Researchers are warning about the risks posed by a low-cost device that can give insiders and hackers unusually broad powers in compromising networks.

The devices, which typically sell for $30 to $100, are known as IP KVMs. Administrators often use them to remotely access machines on networks. The devices, not much bigger than a deck of cards, allow the machines to be accessed at the BIOS/UEFI level, the firmware that runs before the loading of the operating system.

This provides power and convenience to admins, but in the wrong hands, the capabilities can often torpedo what might otherwise be a secure network. Risks are posed when the devices—which are exposed to the Internet—are deployed with weak security configurations or surreptitiously connected to by insiders. Firmware vulnerabilities also leave them open to remote takeover.

No exotic zero-days here

On Tuesday, researchers from security firm Eclypsium disclosed a total of nine vulnerabilities in IP KVMs from four manufacturers. The most severe flaws allow unauthenticated hackers to gain root access or run malicious code on them.

“These are not exotic zero-days requiring months of reverse engineering,” Eclypsium researchers Paul Asadoorian and Reynaldo Vasquez Garcia wrote. “These are fundamental security controls that any networked device should implement. Input validation. Authentication. Cryptographic verification. Rate limiting. We are looking at the same class of failures that plagued early IoT devices a decade ago, but now on a device class that provides the equivalent of physical access to everything it connects to.”

Arizona Attorney General Kris Mayes has filed criminal charges against prediction market platform Kalshi, for allegedly operating an illegal gambling business in the state without a license and for election wagering.

The 20-count complaint, filed in Maricopa County court on Tuesday, accuses the company of engaging in unlicensed gambling activities, claiming that the site “accepted bets from Arizona residents on a wide range of events,” including state elections, a practice that is illegal in Arizona. The complaint charged Kalshi with four counts of election wagering for accepting bets from Arizona residents on the 2028 presidential race, the 2026 Arizona gubernatorial race, the 2026 Arizona Republican gubernatorial primary, and the 2026 Arizona Secretary of State race.

This is the first time a state has pursued such charges against the company, according to the Arizona Mirror, and marks a significant escalation in the battle between states and the prediction market industry.

“Kalshi may brand itself as a ‘prediction market,’ but what it’s actually doing is running an illegal gambling operation and taking bets on Arizona elections, both of which violate Arizona law,” Attorney General Mayes said in a statement. “No company gets to decide for itself which laws to follow.”

It’s worth noting that the charges are technically misdemeanors. They follow a small surge of cease-and-desist letters, lawsuits, and other official actions from states over Kalshi’s activities, in which numerous officials have complained that the company is skirting state gambling laws.

Conversely, prediction sites like Kalshi have argued that they are not in violation of state law because they are subject to federal regulation via the Commodity Futures Trading Commission.

Kalshi may be getting attacked left, right, and center, but the Kalshi has also taken its own, often preemptive, legal action.

Kalshi sued Arizona’s Department of Gaming in federal court on March 12. The company’s lawsuit argued that Arizona’s regulatory attempts were intruding “into the federal government’s exclusive authority to regulate derivatives trading on exchanges.” Kalshi also recently sued Iowa and Utah on similar grounds.

Mayes’ office argues the company is merely trying to avoid accountability.

“Kalshi is making a habit of suing states rather than following their laws. In the last three weeks alone, the company has filed lawsuits against Iowa and Utah, and now Arizona,” Mayes said in a statement. “Rather than work within the legal frameworks that states like Arizona have established, Kalshi is running to federal court to try to avoid accountability.”

Elisabeth Diana, Kalshi’s head of communications, called the Arizona criminal charges “seriously flawed” and a matter of “gamesmanship” related to the company’s own litigation against the state.

“Four days after Kalshi filed suit in federal court, these charges were filed to circumvent federal court and short-circuit the normal judicial process,” Diana said. “They attempt to prevent federal courts from evaluating the case based on the merits – whether Kalshi is subject to exclusive federal jurisdiction. These charges are meritless, and we look forward to fighting them in court.”

Federal officials have signaled that they’re on the prediction industry’s side, setting up a potential regulatory showdown between states and the federal bureaucracy. Mike Selig, chair of the Commodity Futures Trading Commission, recently published an op-ed in the Wall Street Journal in which he accused state governments of having “waged legal attacks on the CFTC’s authority to regulate” such sites. Selig also claimed that his agency would no longer “sit idly by while overzealous state governments” undermined the agency’s “exclusive jurisdiction” over the industry.

Researchers at RMIT University in Australia built a small robot shaped like a dolphin. About the size of a sneaker, the machine glides across the surface of polluted water and gathers oil with a pump mounted at the front. A filter inside separates the oil from everything else, sending only the slick into an onboard tank while the water flows away untouched.

The filter draws its clever design from sea urchins. Microscopic spikes coat the sponge-like surface, too small to see without an electron microscope. Those spikes hold pockets of air that push water aside so it beads up and rolls off. Oil, on the other hand, spreads across the spikes and soaks in right away. The coating mixes oleic acid-treated barium carbonate with thin sheets of reduced graphene oxide. No fluorine or silane chemicals go into it, which keeps the whole setup safer for the environment than many older filters.

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Lab tests put the robot through its paces using blue kerosene as a stand-in for real oil. It collected about two milliliters every minute, and the liquid that ended up in the tank measured more than 95 percent pure. The filter never clogged or soaked up water. One full battery charge keeps the machine running for roughly 15 minutes. The same material can absorb between 15 and 65 times its own weight in oil, then release most of it when squeezed and return to work with over 97 percent of its original performance intact. Salt water does not corrode it, and stray contaminants rinse away easily.

Dr. Ataur Rahman, who leads the project at RMIT’s School of Engineering, described the thinking behind the build. Oil spills bring heavy costs to nature and to economies everywhere. The team wanted a device that deploys fast, steers with precision, and reaches places too dangerous for crews on boats. PhD researcher Surya Kanta Ghadei, who developed the filter material, shared what drove his part of the work. Growing up in India, he watched spills harm marine life, especially turtles. That memory pushed him to find a way for responders to act quicker and shield wildlife from harm.

Right now the robot answers to a Wi-Fi remote. A larger version, closer to the actual size of a dolphin, sits in the plans. Its exact scale will depend on the pump and the tank it carries. In that future form the machine will run without anyone steering it. It will vacuum oil from the surface, head back to a base station to empty the tank and recharge, then return to the spill and start again. The cycle keeps going until the area clears.

Engineers see clear advantages over systems that simply float in place and wait for oil to drift their way. This robot moves through the slick on its own, collecting as it goes. The filter stays dry and ready for repeated use, so crews avoid the constant swaps and messy disposal that older setups demand. Next steps include scaling up the filter area, strengthening the pump, running field trials, and checking long-term durability in open water.
[Source]

The new Center Stage selfie camera is one of the best features of Apple’s iPhone 17 series — but why settle for 18MP snaps when 48MP selfies are possible?

That’s the question posed by Kickstarter case brand Dockcase, whose latest offering, the Selfix case, adds a touchscreen to the back of your iPhone 17 Pro for seamless, main camera-quality selfies.