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A suite of government hacking tools targeting iPhones is now being used by cybercriminals | TechCrunch

A suite of government hacking tools targeting iPhones is now being used by cybercriminals | TechCrunch

Security researchers have identified a suite of powerful hacking tools capable of compromising iPhones running older software that they say has passed from a government customer into the hands of cybercriminals.

Google said Tuesday that it first identified the exploit kit, dubbed Coruna, in February 2025 during a surveillance vendor’s attempt to hack into someone’s phone with spyware on behalf of a government customer. It found the same exploit kit months later targeting Ukrainian users in a broad-scale campaign by a Russian espionage group, and then later found it used by a financially motivated hacker in China.

It’s unclear how the tools leaked or proliferated, but Google security researchers warned of an emerging market for “secondhand” exploits, which are sold to hackers motivated by money to extract more value out of the exploit.

The discovery also shows how exploits and back doors designed to be used by governments can leak and ultimately be abused by cybercriminals or other non-state actors. Mobile security company iVerify obtained and reverse-engineered the hacking tools, saying in a blog post that it linked the Coruna exploit kit to the U.S. government, based on similarities to hacking tools previously attributed to the United States.

“The more widespread the use, the more certain a leak will occur,” said iVerify. “While iVerify has some evidence that this tool is a leaked US government framework, that shouldn’t overshadow the knowledge that these tools will find their way into the wild and will be used unscrupulously by bad actors.”

Google said the hacking tools are powerful, as they can bypass an iPhone’s defenses simply through visiting a malicious website containing the exploit code — such as being sent a malicious link — in what is known as a “watering hole” attack. According to Google, the Coruna kit can hack into an iPhone five separate ways by relying on and chaining together 23 separate vulnerabilities in its digital arsenal. Affected devices range from iPhone models running iOS 13 up to 17.2.1, which released in December 2023.

According to Wired, which first reported the news, the Coruna kit contains components that were previously used in a hacking campaign dubbed Operation Triangulation. Russian cybersecurity firm Kaspersky claimed in 2023 that the U.S. government tried to hack several iPhones belonging to its employees.

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While leaks of hacking tools are rare, they are not unheard of. In 2017, the U.S. National Security Agency discovered that tools it had developed to hack into Windows computers worldwide had been stolen. The Windows back door, known as EternalBlue, was later published and was used by cybercriminals in subsequent attacks, including the 2017 WannaCry ransomware attack by North Korea.

TechCrunch also recently reported on the case of Peter Williams, the former head of the U.S. defense contractor L3Harris Trenchant, who was sentenced to more than seven years in prison after pleading guilty to stealing and selling eight exploits to a broker known to work with the Russian government.

According to prosecutors, Williams sold exploits that were capable of hacking into “millions of computers and devices” worldwide. At least one exploit was sold to a South Korean broker. It’s unclear if the exploits were ever disclosed to the software makers, or patched.

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#suite #government #hacking #tools #targeting #iPhones #cybercriminals #TechCrunch

Speech-to-text capability is now baked into all modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?

Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.

The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.

It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.

“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”

Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.

A very small chip shown on the pad of a finger to illustrate it's tiny scale

Photograph: Courtesy of Sabi

The drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.

“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.

The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.

#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces">This Beanie Is Designed to Read Your ThoughtsSpeech-to-text capability is now baked into all modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.Photograph: Courtesy of SabiThe drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces

modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?

Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.

The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.

It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.

“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”

Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.

A very small chip shown on the pad of a finger to illustrate it's tiny scale

Photograph: Courtesy of Sabi

The drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.

“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.

The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.

#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces">This Beanie Is Designed to Read Your Thoughts

Speech-to-text capability is now baked into all modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?

Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.

The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.

It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.

“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”

Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.

A very small chip shown on the pad of a finger to illustrate it's tiny scale

Photograph: Courtesy of Sabi

The drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.

“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.

The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.

#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces

Val Kilmer AI deepfake film As Deep as the Grave has just released its first trailer. The internet has responded with overwhelming disgust.

A widely recognised actor known for his roles in films such as Top Gun, Batman Forever, and Kiss Kiss Bang Bang, Kilmer died from pneumonia last April at 65 years old. Upcoming film As Deep as the Grave has now used generative AI to create a digital puppet in Kilmer’s likeness, having it portray a character appearing in “a significant part” of the historical film.

As Deep as the Grave follows married archaeologists Ann Axtell Morris (Abigail Lawrie) and Earl H. Morris (Tom Felton), who conducted fieldwork in the U.S. southwest during the 1920s. Kilmer’s AI-generated likeness will be used to depict Father Fintan, a Catholic priest who is also a Native American spiritualist. The film also features Abigail Breslin, Wes Studi, and Finn Jones.

Though Kilmer was cast in As Deep as the Grave prior to his death, delays in production and issues with his health meant he never shot any scenes. Kilmer had previously given a tech-assisted performance in Top Gun: Maverick, which digitally altered his real voice. He also worked with UK company Sonantic to create an AI speaking voice based on his old recordings. However, As Deep as the Grave will be the first time his likeness and voice will be completely AI-generated in a film.

“Very fitting that this trailer includes a scene where a corpse is unceremoniously yanked out of the ground,” read one of the top comments on As Deep as the Grave‘s trailer at time of writing.

CGI likenesses of deceased actors have been used in feature films before. In 2016, Rogue One: A Star Wars Story gained attention for using CGI and motion capture to resurrect Peter Cushing and portray a younger Carrie Fisher for a few minutes of the film. In 2015, Furious 7 used similar techniques to insert Paul Walker into the remainder of the film after he died mid-shoot. Though Furious 7 largely received a pass due to the circumstances, Rogue One received criticism regarding the ethics of its CGI Cushing. Using generative AI to completely create a performance out of nothing appears to go a step even further, completely removing any actors from the process.

Writer and director Coerte Voorhees told Variety that he chose to use AI rather than recast the role due to budget constraints, and that Kilmer’s children gave the project their blessing. Even so, online commenters have labelled it disgusting and disrespectful, not only for digitally reanimating Kilmer but also for the damaging precedent As Deep as the Grave‘s use of AI could set for the film industry as a whole.

#Val #Kilmer #deepfake #Deep #Grave #trailer #sparks #outrage">Val Kilmer AI deepfake in ‘As Deep as the Grave’ trailer sparks outrage
                        Val Kilmer AI deepfake film As Deep as the Grave has just released its first trailer. The internet has responded with overwhelming disgust.A widely recognised actor known for his roles in films such as Top Gun, Batman Forever, and Kiss Kiss Bang Bang, Kilmer died from pneumonia last April at 65 years old. Upcoming film As Deep as the Grave has now used generative AI to create a digital puppet in Kilmer’s likeness, having it portray a character appearing in “a significant part” of the historical film.As Deep as the Grave follows married archaeologists Ann Axtell Morris (Abigail Lawrie) and Earl H. Morris (Tom Felton), who conducted fieldwork in the U.S. southwest during the 1920s. Kilmer’s AI-generated likeness will be used to depict Father Fintan, a Catholic priest who is also a Native American spiritualist. The film also features Abigail Breslin, Wes Studi, and Finn Jones.Though Kilmer was cast in As Deep as the Grave prior to his death, delays in production and issues with his health meant he never shot any scenes. Kilmer had previously given a tech-assisted performance in Top Gun: Maverick, which digitally altered his real voice. He also worked with UK company Sonantic to create an AI speaking voice based on his old recordings. However, As Deep as the Grave will be the first time his likeness and voice will be completely AI-generated in a film.“Very fitting that this trailer includes a scene where a corpse is unceremoniously yanked out of the ground,” read one of the top comments on As Deep as the Grave‘s trailer at time of writing.
CGI likenesses of deceased actors have been used in feature films before. In 2016, Rogue One: A Star Wars Story gained attention for using CGI and motion capture to resurrect Peter Cushing and portray a younger Carrie Fisher for a few minutes of the film. In 2015, Furious 7 used similar techniques to insert Paul Walker into the remainder of the film after he died mid-shoot. Though Furious 7 largely received a pass due to the circumstances, Rogue One received criticism regarding the ethics of its CGI Cushing. Using generative AI to completely create a performance out of nothing appears to go a step even further, completely removing any actors from the process.Writer and director Coerte Voorhees told Variety that he chose to use AI rather than recast the role due to budget constraints, and that Kilmer’s children gave the project their blessing. Even so, online commenters have labelled it disgusting and disrespectful, not only for digitally reanimating Kilmer but also for the damaging precedent As Deep as the Grave‘s use of AI could set for the film industry as a whole.



                            
                    
                
                    #Val #Kilmer #deepfake #Deep #Grave #trailer #sparks #outrage

Val Kilmer AI deepfake film As Deep as the Grave has just released its first trailer. The internet has responded with overwhelming disgust.

A widely recognised actor known for his roles in films such as Top Gun, Batman Forever, and Kiss Kiss Bang Bang, Kilmer died from pneumonia last April at 65 years old. Upcoming film As Deep as the Grave has now used generative AI to create a digital puppet in Kilmer’s likeness, having it portray a character appearing in “a significant part” of the historical film.

As Deep as the Grave follows married archaeologists Ann Axtell Morris (Abigail Lawrie) and Earl H. Morris (Tom Felton), who conducted fieldwork in the U.S. southwest during the 1920s. Kilmer’s AI-generated likeness will be used to depict Father Fintan, a Catholic priest who is also a Native American spiritualist. The film also features Abigail Breslin, Wes Studi, and Finn Jones.

Though Kilmer was cast in As Deep as the Grave prior to his death, delays in production and issues with his health meant he never shot any scenes. Kilmer had previously given a tech-assisted performance in Top Gun: Maverick, which digitally altered his real voice. He also worked with UK company Sonantic to create an AI speaking voice based on his old recordings. However, As Deep as the Grave will be the first time his likeness and voice will be completely AI-generated in a film.

“Very fitting that this trailer includes a scene where a corpse is unceremoniously yanked out of the ground,” read one of the top comments on As Deep as the Grave‘s trailer at time of writing.

CGI likenesses of deceased actors have been used in feature films before. In 2016, Rogue One: A Star Wars Story gained attention for using CGI and motion capture to resurrect Peter Cushing and portray a younger Carrie Fisher for a few minutes of the film. In 2015, Furious 7 used similar techniques to insert Paul Walker into the remainder of the film after he died mid-shoot. Though Furious 7 largely received a pass due to the circumstances, Rogue One received criticism regarding the ethics of its CGI Cushing. Using generative AI to completely create a performance out of nothing appears to go a step even further, completely removing any actors from the process.

Writer and director Coerte Voorhees told Variety that he chose to use AI rather than recast the role due to budget constraints, and that Kilmer’s children gave the project their blessing. Even so, online commenters have labelled it disgusting and disrespectful, not only for digitally reanimating Kilmer but also for the damaging precedent As Deep as the Grave‘s use of AI could set for the film industry as a whole.

#Val #Kilmer #deepfake #Deep #Grave #trailer #sparks #outrage">Val Kilmer AI deepfake in ‘As Deep as the Grave’ trailer sparks outrage

Val Kilmer AI deepfake film As Deep as the Grave has just released its first trailer. The internet has responded with overwhelming disgust.

A widely recognised actor known for his roles in films such as Top Gun, Batman Forever, and Kiss Kiss Bang Bang, Kilmer died from pneumonia last April at 65 years old. Upcoming film As Deep as the Grave has now used generative AI to create a digital puppet in Kilmer’s likeness, having it portray a character appearing in “a significant part” of the historical film.

As Deep as the Grave follows married archaeologists Ann Axtell Morris (Abigail Lawrie) and Earl H. Morris (Tom Felton), who conducted fieldwork in the U.S. southwest during the 1920s. Kilmer’s AI-generated likeness will be used to depict Father Fintan, a Catholic priest who is also a Native American spiritualist. The film also features Abigail Breslin, Wes Studi, and Finn Jones.

Though Kilmer was cast in As Deep as the Grave prior to his death, delays in production and issues with his health meant he never shot any scenes. Kilmer had previously given a tech-assisted performance in Top Gun: Maverick, which digitally altered his real voice. He also worked with UK company Sonantic to create an AI speaking voice based on his old recordings. However, As Deep as the Grave will be the first time his likeness and voice will be completely AI-generated in a film.

“Very fitting that this trailer includes a scene where a corpse is unceremoniously yanked out of the ground,” read one of the top comments on As Deep as the Grave‘s trailer at time of writing.

CGI likenesses of deceased actors have been used in feature films before. In 2016, Rogue One: A Star Wars Story gained attention for using CGI and motion capture to resurrect Peter Cushing and portray a younger Carrie Fisher for a few minutes of the film. In 2015, Furious 7 used similar techniques to insert Paul Walker into the remainder of the film after he died mid-shoot. Though Furious 7 largely received a pass due to the circumstances, Rogue One received criticism regarding the ethics of its CGI Cushing. Using generative AI to completely create a performance out of nothing appears to go a step even further, completely removing any actors from the process.

Writer and director Coerte Voorhees told Variety that he chose to use AI rather than recast the role due to budget constraints, and that Kilmer’s children gave the project their blessing. Even so, online commenters have labelled it disgusting and disrespectful, not only for digitally reanimating Kilmer but also for the damaging precedent As Deep as the Grave‘s use of AI could set for the film industry as a whole.

#Val #Kilmer #deepfake #Deep #Grave #trailer #sparks #outrage

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