To handle this hole and assist the ecosystem with deploying strong defenses, Google has supported educational analysis and developed check platforms to research DDR5 reminiscence. Our effort has led to the invention of recent assaults and a deeper understanding of Rowhammer on the present DRAM modules, serving to to forge the best way for additional, stronger mitigations.
What’s Rowhammer?
Rowhammer exploits a vulnerability in DRAM. DRAM cells retailer information as electrical costs, however these electrical costs leak over time, inflicting information corruption. To stop information loss, the reminiscence controller periodically refreshes the cells. Nonetheless, if a cell discharges earlier than the refresh cycle, its saved bit might corrupt. Initially thought of a reliability subject, it has been leveraged by safety researchers to reveal privilege escalation assaults. By repeatedly accessing a reminiscence row, an attacker may cause bit flips in neighboring rows. An adversary can exploit Rowhammer by way of:
Reliably trigger bit flips by repeatedly accessing adjoining DRAM rows.
Coerce different functions or the OS into utilizing these weak reminiscence pages.
Goal security-sensitive code or information to realize privilege escalation.
Or just corrupt system’s reminiscence to trigger denial of service.
Earlier work has repeatedly demonstrated the potential of such assaults from software program [Revisiting rowhammer, Are we susceptible to rowhammer?, Drammer, Flip feng shui, Jolt]. Consequently, defending in opposition to Rowhammer is required for safe isolation in multi-tenant environments just like the cloud.
Rowhammer Mitigations
The first method to mitigate Rowhammer is to detect which reminiscence rows are being aggressively accessed and refreshing close by rows earlier than a bit flip happens. TRR is a typical instance, which makes use of numerous counters to trace accesses to a small variety of rows adjoining to a possible sufferer row. If the entry rely for these aggressor rows reaches a sure threshold, the system points a refresh to the sufferer row. TRR could be included throughout the DRAM or within the host CPU.
Nonetheless, this mitigation shouldn’t be foolproof. For instance, the TRRespass assault confirmed that by concurrently hammering a number of, non-adjacent rows, TRR could be bypassed. Over the previous couple of years, extra refined assaults [Half-Double, Blacksmith] have emerged, introducing extra environment friendly assault patterns.
In response, certainly one of our efforts was to collaborate with JEDEC, exterior researchers, and consultants to outline the PRAC as a brand new mitigation that deterministically detects Rowhammer by monitoring all reminiscence rows.
Nonetheless, present techniques geared up with DDR5 lack help for PRAC or different strong mitigations. Consequently, they depend on probabilistic approaches resembling ECC and enhanced TRR to cut back the danger. Whereas these measures have mitigated older assaults, their general effectiveness in opposition to new strategies was not absolutely understood till our current findings.
Challenges with Rowhammer Evaluation
Mitigating Rowhammer assaults entails making it troublesome for an attacker to reliably trigger bit flips from software program. Subsequently, for an efficient mitigation, we have now to grasp how a decided adversary introduces reminiscence accesses that bypass current mitigations. Three key data elements can assist with such an evaluation:
How the improved TRR and in-DRAM ECC work.
How reminiscence entry patterns from software program translate into low-level DDR instructions.
(Optionally) How any mitigations (e.g., ECC or TRR) within the host processor work.
Step one is especially difficult and entails reverse-engineering the proprietary in-DRAM TRR mechanism, which varies considerably between completely different producers and gadget fashions. This course of requires the flexibility to subject exact DDR instructions to DRAM and analyze its responses, which is troublesome on an off-the-shelf system. Subsequently, specialised check platforms are important.
The second and third steps contain analyzing the DDR site visitors between the host processor and the DRAM. This may be performed utilizing an off-the-shelf interposer, a device that sits between the processor and DRAM. A vital a part of this evaluation is knowing how a stay system interprets software-level reminiscence accesses into the DDR protocol.
The third step, which entails analyzing host-side mitigations, is typically optionally available. For instance, host-side ECC (Error Correcting Code) is enabled by default on servers, whereas host-side TRR has solely been carried out in some CPUs.
Rowhammer testing platforms
For the primary problem, we partnered with Antmicro to develop two specialised, open-source FPGA-based Rowhammer check platforms. These platforms enable us to conduct in-depth testing on various kinds of DDR5 modules.
DDR5 RDIMM Platform: A brand new DDR5 Tester board to satisfy the {hardware} necessities of Registered DIMM (RDIMM) reminiscence, frequent in server computer systems.
SO-DIMM Platform: A model that helps the usual SO-DIMM pinout appropriate with off-the-shelf DDR5 SO-DIMM reminiscence sticks, frequent in workstations and end-user gadgets.
Antmicro designed and manufactured these open-source platforms and we labored intently with them, and researchers from ETH Zurich, to check the applicability of those platforms for analyzing off-the-shelf reminiscence modules in RDIMM and SO-DIMM types.
Antmicro DDR5 RDIMM FPGA check platform in motion.
Phoenix Assaults on DDR5
In collaboration with researchers from ETH, we utilized the brand new Rowhammer check platforms to judge the effectiveness of present in-DRAM DDR5 mitigations. Our findings, detailed within the not too long ago co-authored “Phoenix” analysis paper, reveal that we efficiently developed customized assault patterns able to bypassing enhanced TRR (Goal Row Refresh) protection on DDR5 reminiscence. We had been in a position to create a novel self-correcting refresh synchronization assault approach, which allowed us to carry out the first-ever Rowhammer privilege escalation exploit on an ordinary, production-grade desktop system geared up with DDR5 reminiscence. Whereas this experiment was carried out on an off-the-shelf workstation geared up with current AMD Zen processors and SK Hynix DDR5 reminiscence, we proceed to analyze the applicability of our findings to different {hardware} configurations.
Classes discovered
We confirmed that present mitigations for Rowhammer assaults usually are not enough, and the problem stays a widespread downside throughout the business. They do make it tougher “however not inconceivable” to hold out assaults, since an attacker wants an in-depth understanding of the precise reminiscence subsystem structure they want to goal.
Present mitigations based mostly on TRR and ECC depend on probabilistic countermeasures which have inadequate entropy. As soon as an analyst understands how TRR operates, they will craft particular reminiscence entry patterns to bypass it. Moreover, present ECC schemes weren’t designed as a safety measure and are due to this fact incapable of reliably detecting errors.
Reminiscence encryption is an alternate countermeasure for Rowhammer. Nonetheless, our present evaluation is that with out cryptographic integrity, it provides no precious protection in opposition to Rowhammer. Extra analysis is required to develop viable, sensible encryption and integrity options.
Path ahead
Google has been a pacesetter in JEDEC standardization efforts, for example with PRAC, a completely accredited commonplace to be supported in upcoming variations of DDR5/LPDDR6. It really works by precisely counting the variety of instances a DRAM wordline is activated and alerts the system if an extreme variety of activations is detected. This shut coordination between the DRAM and the system offers PRAC a dependable technique to handle Rowhammer.
Within the meantime, we proceed to judge and enhance different countermeasures to make sure our workloads are resilient in opposition to Rowhammer. We collaborate with our educational and business companions to enhance evaluation strategies and check platforms, and to share our findings with the broader ecosystem.
Need to study extra?
“Phoenix: Rowhammer Assaults on DDR5 with Self-Correcting Synchronization” shall be offered at IEEE Safety & Privateness 2026 in San Francisco, CA (MAY 18-21, 2026).
