reverse engineering, decompilation, or disassembly of this software is permitted." These new firmware blobs will certainly have some open-source enthusiasts less excited now about Skylake, Broadwell's successor beginning to ship later this year, and Broxton meanwhile is the new Atom SoC built using the Goldmont architecture and will feature Skylake graphics. If there's any good news out of the situation, at least Intel is shipping these firmware files early rather than NVIDIA that with their months-old hardware still hasn't released their GTX 900 Maxwell firmware files needed by the Nouveau driver to provide open-source hardware acceleration. AMD also tends to be timely with the releasing of their necessary binary-only GPU firmware files for the open-source Linux driver. _______________________________________________ The cryptography mailing list cryptography@metzdowd.com http://www.metzdowd.com/mailman/listinfo/cryptography