Researchers on Friday said that Poland’s electric grid was targeted by wiper malware, likely unleashed by Russia state hackers, in an attempt to disrupt electricity delivery operations.

A cyberattack, Reuters reported, occurred during the last week of December. The news organization said it was aimed at disrupting communications between renewable installations and the power distribution operators but failed for reasons not explained.

Wipers R Us

On Friday, security firm ESET said the malware responsible was a wiper, a type of malware that permanently erases code and data stored on servers with the goal of destroying operations completely. After studying the tactics, techniques, and procedures (TTPs) used in the attack, company researchers said the wiper was likely the work of a Russian government hacker group tracked under the name Sandworm.

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The project developer for one of the Internet’s most popular networking tools is scrapping its vulnerability reward program after being overrun by a spike in the submission of low-quality reports, much of it AI-generated slop.

“We are just a small single open source project with a small number of active maintainers,” Daniel Stenberg, the founder and lead developer of the open source app cURL, said Thursday. “It is not in our power to change how all these people and their slop machines work. We need to make moves to ensure our survival and intact mental health.”

Manufacturing bogus bugs

His comments came as cURL users complained that the move was treating the symptoms caused by AI slop without addressing the cause. The users said they were concerned the move would eliminate a key means for ensuring and maintaining the security of the tool. Stenberg largely agreed, but indicated his team had little choice.

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Websites that authenticate users through links and codes sent in text messages are imperiling the privacy of millions of people, leaving them vulnerable to scams, identity theft, and other crimes, recently published research has found.

The links are sent to people seeking a range of services, including those offering insurance quotes, job listings, and referrals for pet sitters and tutors. To eliminate the hassle of collecting usernames and passwords—and for users to create and enter them—many such services instead require users to provide a cell phone number when signing up for an account. The services then send authentication links or passcodes by SMS when the users want to log in.

Easy to execute at scale

A paper published last week has found more than 700 endpoints delivering such texts on behalf of more than 175 services that put user security and privacy at risk. One practice that jeopardizes users is the use of links that are easily enumerated, meaning scammers can guess them by simply modifying the security token, which usually appears at the right of a URL. By incrementing or randomly guessing the token—for instance, by first changing 123 to 124 or ABC to ABD and so on—the researchers were able to access accounts belonging to other users. From there, the researchers could view personal details, such as partially completed insurance applications.

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Security firm Mandiant has released a database that allows any administrative password protected by Microsoft’s NTLM.v1 hash algorithm to be hacked in an attempt to nudge users who continue using the deprecated function despite known weaknesses.

The database comes in the form of a rainbow table, which is a precomputed table of hash values linked to their corresponding plaintext. These generic tables, which work against multiple hashing schemes, allow hackers to take over accounts by quickly mapping a stolen hash to its password counterpart. NTLMv1 rainbow tables are particularly easy to construct because of NTLMv1’s limited keyspace, meaning the relatively small number of possible passwords the hashing function allows for. NTLMv1 rainbow tables have existed for two decades but typically require large amounts of resources to make any use of them.

New ammo for security pros

On Thursday, Mandiant said it had released an NTLMv1 rainbow table that will allow defenders and researchers (and, of course, malicious hackers, too) to recover passwords in under 12 hours using consumer hardware costing less than $600 USD. The table is hosted in Google Cloud. The database works against Net-NTLMv1 passwords, which are used in network authentication for accessing resources such as SMB network sharing.

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The New York Times has published new details about a purported cyberattack that unnamed US officials claim plunged parts of Venezuela into darkness in the lead-up to the capture of the country’s president, Nicolás Maduro.

Key among the new details is that the cyber operation was able to turn off electricity for most residents in the capital city of Caracas for only a few minutes, though in some neighborhoods close to the military base where Maduro was seized, the outage lasted for three days. The cyber-op also targeted Venezuelan military radar defenses. The paper said the US Cyber Command was involved.

Got more details?

“Turning off the power in Caracas and interfering with radar allowed US military helicopters to move into the country undetected on their mission to capture Nicolás Maduro, the Venezuelan president who has now been brought to the United States to face drug charges,” the NYT reported.

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Microsoft has fixed a vulnerability in its Copilot AI assistant that allowed hackers to pluck a host of sensitive user data with a single click on a legitimate URL.

The hackers in this case were white-hat researchers from security firm Varonis. The net effect of their multistage attack was that they exfiltrated data, including the target’s name, location, and details of specific events from the user’s Copilot chat history. The attack continued to run even when the user closed the Copilot chat, with no further interaction needed once the user clicked the link, a legitimate Copilot one, in the email. The attack and resulting data theft bypassed enterprise endpoint security controls and detection by endpoint protection apps.

It just works

“Once we deliver this link with this malicious prompt, the user just has to click on the link and the malicious task is immediately executed,” Varonis security researcher Dolev Taler told Ars. “Even if the user just clicks on the link and immediately closes the tab of Copilot chat, the exploit still works.”

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Researchers have discovered a never-before-seen framework that infects Linux machines with a wide assortment of modules that are notable for the range of advanced capabilities they provide to attackers.

The framework, referred to as VoidLink by its source code, features more than 30 modules that can be used to customize capabilities to meet attackers' needs for each infected machine. These modules can provide additional stealth and specific tools for reconnaissance, privilege escalation, and lateral movement inside a compromised network. The components can be easily added or removed as objectives change over the course of a campaign.

A focus on Linux inside the cloud

VoidLink can target machines within popular cloud services by detecting if an infected machine is hosted inside AWS, GCP, Azure, Alibaba, and Tencent, and there are indications that developers plan to add detections for Huawei, DigitalOcean, and Vultr in future releases. To detect which cloud service hosts the machine, VoidLink examines metadata using the respective vendor’s API.

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Moxie Marlinspike—the pseudonym of an engineer who set a new standard for private messaging with the creation of the Signal Messenger—is now aiming to revolutionize AI chatbots in a similar way.

His latest brainchild is Confer, an open source AI assistant that provides strong assurances that user data is unreadable to the platform operator, hackers, law enforcement, or any other party other than account holders. The service—including its large language models and back-end components—runs entirely on open source software that users can cryptographically verify is in place.

Data and conversations originating from users and the resulting responses from the LLMs are encrypted in a trusted execution environment (TEE) that prevents even server administrators from peeking at or tampering with them. Conversations are stored by Confer in the same encrypted form, which uses a key that remains securely on users’ devices.

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There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do something bad. The platform introduces a guardrail that stops the attack from working. Then, researchers devise a simple tweak that once again imperils chatbot users.

The reason more often than not is that AI is so inherently designed to comply with user requests that the guardrails are reactive and ad hoc, meaning they are built to foreclose a specific attack technique rather than the broader class of vulnerabilities that make it possible. It’s tantamount to putting a new highway guardrail in place in response to a recent crash of a compact car but failing to safeguard larger types of vehicles.

Enter ZombieAgent, son of ShadowLeak

One of the latest examples is a vulnerability recently discovered in ChatGPT. It allowed researchers at Radware to surreptitiously exfiltrate a user's private information. Their attack also allowed for the data to be sent directly from ChatGPT servers, a capability that gave it additional stealth, since there were no signs of breach on user machines, many of which are inside protected enterprises. Further, the exploit planted entries in the long-term memory that the AI assistant stores for the targeted user, giving it persistence.

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Californians are getting a new, supercharged way to stop data brokers from hoarding and selling their personal information, as a recently enacted law that’s among the strictest in the nation took effect at the beginning of the year.

According to the California Privacy Protection Agency, more than 500 companies actively scour all sorts of sources for scraps of information about individuals, then package and store it to sell to marketers, private investigators, and others.

The nonprofit Consumer Watchdog said in 2024 that brokers trawl automakers, tech companies, junk-food restaurants, device makers, and others for financial info, purchases, family situations, eating, exercising, travel, entertainment habits, and just about any other imaginable information belonging to millions of people.

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