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Re: [PATCH net-next v3 1/2] dma-mapping: introduce DMA_ATTR_CC_DECRYPTED for pre-decrypted memory

by Jason Gunthorpe

On Thu, Mar 12, 2026 at 10:03:37AM +0100, Jiri Pirko wrote: > >Alot of device MMIO is decrypted by nature and can't be encrypted, so > >you'd have to use both flags. eg in VFIO we'd want to do this. > > Why both flags? Why MMIO flag is not enough? You still want to hit > "if (attrs & DMA_ATTR_MMIO) {" path, don't you? Because we will eventually have both decrypted and encrypted MMIO. > I mean, CC_DECRYPTED says the memory to be mapped was explicitly > decrypted before the call. MMIO was not explicitly decrypted, it is > decrypted by definition. For me that does not fit the CC_DECRYPTED > semantics. I would say CC_DECRYPTED means that pgprot_decrypted must be used to form a PTE, and !CC_DECRYPTED means that pgprot_encrypted() was used This flag should someday flow down into the vIOMMU driver and set the corresponding C bit the IOPTE (for AMD) exactly as the pgprot does. Less about set_memory_encrypted as that is only for DRAM. Jason

2 hours, 52 minutes

I HAVE RETRIEVED MY LOCKED BTC 🥳

by Ambrose MacQuoid

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5 hours, 50 minutes

Re: [PATCH net-next v3 1/2] dma-mapping: introduce DMA_ATTR_CC_DECRYPTED for pre-decrypted memory

by Jason Gunthorpe

On Mon, Mar 09, 2026 at 06:51:21PM +0100, Jiri Pirko wrote: > Mon, Mar 09, 2026 at 04:18:57PM +0100, jgg(a)ziepe.ca wrote: > >On Mon, Mar 09, 2026 at 04:02:33PM +0200, Leon Romanovsky wrote: > >> On Mon, Mar 09, 2026 at 10:15:30AM -0300, Jason Gunthorpe wrote: > >> > On Sun, Mar 08, 2026 at 12:19:48PM +0200, Leon Romanovsky wrote: > >> > > >> > > > +/* > >> > > > + * DMA_ATTR_CC_DECRYPTED: Indicates memory that has been explicitly decrypted > >> > > > + * (shared) for confidential computing guests. The caller must have > >> > > > + * called set_memory_decrypted(). A struct page is required. > >> > > > + */ > >> > > > +#define DMA_ATTR_CC_DECRYPTED (1UL << 12) > >> > > > >> > > While adding the new attribute is fine, I would expect additional checks in > >> > > dma_map_phys() to ensure the attribute cannot be misused. For example, > >> > > WARN_ON(attrs & (DMA_ATTR_CC_DECRYPTED | DMA_ATTR_MMIO)), along with a check > >> > > that we are taking the direct path only. > >> > > >> > DECRYPYED and MMIO is something that needs to work, VFIO (inside a > >> > TVM) should be using that combination. > >> > >> So this sentence "A struct page is required" from the comment above is > >> not accurate. > > > >It would be clearer to say "Unless DMA_ATTR_MMIO is provided a struct > >page is required" > > > >We need to audit if that works properly, IIRC it does, but I don't > >remember.. Jiri? > > How can you do set_memory_decrypted if you don't have page/folio ? Alot of device MMIO is decrypted by nature and can't be encrypted, so you'd have to use both flags. eg in VFIO we'd want to do this. Jason

14 hours, 23 minutes

[PATCH v8 0/7] Rust bindings for gem shmem + iosys_map

by Lyude Paul

This is the next version of the shmem backed GEM objects series originally from Asahi, previously posted by Daniel Almeida. One of the major changes in this patch series is a much better interface around vmaps, which we achieve by introducing a new set of rust bindings for iosys_map. The previous version of the patch series can be found here: https://patchwork.freedesktop.org/series/156093/ This patch series may be applied on top of the driver-core/driver-core-testing branch: https://git.kernel.org/pub/scm/linux/kernel/git/driver-core/driver-core.git… Changelogs are per-patch Asahi Lina (2): rust: helpers: Add bindings/wrappers for dma_resv_lock rust: drm: gem: shmem: Add DRM shmem helper abstraction Lyude Paul (5): rust: drm: Add gem::impl_aref_for_gem_obj! rust: drm: gem: Add raw_dma_resv() function rust: gem: Introduce DriverObject::Args rust: drm: gem: Introduce shmem::SGTable rust: drm/gem: Add vmap functions to shmem bindings drivers/gpu/drm/nova/gem.rs | 5 +- drivers/gpu/drm/tyr/gem.rs | 3 +- rust/bindings/bindings_helper.h | 3 + rust/helpers/dma-resv.c | 13 + rust/helpers/drm.c | 56 +++- rust/helpers/helpers.c | 1 + rust/kernel/drm/gem/mod.rs | 79 +++-- rust/kernel/drm/gem/shmem.rs | 529 ++++++++++++++++++++++++++++++++ 8 files changed, 667 insertions(+), 22 deletions(-) create mode 100644 rust/helpers/dma-resv.c create mode 100644 rust/kernel/drm/gem/shmem.rs -- 2.53.0

18 hours, 35 minutes

[PATCH v3 0/6] dma-buf: heaps: add coherent reserved-memory heap

by Albert Esteve

This patch series adds a new dma-buf heap driver that exposes coherent, non‑reusable reserved-memory regions as named heaps, so userspace can explicitly allocate buffers from those device‑specific pools. Motivation: we want cgroup accounting for all userspace‑visible buffer allocations (DRM, v4l2, dma‑buf heaps, etc.). That’s hard to do when drivers call dma_alloc_attrs() directly because the accounting controller (memcg vs dmem) is ambiguous. The long‑term plan is to steer those paths toward dma‑buf heaps, where each heap can unambiguously charge a single controller. To reach that goal, we need a heap backend for each dma_alloc_attrs() memory type. CMA and system heaps already exist; coherent reserved‑memory was the missing piece, since many SoCs define dedicated, device‑local coherent pools in DT under /reserved-memory using "shared-dma-pool" with non‑reusable regions (i.e., not CMA) that are carved out exclusively for coherent DMA and are currently only usable by in‑kernel drivers. Because these regions are device‑dependent, each heap instance binds a heap device to its reserved‑mem region via a newly introduced helper function -namely, of_reserved_mem_device_init_with_mem()- so coherent allocations use the correct dev->dma_mem. Charging to cgroups for these buffers is intentionally left out to keep review focused on the new heap; I plan to follow up based on Eric’s [1] and Maxime’s [2] work on dmem charging from userspace. This series also makes the new heap driver modular, in line with the CMA heap change in [3]. [1] https://lore.kernel.org/all/20260218-dmabuf-heap-cma-dmem-v2-0-b249886fb7b2… [2] https://lore.kernel.org/all/20250310-dmem-cgroups-v1-0-2984c1bc9312@kernel.… [3] https://lore.kernel.org/all/20260303-dma-buf-heaps-as-modules-v3-0-24344812… Signed-off-by: Albert Esteve <aesteve(a)redhat.com> --- Changes in v3: - Reorganized changesets among patches to ensure bisectability - Removed unused dma_heap_coherent_register() leftover - Removed fallback when setting mask in coherent heap dev, since dma_set_mask() already truncates to supported masks - Moved struct rmem_assigned_device (rd) logic to of_reserved_mem_device_init_with_mem() to allow listing the device - Link to v2: https://lore.kernel.org/r/20260303-b4-dmabuf-heap-coherent-rmem-v2-0-65a465… Changes in v2: - Removed dmem charging parts - Moved coherent heap registering logic to coherent.c - Made heap device a member of struct dma_heap - Split dma_heap_add logic into create/register, to be able to access the stored heap device before registered. - Avoid platform device in favour of heap device - Added a wrapper to rmem device_init() op - Switched from late_initcall() to module_init() - Made the coherent heap driver modular - Link to v1: https://lore.kernel.org/r/20260224-b4-dmabuf-heap-coherent-rmem-v1-1-dffef4… --- Albert Esteve (5): dma-buf: dma-heap: split dma_heap_add of_reserved_mem: add a helper for rmem device_init op dma: coherent: store reserved memory coherent regions dma-buf: heaps: Add Coherent heap to dmabuf heaps dma-buf: heaps: coherent: Turn heap into a module John Stultz (1): dma-buf: dma-heap: Keep track of the heap device struct drivers/dma-buf/dma-heap.c | 138 +++++++++-- drivers/dma-buf/heaps/Kconfig | 9 + drivers/dma-buf/heaps/Makefile | 1 + drivers/dma-buf/heaps/coherent_heap.c | 417 ++++++++++++++++++++++++++++++++++ drivers/of/of_reserved_mem.c | 68 ++++-- include/linux/dma-heap.h | 5 + include/linux/dma-map-ops.h | 7 + include/linux/of_reserved_mem.h | 8 + kernel/dma/coherent.c | 34 +++ 9 files changed, 640 insertions(+), 47 deletions(-) --- base-commit: 6de23f81a5e08be8fbf5e8d7e9febc72a5b5f27f change-id: 20260223-b4-dmabuf-heap-coherent-rmem-91fd3926afe9 Best regards, -- Albert Esteve <aesteve(a)redhat.com>

23 hours, 29 minutes

Re: [PATCH] lib/scatterlist: fix sg_page_count and sg_dma_page_count

by Jason Gunthorpe

On Wed, Mar 11, 2026 at 06:53:51AM +0000, Kasireddy, Vivek wrote: > So, given the current situation, what is the right thing to do? > Should we take your patch that brings back the pages array and treat it as > a temporary fix until equivalent folio based APIs are available? IMHO, yes. It saves memory, increases performance, fixes the bug and uses the APIs properly. Jason

1 day, 2 hours

I HAVE RETRIEVED MY LOCKED BTC 🥳

by Ambrose MacQuoid

1 day, 4 hours

Professional Digital Assets Recovery and Investigation Services

by Cryptera Chain Signals (CCS)

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In 2026, trusted digital assets recovery and investigation require caution, technical depth, and integrity. Firms like Cryptera Chain Signals (CCS) represent the kind of professional, evidence-based approach that prioritizes transparency and realistic outcomes in a high-risk and often exploitative field.

1 day, 12 hours

Best Fraud Investigation Services for Cryptocurrency Scams

by Cryptera Chain Signals (CCS)

Cryptocurrency scams continue to evolve rapidly in March 2026, with losses estimated in the tens of billions annually according to reports from firms like Chainalysis and TRM Labs. Schemes such as phishing, fake investment platforms, pig-butchering operations, rug pulls, and AI-enhanced impersonation fraud exploit blockchain's pseudonymity and irreversibility, leaving victims searching for ways to trace stolen funds and pursue accountability. Fraud investigation services in this space focus on blockchain forensics—analyzing public ledger data to reconstruct transaction flows, cluster addresses under common control, identify laundering techniques, and locate potential intervention points like regulated exchanges for asset freezes or law enforcement seizures. The field blends technical expertise with investigative rigor, but it's largely unregulated, creating a high risk of secondary scams. 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While no service guarantees recovery—due to laundering complexity, privacy tools, dispersal, or jurisdictional limits—professional blockchain investigation offers the clearest path to evidence and intervention. Early reporting, strong documentation, and vetted forensics remain key to any progress. For more on blockchain fraud investigation, forensic tracing methods, and realistic guidance for scam victims, visit https://www.crypterachainsignals.com/ or email info(a)crypterachainsignals.com. In 2026, trusted fraud investigation for cryptocurrency scams requires caution, technical depth, and integrity. Services like Cryptera Chain Signals (CCS) represent the kind of professional, evidence-based approach that prioritizes transparency and realistic outcomes in a high-risk and often exploitative field.

1 day, 12 hours

Professional Blockchain Transaction Tracing Services

by Cryptera Chain Signals (CCS)

Blockchain transaction tracing has become an essential service in the cryptocurrency ecosystem. As digital asset theft, scams, and fraud continue to cause billions in losses each year, the ability to follow funds across public ledgers offers victims, law enforcement, and institutions a path to clarity and potential intervention. While blockchain's immutable and pseudonymous design prevents direct reversals of transactions, professional tracing can reconstruct movement patterns, identify laundering techniques, cluster addresses under common control, and locate high-confidence endpoints—often centralized exchanges with KYC/AML compliance—where freeze requests or seizures become possible. Professional services in this field combine deep knowledge of blockchain protocols with advanced analytics tools. They analyze on-chain data (addresses, amounts, timestamps, transaction hashes) and apply behavioral heuristics to map complex flows that standard block explorers cannot follow. These services are particularly valuable in cases involving phishing, fake investment platforms, rug pulls, wallet compromises, or inheritance lockouts where access is lost but funds remain traceable. Cryptera Chain Signals (CCS) is a firm that exemplifies professional blockchain transaction tracing. With 28 years of experience in digital investigations—long before cryptocurrencies became mainstream—CCS focuses on forensic-grade analysis rather than speculative promises. Their work supports scam victims, legal teams, and organizations by delivering detailed, evidence-based insights into fund movements. Core Components of Professional Tracing Secure Case Intake and Evidence Gathering The process starts with a confidential consultation. Clients provide transaction hashes (TXIDs), wallet addresses, timestamps, scam communications, and supporting evidence without sharing private keys or seed phrases. This step ensures security and allows investigators to assess feasibility honestly from the outset. Initial Transaction Lookup and Graph Construction Using public blockchain nodes and APIs, experts retrieve the full transaction history linked to the provided TXIDs. They construct directed graphs showing inflows, outflows, splits, and consolidations. Visualization tools make it easier to see branching paths and consolidation points early on. 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This multi-layer approach is what separates basic explorers from advanced forensics. Endpoint Identification and Risk Scoring Analysts cross-reference clustered addresses against known exchange deposit patterns, historical wallet data, and compliance databases. High-confidence endpoints—centralized platforms requiring KYC/AML—are prioritized because they enable freeze requests. Each cluster receives a confidence or risk score based on laundering complexity and endpoint type. Forensic Report Production Findings are compiled into a detailed, court-admissible report that includes: Visualized transaction flow diagrams Clustered addresses with confidence levels Identified laundering techniques Probable endpoints and recommended next steps (freeze requests, law enforcement filings) These reports serve as credible evidence for exchange compliance teams, regulators, or authorities such as the FBI’s Internet Crime Complaint Center (IC3). 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For more information on professional blockchain transaction tracing, forensic methodologies, and realistic guidance, visit https://www.crypterachainsignals.com/ or email info(a)crypterachainsignals.com. In 2026, blockchain investigation turns the transparency of public ledgers into a powerful tool for tracking stolen or lost funds. Firms like Cryptera Chain Signals (CCS) exemplify how disciplined, ethical forensics can deliver clarity, support intervention when possible, and help victims navigate the complexities of cryptocurrency crime with integrity and precision.

1 day, 12 hours

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