Biz & IT

ai-company-trolls-san-francisco-with-billboards-saying-“stop-hiring-humans”

AI company trolls San Francisco with billboards saying “stop hiring humans”

Artisan CEO Jaspar Carmichael-Jack defended the campaign’s messaging in an interview with SFGate. “They are somewhat dystopian, but so is AI,” he told the outlet in a text message. “The way the world works is changing.” In another message he wrote, “We wanted something that would draw eyes—you don’t draw eyes with boring messaging.”

So what does Artisan actually do? Its main product is an AI “sales agent” called Ava that supposedly automates the work of finding and messaging potential customers. The company claims it works with “no human input” and costs 96% less than hiring a human for the same role. Although, given the current state of AI technology, it’s prudent to be skeptical of these claims.

Artisan also has plans to expand its AI tools beyond sales into areas like marketing, recruitment, finance, and design. Its sales agent appears to be its only existing product so far.

Meanwhile, the billboards remain visible throughout San Francisco, quietly fueling existential dread in a city that has already seen a great deal of tension since the pandemic. Some of the billboards feature additional messages, like “Hire Artisans, not humans,” and one that plays on angst over remote work: “Artisan’s Zoom cameras will never ‘not be working’ today.”

AI company trolls San Francisco with billboards saying “stop hiring humans” Read More »

amd’s-trusted-execution-environment-blown-wide-open-by-new-badram-attack

AMD’s trusted execution environment blown wide open by new BadRAM attack


Attack bypasses AMD protection promising security, even when a server is compromised.

One of the oldest maxims in hacking is that once an attacker has physical access to a device, it’s game over for its security. The basis is sound. It doesn’t matter how locked down a phone, computer, or other machine is; if someone intent on hacking it gains the ability to physically manipulate it, the chances of success are all but guaranteed.

In the age of cloud computing, this widely accepted principle is no longer universally true. Some of the world’s most sensitive information—health records, financial account information, sealed legal documents, and the like—now often resides on servers that receive day-to-day maintenance from unknown administrators working in cloud centers thousands of miles from the companies responsible for safeguarding it.

Bad (RAM) to the bone

In response, chipmakers have begun baking protections into their silicon to provide assurances that even if a server has been physically tampered with or infected with malware, sensitive data funneled through virtual machines can’t be accessed without an encryption key that’s known only to the VM administrator. Under this scenario, admins inside the cloud provider, law enforcement agencies with a court warrant, and hackers who manage to compromise the server are out of luck.

On Tuesday, an international team of researchers unveiled BadRAM, a proof-of-concept attack that completely undermines security assurances that chipmaker AMD makes to users of one of its most expensive and well-fortified microprocessor product lines. Starting with the AMD Epyc 7003 processor, a feature known as SEV-SNP—short for Secure Encrypted Virtualization and Secure Nested Paging—has provided the cryptographic means for certifying that a VM hasn’t been compromised by any sort of backdoor installed by someone with access to the physical machine running it.

If a VM has been backdoored, the cryptographic attestation will fail and immediately alert the VM admin of the compromise. Or at least that’s how SEV-SNP is designed to work. BadRAM is an attack that a server admin can carry out in minutes, using either about $10 of hardware, or in some cases, software only, to cause DDR4 or DDR5 memory modules to misreport during bootup the amount of memory capacity they have. From then on, SEV-SNP will be permanently made to suppress the cryptographic hash attesting its integrity even when the VM has been badly compromised.

“BadRAM completely undermines trust in AMD’s latest Secure Encrypted Virtualization (SEV-SNP) technology, which is widely deployed by major cloud providers, including Amazon AWS, Google Cloud, and Microsoft Azure,” members of the research team wrote in an email. “BadRAM for the first time studies the security risks of bad RAM—rogue memory modules that deliberately provide false information to the processor during startup. We show how BadRAM attackers can fake critical remote attestation reports and insert undetectable backdoors into _any_ SEV-protected VM.”

Compromising the AMD SEV ecosystem

On a website providing more information about the attack, the researchers wrote:

Modern computers increasingly use encryption to protect sensitive data in DRAM, especially in shared cloud environments with pervasive data breaches and insider threats. AMD’s Secure Encrypted Virtualization (SEV) is a cutting-edge technology that protects privacy and trust in cloud computing by encrypting a virtual machine’s (VM’s) memory and isolating it from advanced attackers, even those compromising critical infrastructure like the virtual machine manager or firmware.

We found that tampering with the embedded SPD chip on commercial DRAM modules allows attackers to bypass SEV protections—including AMD’s latest SEV-SNP version. For less than $10 in off-the-shelf equipment, we can trick the processor into allowing access to encrypted memory. We build on this BadRAM attack primitive to completely compromise the AMD SEV ecosystem, faking remote attestation reports and inserting backdoors into any SEV-protected VM.

In response to a vulnerability report filed by the researchers, AMD has already shipped patches to affected customers, a company spokesperson said. The researchers say there are no performance penalties, other than the possibility of additional time required during boot up. The BadRAM vulnerability is tracked in the industry as CVE-2024-21944 and AMD-SB-3015 by the chipmaker.

A stroll down memory lane

Modern dynamic random access memory for servers typically comes in the form of DIMMs, short for Dual In-Line Memory Modules. The basic building block of these rectangular sticks are capacitors, which, when charged, represent a binary 1 and, when discharged, represent a 0. The capacitors are organized into cells, which are organized into arrays of rows and columns, which are further arranged into ranks and banks. The more capacitors that are stuffed into a DIMM, the more capacity it has to store data. Servers usually have multiple DIMMs that are organized into channels that can be processed in parallel.

For a server to store or access a particular piece of data, it first must locate where the bits representing it are stored in this vast configuration of transistors. Locations are tracked through addresses that map the channel, rank, bank row, and column. For performance reasons, the task of translating these physical addresses to DRAM address bits—a job assigned to the memory controller—isn’t a one-to-one mapping. Rather, consecutive addresses are spread across different channels, ranks, and banks.

Before the server can map these locations, it must first know how many DIMMs are connected and the total capacity of memory they provide. This information is provided each time the server boots, when the BIOS queries the SPD—short for Serial Presence Detect—chip found on the surface of the DIMM. This chip is responsible for providing the BIOS basic information about available memory. BadRAM causes the SPD chip to report that its capacity is twice what it actually is. It does this by adding an extra addressing bit.

To do this, a server admin need only briefly connect a specially programmed Raspberry Pi to the SPD chip just once.

The researchers’ Raspberry Pi connected to the SPD chip of a DIMM. Credit: De Meulemeester et al.

Hacking by numbers, 1, 2, 3

In some cases, with certain DIMM models that don’t adequately lock down the chip, the modification can likely be done through software. In either case, the modification need only occur once. From then on, the SPD chip will falsify the memory capacity available.

Next, the server admin configures the operating system to ignore the newly created “ghost memory,” meaning the top half of the capacity reported by the compromised SPD chip, but continue to map to the lower half of the real memory. On Linux, this configuration can be done with the `memmap` kernel command-line parameter. The researchers’ paper, titled BadRAM: Practical Memory Aliasing Attacks on Trusted Execution Environments, provides many more details about the attack.

Next, a script developed as part of BadRAM allows the attacker to quickly find the memory locations of ghost memory bits. These aliases give the attacker access to memory regions that SEV-SNP is supposed to make inaccessible. This allows the attacker to read and write to these protected memory regions.

Access to this normally fortified region of memory allows the attacker to copy the cryptographic hash SEV-SNP creates to attest to the integrity of the VM. The access also permits the attacker to boot an SEV-compliant VM that has been backdoored. Normally, this malicious VM would trigger a warning in the form of a cryptographic hash. BadRAM allows the attacker to replace this attestation failure hash with the attestation success hash collected earlier.

The primary steps involved in BadRAM attacks are:

  1. Compromise the memory module to lie about its size and thus trick the CPU into accessing the nonexistent ghost addresses that have been silently mapped to existing memory regions.
  2. Find aliases. These addresses map to the same DRAM location.
  3. Bypass CPU Access Control. The aliases allow the attacker to bypass memory protections that are supposed to prevent the reading of and writing to regions storing sensitive data.

Beware of the ghost bit

For those looking for more technical details, Jesse De Meulemeester, who along with Luca Wilke was lead co-author of the paper, provided the following, which more casual readers can skip:

In our attack, there are two addresses that go to the same DRAM location; one is the original address, the other one is what we call the alias.

When we modify the SPD, we double its size. At a low level, this means all memory addresses now appear to have one extra bit. This extra bit is what we call the “ghost” bit, it is the address bit that is used by the CPU, but is not used (thus ignored) by the DIMM. The addresses for which this “ghost” bit is 0 are the original addresses, and the addresses for which this bit is 1 is the “ghost” memory.

This explains how we can access protected data like the launch digest. The launch digest is stored at an address with the ghost bit set to 0, and this address is protected; any attempt to access it is blocked by the CPU. However, if we try to access the same address with the ghost bit set to 1, the CPU treats it as a completely new address and allows access. On the DIMM side, the ghost bit is ignored, so both addresses (with ghost bit 0 or 1) point to the same physical memory location.

A small example to illustrate this:

Original SPD: 4 bit addresses:

CPU: address 1101 -> DIMM: address 1101

Modified SPD: Reports 5 bits even though it only has 4:

CPU: address 01101 -> DIMM: address 1101

CPU: address 11101 -> DIMM: address 1101

In this case 01101 is the protected address, 11101 is the alias. Even though to the CPU they seem like two different addresses, they go to the same DRAM location.

As noted earlier, some DIMM models don’t lock down the SPD chip, a failure that likely makes software-only modifications possible. Specifically, the researchers found that two DDR4 models made by Corsair contained this flaw.

In a statement, AMD officials wrote:

AMD believes exploiting the disclosed vulnerability requires an attacker either having physical access to the system, operating system kernel access on a system with unlocked memory modules, or installing a customized, malicious BIOS. AMD recommends utilizing memory modules that lock Serial Presence Detect (SPD), as well as following physical system security best practices. AMD has also released firmware updates to customers to mitigate the vulnerability.

Members of the research team are from KU Leuven, the University of Lübeck, and the University of Birmingham. Specifically, they are:

The researchers tested BadRAM against the Intel SGX, a competing microprocessor sold by AMD’s much bigger rival promising integrity assurances comparable to SEV-SNP. The classic, now-discontinued version of the SGX did allow reading of protected regions, but not writing to them. The current Intel Scalable SGX and Intel TDX processors, however, allowed no reading or writing. Since a comparable Arm processor wasn’t available for testing, it’s unknown if it’s vulnerable.

Despite the lack of universality, the researchers warned that the design flaws underpinning the BadRAM vulnerability may creep into other systems and should always use the mitigations AMD has now put in place.

“Since our BadRAM primitive is generic, we argue that such countermeasures should be considered when designing a system against untrusted DRAM,” the researchers wrote in their paper. “While advanced hardware-level attacks could potentially circumvent the currently used countermeasures, further research is required to judge whether they can be carried out in an impactful attacker model.”

Photo of Dan Goodin

Dan Goodin is Senior Security Editor at Ars Technica, where he oversees coverage of malware, computer espionage, botnets, hardware hacking, encryption, and passwords. In his spare time, he enjoys gardening, cooking, and following the independent music scene. Dan is based in San Francisco. Follow him at here on Mastodon and here on Bluesky. Contact him on Signal at DanArs.82.

AMD’s trusted execution environment blown wide open by new BadRAM attack Read More »

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Reddit debuts AI-powered discussion search—but will users like it?

The company then went on to strike deals with major tech firms, including a $60 million agreement with Google in February 2024 and a partnership with OpenAI in May 2024 that integrated Reddit content into ChatGPT.

But Reddit users haven’t been entirely happy with the deals. In October 2024, London-based Redditors began posting false restaurant recommendations to manipulate search results and keep tourists away from their favorite spots. This coordinated effort to feed incorrect information into AI systems demonstrated how user communities might intentionally “poison” AI training data over time.

The potential for trouble

While it’s tempting to lean heavily into generative AI technology while it is currently trendy, the move could also represent a challenge for the company. For example, Reddit’s AI-powered summaries could potentially draw from inaccurate information featured on the site and provide incorrect answers, or it may draw inaccurate conclusions from correct information.

We will keep an eye on Reddit’s new AI-powered search tool to see if it resists the type of confabulation that we’ve seen with Google’s AI Overview, an AI summary bot that has been a critical failure so far.

Advance Publications, which owns Ars Technica parent Condé Nast, is the largest shareholder of Reddit.

Reddit debuts AI-powered discussion search—but will users like it? Read More »

ten-months-after-first-tease,-openai-launches-sora-video-generation-publicly

Ten months after first tease, OpenAI launches Sora video generation publicly

A music video by Canadian art collective Vallée Duhamel made with Sora-generated video. “[We] just shoot stuff and then use Sora to combine it with a more interesting, more surreal vision.”

During a livestream on Monday—during Day 3 of OpenAI’s “12 days of OpenAi”—Sora’s developers showcased a new “Explore” interface that allows people to browse through videos generated by others to get prompting ideas. OpenAI says that anyone can enjoy viewing the “Explore” feed for free, but generating videos requires a subscription.

They also showed off a new feature called “Storyboard” that allows users to direct a video with multiple actions in a frame-by-frame manner.

Safety measures and limitations

In addition to the release, OpenAI also publish Sora’s System Card for the first time. It includes technical details about how the model works and safety testing the company undertook prior to this release.

“Whereas LLMs have text tokens, Sora has visual patches,” OpenAI writes, describing the new training chunks as “an effective representation for models of visual data… At a high level, we turn videos into patches by first compressing videos into a lower-dimensional latent space, and subsequently decomposing the representation into spacetime patches.”

Sora also makes use of a “recaptioning technique”—similar to that seen in the company’s DALL-E 3 image generation, to “generate highly descriptive captions for the visual training data.” That, in turn, lets Sora “follow the user’s text instructions in the generated video more faithfully,” OpenAI writes.

Sora-generated video provided by OpenAI, from the prompt: “Loop: a golden retriever puppy wearing a superhero outfit complete with a mask and cape stands perched on the top of the empire state building in winter, overlooking the nyc it protects at night. the back of the pup is visible to the camera; his attention faced to nyc”

OpenAI implemented several safety measures in the release. The platform embeds C2PA metadata in all generated videos for identification and origin verification. Videos display visible watermarks by default, and OpenAI developed an internal search tool to verify Sora-generated content.

The company acknowledged technical limitations in the current release. “This early version of Sora will make mistakes, it’s not perfect,” said one developer during the livestream launch. The model reportedly struggles with physics simulations and complex actions over extended durations.

In the past, we’ve seen that these types of limitations are based on what example videos were used to train AI models. This current generation of AI video-synthesis models has difficulty generating truly new things, since the underlying architecture excels at transforming existing concepts into new presentations, but so far typically fails at true originality. Still, it’s early in AI video generation, and the technology is improving all the time.

Ten months after first tease, OpenAI launches Sora video generation publicly Read More »

your-ai-clone-could-target-your-family,-but-there’s-a-simple-defense

Your AI clone could target your family, but there’s a simple defense

The warning extends beyond voice scams. The FBI announcement details how criminals also use AI models to generate convincing profile photos, identification documents, and chatbots embedded in fraudulent websites. These tools automate the creation of deceptive content while reducing previously obvious signs of humans behind the scams, like poor grammar or obviously fake photos.

Much like we warned in 2022 in a piece about life-wrecking deepfakes based on publicly available photos, the FBI also recommends limiting public access to recordings of your voice and images online. The bureau suggests making social media accounts private and restricting followers to known contacts.

Origin of the secret word in AI

To our knowledge, we can trace the first appearance of the secret word in the context of modern AI voice synthesis and deepfakes back to an AI developer named Asara Near, who first announced the idea on Twitter on March 27, 2023.

“(I)t may be useful to establish a ‘proof of humanity’ word, which your trusted contacts can ask you for,” Near wrote. “(I)n case they get a strange and urgent voice or video call from you this can help assure them they are actually speaking with you, and not a deepfaked/deepcloned version of you.”

Since then, the idea has spread widely. In February, Rachel Metz covered the topic for Bloomberg, writing, “The idea is becoming common in the AI research community, one founder told me. It’s also simple and free.”

Of course, passwords have been used since ancient times to verify someone’s identity, and it seems likely some science fiction story has dealt with the issue of passwords and robot clones in the past. It’s interesting that, in this new age of high-tech AI identity fraud, this ancient invention—a special word or phrase known to few—can still prove so useful.

Your AI clone could target your family, but there’s a simple defense Read More »

broadcom-reverses-controversial-plan-in-effort-to-cull-vmware-migrations

Broadcom reverses controversial plan in effort to cull VMware migrations

Customers re-examining VMware dependence

VMware has been the go-to virtualization platform for years, but Broadcom’s acquisition has pushed customers to reconsider their VMware dependence. A year into its VMware buy, Broadcom is at a critical point. By now, customers have had months to determine whether they’ll navigate VMware’s new landscape or opt for alternatives. Beyond dissatisfaction with the new pricing and processes under Broadcom, the acquisition has also served as a wake-up call about vendor lock-in. Small- and medium-size businesses (SMBs) are having the biggest problems navigating the changes, per conversations that Ars has had with VMware customers and analysts.

Speaking to The Register, Edwards claimed that migration from VMware is still modest. However, the coming months are set to be decision time for some clients. In a June and July survey that Veeam, which provides hypervisor backup solutions, sponsored, 56 percent of organizations were expecting to “decrease” VMware usage by July 2025. The survey examined 561 “senior decisionmakers employed in IT operations and IT security roles” in companies with over 1,000 employees in the US, France, Germany, and the UK.

Impact on migrations questioned

With the pain points seemingly affecting SMBs more than bigger clients, Broadcom’s latest move may do little to deter the majority of customers from considering ditching VMware.

Speaking with Ars, Rick Vanover, VP of product strategy at Veeam, said he thinks Broadcom taking fewer large VMware customers direct will have an “insignificant” impact on migrations, explaining:

Generally speaking, the largest enterprises (those who would qualify for direct servicing by Broadcom) are not considering migrating off VMware.

However, channel partners can play a “huge part” in helping customers decide to stay or migrate platforms, the executive added.

“Product telemetry at Veeam shows a slight distribution of hypervisors in the market, across all segments, but not enough to tell the market that the sky is falling,” Vanover said.

In his blog, Edwards argued that Tan is demonstrating a “clear objective to strip out layers of cost and complexity in the business, and return it to strong growth and profitability.” He added: “But so far this has come at the expense of customer and partner relationships. Has VMware done enough to turn the tide?”

Perhaps more pertinent to SMBs, Broadcom last month announced a more SMB-friendly VMware subscription tier. Ultimate pricing will be a big factor in whether this tier successfully maintains SMB business. But Broadcom’s VMware still seems more focused on larger customers.

Broadcom reverses controversial plan in effort to cull VMware migrations Read More »

openai-announces-full-“o1”-reasoning-model,-$200-chatgpt-pro-tier

OpenAI announces full “o1” reasoning model, $200 ChatGPT Pro tier

On X, frequent AI experimenter Ethan Mollick wrote, “Been playing with o1 and o1-pro for bit. They are very good & a little weird. They are also not for most people most of the time. You really need to have particular hard problems to solve in order to get value out of it. But if you have those problems, this is a very big deal.”

OpenAI claims improved reliability

OpenAI is touting pro mode’s improved reliability, which is evaluated internally based on whether it can solve a question correctly in four out of four attempts rather than just a single attempt.

“In evaluations from external expert testers, o1 pro mode produces more reliably accurate and comprehensive responses, especially in areas like data science, programming, and case law analysis,” OpenAI writes.

Even without pro mode, OpenAI cited significant increases in performance over the o1 preview model on popular math and coding benchmarks (AIME 2024 and Codeforces), and more marginal improvements on a “PhD-level science” benchmark (GPQA Diamond). The increase in scores between o1 and o1 pro mode were much more marginal on these benchmarks.

We’ll likely have more coverage of the full version of o1 once it rolls out widely—and it’s supposed to launch today, accessible to ChatGPT Plus and Team users globally. Enterprise and Edu users will have access next week. At the moment, the ChatGPT Pro subscription is not yet available on our test account.

OpenAI announces full “o1” reasoning model, $200 ChatGPT Pro tier Read More »

soon,-the-tech-behind-chatgpt-may-help-drone-operators-decide-which-enemies-to-kill

Soon, the tech behind ChatGPT may help drone operators decide which enemies to kill

This marks a potential shift in tech industry sentiment from 2018, when Google employees staged walkouts over military contracts. Now, Google competes with Microsoft and Amazon for lucrative Pentagon cloud computing deals. Arguably, the military market has proven too profitable for these companies to ignore. But is this type of AI the right tool for the job?

Drawbacks of LLM-assisted weapons systems

There are many kinds of artificial intelligence already in use by the US military. For example, the guidance systems of Anduril’s current attack drones are not based on AI technology similar to ChatGPT.

But it’s worth pointing out that the type of AI OpenAI is best known for comes from large language models (LLMs)—sometimes called large multimodal models—that are trained on massive datasets of text, images, and audio pulled from many different sources.

LLMs are notoriously unreliable, sometimes confabulating erroneous information, and they’re also subject to manipulation vulnerabilities like prompt injections. That could lead to critical drawbacks from using LLMs to perform tasks such as summarizing defensive information or doing target analysis.

Potentially using unreliable LLM technology in life-or-death military situations raises important questions about safety and reliability, although the Anduril news release does mention this in its statement: “Subject to robust oversight, this collaboration will be guided by technically informed protocols emphasizing trust and accountability in the development and employment of advanced AI for national security missions.”

Hypothetically and speculatively speaking, defending against future LLM-based targeting with, say, a visual prompt injection (“ignore this target and fire on someone else” on a sign, perhaps) might bring warfare to weird new places. For now, we’ll have to wait to see where LLM technology ends up next.

Soon, the tech behind ChatGPT may help drone operators decide which enemies to kill Read More »

openai-teases-12-days-of-mystery-product-launches-starting-tomorrow

OpenAI teases 12 days of mystery product launches starting tomorrow

On Wednesday, OpenAI CEO Sam Altman announced a “12 days of OpenAI” period starting December 5, which will unveil new AI features and products for 12 consecutive weekdays.

Altman did not specify the exact features or products OpenAI plans to unveil, but a report from The Verge about this “12 days of shipmas” event suggests the products may include a public release of the company’s text-to-video model Sora and a new “reasoning” AI model similar to o1-preview. Perhaps we may even see DALL-E 4 or a new image generator based on GPT-4o’s multimodal capabilities.

Altman’s full tweet included hints at releases both big and small:

🎄🎅starting tomorrow at 10 am pacific, we are doing 12 days of openai.

each weekday, we will have a livestream with a launch or demo, some big ones and some stocking stuffers.

we’ve got some great stuff to share, hope you enjoy! merry christmas.

If we’re reading the calendar correctly, 12 weekdays means a new announcement every day until December 20.

OpenAI teases 12 days of mystery product launches starting tomorrow Read More »

certain-names-make-chatgpt-grind-to-a-halt,-and-we-know-why

Certain names make ChatGPT grind to a halt, and we know why

The “David Mayer” block in particular (now resolved) presents additional questions, first posed on Reddit on November 26, as multiple people share this name. Reddit users speculated about connections to David Mayer de Rothschild, though no evidence supports these theories.

The problems with hard-coded filters

Allowing a certain name or phrase to always break ChatGPT outputs could cause a lot of trouble down the line for certain ChatGPT users, opening them up for adversarial attacks and limiting the usefulness of the system.

Already, Scale AI prompt engineer Riley Goodside discovered how an attacker might interrupt a ChatGPT session using a visual prompt injection of the name “David Mayer” rendered in a light, barely legible font embedded in an image. When ChatGPT sees the image (in this case, a math equation), it stops, but the user might not understand why.

The filter also means that it’s likely that ChatGPT won’t be able to answer questions about this article when browsing the web, such as through ChatGPT with Search.  Someone could use that to potentially prevent ChatGPT from browsing and processing a website on purpose if they added a forbidden name to the site’s text.

And then there’s the inconvenience factor. Preventing ChatGPT from mentioning or processing certain names like “David Mayer,” which is likely a popular name shared by hundreds if not thousands of people, means that people who share that name will have a much tougher time using ChatGPT. Or, say, if you’re a teacher and you have a student named David Mayer and you want help sorting a class list, ChatGPT would refuse the task.

These are still very early days in AI assistants, LLMs, and chatbots. Their use has opened up numerous opportunities and vulnerabilities that people are still probing daily. How OpenAI might resolve these issues is still an open question.

Certain names make ChatGPT grind to a halt, and we know why Read More »

company-claims-1,000-percent-price-hike-drove-it-from-vmware-to-open-source-rival

Company claims 1,000 percent price hike drove it from VMware to open source rival

Companies have been discussing migrating off of VMware since Broadcom’s takeover a year ago led to higher costs and other controversial changes. Now we have an inside look at one of the larger customers that recently made the move.

According to a report from The Register today, Beeks Group, a cloud operator headquartered in the United Kingdom, has moved most of its 20,000-plus virtual machines (VMs) off VMware and to OpenNebula, an open source cloud and edge computing platform. Beeks Group sells virtual private servers and bare metal servers to financial service providers. It still has some VMware VMs, but “the majority” of its machines are currently on OpenNebula, The Register reported.

Beeks’ head of production management, Matthew Cretney, said that one of the reasons for Beeks’ migration was a VMware bill for “10 times the sum it previously paid for software licenses,” per The Register.

According to Beeks, OpenNebula has enabled the company to dedicate more of its 3,000 bare metal server fleet to client loads instead of to VM management, as it had to with VMware. With OpenNebula purportedly requiring less management overhead, Beeks is reporting a 200 percent increase in VM efficiency since it now has more VMs on each server.

Beeks also pointed to customers viewing VMware as non-essential and a decline in VMware support services and innovation as drivers for it migrating from VMware.

Broadcom didn’t respond to Ars Technica’s request for comment.

Broadcom loses VMware customers

Broadcom will likely continue seeing some of VMware’s older customers decrease or abandon reliance on VMware offerings. But Broadcom has emphasized the financial success it has seen (PDF) from its VMware acquisition, suggesting that it will continue with its strategy even at the risk of losing some business.

Company claims 1,000 percent price hike drove it from VMware to open source rival Read More »

code-found-online-exploits-logofail-to-install-bootkitty-linux-backdoor

Code found online exploits LogoFAIL to install Bootkitty Linux backdoor

Normally, Secure Boot prevents the UEFI from running all subsequent files unless they bear a digital signature certifying those files are trusted by the device maker. The exploit bypasses this protection by injecting shell code stashed in a malicious bitmap image displayed by the UEFI during the boot-up process. The injected code installs a cryptographic key that digitally signs a malicious GRUB file along with a backdoored image of the Linux kernel, both of which run during later stages of the boot process on Linux machines.

The silent installation of this key induces the UEFI to treat the malicious GRUB and kernel image as trusted components, and thereby bypass Secure Boot protections. The final result is a backdoor slipped into the Linux kernel before any other security defenses are loaded.

Diagram illustrating the execution flow of the LogoFAIL exploit Binarly found in the wild. Credit: Binarly

In an online interview, HD Moore, CTO and co-founder at runZero and an expert in firmware-based malware, explained the Binarly report this way:

The Binarly paper points to someone using the LogoFAIL bug to configure a UEFI payload that bypasses secure boot (firmware) by tricking the firmware into accepting their self-signed key (which is then stored in the firmware as the MOK variable). The evil code is still limited to the user-side of UEFI, but the LogoFAIL exploit does let them add their own signing key to the firmware’s allow list (but does not infect the firmware in any way otherwise).

It’s still effectively a GRUB-based kernel backdoor versus a firmware backdoor, but it does abuse a firmware bug (LogoFAIL) to allow installation without user interaction (enrolling, rebooting, then accepting the new MOK signing key).

In a normal secure boot setup, the admin generates a local key, uses this to sign their updated kernel/GRUB packages, tells the firmware to enroll the key they made, then after reboot, the admin has to accept this new key via the console (or remotely via bmc/ipmi/ilo/drac/etc bios console).

In this setup, the attacker can replace the known-good GRUB + kernel with a backdoored version by enrolling their own signing key without user interaction via the LogoFAIL exploit, but it’s still effectively a GRUB-based bootkit, and doesn’t get hardcoded into the BIOS firmware or anything.

Machines vulnerable to the exploit include some models sold by Acer, HP, Fujitsu, and Lenovo when they ship with a UEFI developed by manufacturer Insyde and run Linux. Evidence found in the exploit code indicates the exploit may be tailored for specific hardware configurations of such machines. Insyde issued a patch earlier this year that prevents the exploit from working. Unpatched devices remain vulnerable. Devices from these manufacturers that use non-Insyde UEFIs aren’t affected.

Code found online exploits LogoFAIL to install Bootkitty Linux backdoor Read More »