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#surveillance — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #surveillance, aggregated by home.social.

  1. Eavesdroppers Exploit Device Linking to Tap WhatsApp, Signal Accounts

    Germany's Customs Office has successfully used device linking to tap into WhatsApp and Signal accounts by connecting a police-controlled computer to a suspect's account, exploiting a feature meant for convenience. This technique allows authorities to intercept messages without cracking encryption, raising concerns about digital security.

    osintsights.com/eavesdroppers-

    #DeviceLinking #Whatsapp #Signal #Surveillance #LawEnforcement

  2. Eavesdroppers Exploit Device Linking to Tap WhatsApp, Signal Accounts

    Germany's Customs Office has successfully used device linking to tap into WhatsApp and Signal accounts by connecting a police-controlled computer to a suspect's account, exploiting a feature meant for convenience. This technique allows authorities to intercept messages without cracking encryption, raising concerns about digital security.

    osintsights.com/eavesdroppers-

    #DeviceLinking #Whatsapp #Signal #Surveillance #LawEnforcement

  3. Eavesdroppers Exploit Device Linking to Tap WhatsApp, Signal Accounts

    Germany's Customs Office has successfully used device linking to tap into WhatsApp and Signal accounts by connecting a police-controlled computer to a suspect's account, exploiting a feature meant for convenience. This technique allows authorities to intercept messages without cracking encryption, raising concerns about digital security.

    osintsights.com/eavesdroppers-

    #DeviceLinking #Whatsapp #Signal #Surveillance #LawEnforcement

  4. Eavesdroppers Exploit Device Linking to Tap WhatsApp, Signal Accounts

    Germany's Customs Office has successfully used device linking to tap into WhatsApp and Signal accounts by connecting a police-controlled computer to a suspect's account, exploiting a feature meant for convenience. This technique allows authorities to intercept messages without cracking encryption, raising concerns about digital security.

    osintsights.com/eavesdroppers-

    #DeviceLinking #Whatsapp #Signal #Surveillance #LawEnforcement

  5. #Surveillance Company Tells Cops It Wants to Add #FacialRecognition to #Flock Cameras
    #VIDIZMO is advertising capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds, something Flock won't do. VIDIZMO is a several decades-old video analysis and db company that has started offering facial recognition technology to cops within last six months.
    404media.co/surveillance-compa
    archive.ph/ovVnf

  6. #Surveillance Company Tells Cops It Wants to Add #FacialRecognition to #Flock Cameras
    #VIDIZMO is advertising capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds, something Flock won't do. VIDIZMO is a several decades-old video analysis and db company that has started offering facial recognition technology to cops within last six months.
    404media.co/surveillance-compa
    archive.ph/ovVnf

  7. Company Tells Cops It Wants to Add to Cameras
    is advertising capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds, something Flock won't do. VIDIZMO is a several decades-old video analysis and db company that has started offering facial recognition technology to cops within last six months.
    404media.co/surveillance-compa
    archive.ph/ovVnf

  8. #Surveillance Company Tells Cops It Wants to Add #FacialRecognition to #Flock Cameras
    #VIDIZMO is advertising capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds, something Flock won't do. VIDIZMO is a several decades-old video analysis and db company that has started offering facial recognition technology to cops within last six months.
    404media.co/surveillance-compa
    archive.ph/ovVnf

  9. #Surveillance Company Tells Cops It Wants to Add #FacialRecognition to #Flock Cameras
    #VIDIZMO is advertising capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds, something Flock won't do. VIDIZMO is a several decades-old video analysis and db company that has started offering facial recognition technology to cops within last six months.
    404media.co/surveillance-compa
    archive.ph/ovVnf

  10. “Joshua Michael’s Flock Surveillance Map highlights the locations of what he says are 300,000 Flock surveillance devices spread across the country. His findings — which were cited in Wednesday’s Senate Subcommittee on Crime and Counterterrorism hearing on Flock — differ from existing maps of Flock’s automated license plate readers in scope and methodology.

    Unlike crowd-sourced projects such as DeFlock, which are built on locations submitted by users, the Flock Surveillance Map relies on location data culled from a snapshot, archived by Michael in December 2025, of Flock’s own records. In addition to cameras, it maps supplemental devices — including 27,000 acoustic detection devices, as well as networking equipment that integrates third-party cameras — to illustrate the scale of Flock’s surveillance web.

    “These cameras form a nationwide surveillance network that tracks where everyone drives,” Michael told The Intercept, “so foreign nations don’t need to send spies to harm our country. They can simply watch where our soldiers, federal agents, and politicians go.””

    theintercept.com/2026/09/24/ho

    #USA #Flock #Surveillance #Privacy #PoliceState

  11. “Joshua Michael’s Flock Surveillance Map highlights the locations of what he says are 300,000 Flock surveillance devices spread across the country. His findings — which were cited in Wednesday’s Senate Subcommittee on Crime and Counterterrorism hearing on Flock — differ from existing maps of Flock’s automated license plate readers in scope and methodology.

    Unlike crowd-sourced projects such as DeFlock, which are built on locations submitted by users, the Flock Surveillance Map relies on location data culled from a snapshot, archived by Michael in December 2025, of Flock’s own records. In addition to cameras, it maps supplemental devices — including 27,000 acoustic detection devices, as well as networking equipment that integrates third-party cameras — to illustrate the scale of Flock’s surveillance web.

    “These cameras form a nationwide surveillance network that tracks where everyone drives,” Michael told The Intercept, “so foreign nations don’t need to send spies to harm our country. They can simply watch where our soldiers, federal agents, and politicians go.””

    theintercept.com/2026/09/24/ho

    #USA #Flock #Surveillance #Privacy #PoliceState

  12. “Joshua Michael’s Flock Surveillance Map highlights the locations of what he says are 300,000 Flock surveillance devices spread across the country. His findings — which were cited in Wednesday’s Senate Subcommittee on Crime and Counterterrorism hearing on Flock — differ from existing maps of Flock’s automated license plate readers in scope and methodology.

    Unlike crowd-sourced projects such as DeFlock, which are built on locations submitted by users, the Flock Surveillance Map relies on location data culled from a snapshot, archived by Michael in December 2025, of Flock’s own records. In addition to cameras, it maps supplemental devices — including 27,000 acoustic detection devices, as well as networking equipment that integrates third-party cameras — to illustrate the scale of Flock’s surveillance web.

    “These cameras form a nationwide surveillance network that tracks where everyone drives,” Michael told The Intercept, “so foreign nations don’t need to send spies to harm our country. They can simply watch where our soldiers, federal agents, and politicians go.””

    theintercept.com/2026/09/24/ho

    #USA #Flock #Surveillance #Privacy #PoliceState

  13. “Joshua Michael’s Flock Surveillance Map highlights the locations of what he says are 300,000 Flock surveillance devices spread across the country. His findings — which were cited in Wednesday’s Senate Subcommittee on Crime and Counterterrorism hearing on Flock — differ from existing maps of Flock’s automated license plate readers in scope and methodology.

    Unlike crowd-sourced projects such as DeFlock, which are built on locations submitted by users, the Flock Surveillance Map relies on location data culled from a snapshot, archived by Michael in December 2025, of Flock’s own records. In addition to cameras, it maps supplemental devices — including 27,000 acoustic detection devices, as well as networking equipment that integrates third-party cameras — to illustrate the scale of Flock’s surveillance web.

    “These cameras form a nationwide surveillance network that tracks where everyone drives,” Michael told The Intercept, “so foreign nations don’t need to send spies to harm our country. They can simply watch where our soldiers, federal agents, and politicians go.””

    theintercept.com/2026/09/24/ho

    #USA #Flock #Surveillance #Privacy #PoliceState

  14. “Joshua Michael’s Flock Surveillance Map highlights the locations of what he says are 300,000 Flock surveillance devices spread across the country. His findings — which were cited in Wednesday’s Senate Subcommittee on Crime and Counterterrorism hearing on Flock — differ from existing maps of Flock’s automated license plate readers in scope and methodology.

    Unlike crowd-sourced projects such as DeFlock, which are built on locations submitted by users, the Flock Surveillance Map relies on location data culled from a snapshot, archived by Michael in December 2025, of Flock’s own records. In addition to cameras, it maps supplemental devices — including 27,000 acoustic detection devices, as well as networking equipment that integrates third-party cameras — to illustrate the scale of Flock’s surveillance web.

    “These cameras form a nationwide surveillance network that tracks where everyone drives,” Michael told The Intercept, “so foreign nations don’t need to send spies to harm our country. They can simply watch where our soldiers, federal agents, and politicians go.””

    theintercept.com/2026/09/24/ho

    #USA #Flock #Surveillance #Privacy #PoliceState

  15. Title: Surveillance Company Tells Cops It Wants to Add Facial Recognition to Flock Cameras

    Subtitle: A #surveillance company wants to "close the gap" that #Flock won't do, by pitching facial recognition on its cameras.

    Link: 404media.co/surveillance-compa

  16. Title: Surveillance Company Tells Cops It Wants to Add Facial Recognition to Flock Cameras

    Subtitle: A #surveillance company wants to "close the gap" that #Flock won't do, by pitching facial recognition on its cameras.

    Link: 404media.co/surveillance-compa

  17. Title: Surveillance Company Tells Cops It Wants to Add Facial Recognition to Flock Cameras

    Subtitle: A #surveillance company wants to "close the gap" that #Flock won't do, by pitching facial recognition on its cameras.

    Link: 404media.co/surveillance-compa

  18. Title: Surveillance Company Tells Cops It Wants to Add Facial Recognition to Flock Cameras

    Subtitle: A #surveillance company wants to "close the gap" that #Flock won't do, by pitching facial recognition on its cameras.

    Link: 404media.co/surveillance-compa

  19. Title: Surveillance Company Tells Cops It Wants to Add Facial Recognition to Flock Cameras

    Subtitle: A #surveillance company wants to "close the gap" that #Flock won't do, by pitching facial recognition on its cameras.

    Link: 404media.co/surveillance-compa

  20. Yesterday I launched Siding 29.
    Today I want to leave you with one of the questions behind it:
    We usually treat privacy as something that happens after data is collected.
    Consent. Access. Retention. Security. Deletion.
    But what changes if privacy begins one step earlier?
    Should this record exist at all?

    books2read.com/u/477vKA
    #Privacy #data #surveillance

  21. Yesterday I launched Siding 29.
    Today I want to leave you with one of the questions behind it:
    We usually treat privacy as something that happens after data is collected.
    Consent. Access. Retention. Security. Deletion.
    But what changes if privacy begins one step earlier?
    Should this record exist at all?

    books2read.com/u/477vKA
    #Privacy #data #surveillance

  22. Yesterday I launched Siding 29.
    Today I want to leave you with one of the questions behind it:
    We usually treat privacy as something that happens after data is collected.
    Consent. Access. Retention. Security. Deletion.
    But what changes if privacy begins one step earlier?
    Should this record exist at all?

    books2read.com/u/477vKA
    #Privacy #data #surveillance

  23. Yesterday I launched Siding 29.
    Today I want to leave you with one of the questions behind it:
    We usually treat privacy as something that happens after data is collected.
    Consent. Access. Retention. Security. Deletion.
    But what changes if privacy begins one step earlier?
    Should this record exist at all?

    books2read.com/u/477vKA
    #Privacy #data #surveillance

  24. Yesterday I launched Siding 29.
    Today I want to leave you with one of the questions behind it:
    We usually treat privacy as something that happens after data is collected.
    Consent. Access. Retention. Security. Deletion.
    But what changes if privacy begins one step earlier?
    Should this record exist at all?

    books2read.com/u/477vKA
    #Privacy #data #surveillance

  25. “As Flock continues to be the center of a nationwide conversation about automatic license plate reading cameras, the company has said that it doesn’t, and won’t, do facial recognition: “We will not add facial recognition to our devices,” Flock CEO Garrett Langley said in a recent video. But other, third-party companies are telling cops that they are willing to add facial recognition to data gathered by Flock cameras in order to “close that gap.”

    A company called VIDIZMO is advertising the capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds. VIDIZMO is a several decades-old video analysis and database company that has started offering facial recognition technology to cops within the last six months. In a May email to Johnson City, Tennessee, deputy police chief Michael Adams, a salesperson from VIDIZMO wrote that the company’s product could do facial recognition on both Flock and Axon data in “one searchable platform.””

    404media.co/surveillance-compa

    #USA #Flock #Surveillance #PoliceState #FacialRecognition

  26. “As Flock continues to be the center of a nationwide conversation about automatic license plate reading cameras, the company has said that it doesn’t, and won’t, do facial recognition: “We will not add facial recognition to our devices,” Flock CEO Garrett Langley said in a recent video. But other, third-party companies are telling cops that they are willing to add facial recognition to data gathered by Flock cameras in order to “close that gap.”

    A company called VIDIZMO is advertising the capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds. VIDIZMO is a several decades-old video analysis and database company that has started offering facial recognition technology to cops within the last six months. In a May email to Johnson City, Tennessee, deputy police chief Michael Adams, a salesperson from VIDIZMO wrote that the company’s product could do facial recognition on both Flock and Axon data in “one searchable platform.””

    404media.co/surveillance-compa

    #USA #Flock #Surveillance #PoliceState #FacialRecognition

  27. “As Flock continues to be the center of a nationwide conversation about automatic license plate reading cameras, the company has said that it doesn’t, and won’t, do facial recognition: “We will not add facial recognition to our devices,” Flock CEO Garrett Langley said in a recent video. But other, third-party companies are telling cops that they are willing to add facial recognition to data gathered by Flock cameras in order to “close that gap.”

    A company called VIDIZMO is advertising the capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds. VIDIZMO is a several decades-old video analysis and database company that has started offering facial recognition technology to cops within the last six months. In a May email to Johnson City, Tennessee, deputy police chief Michael Adams, a salesperson from VIDIZMO wrote that the company’s product could do facial recognition on both Flock and Axon data in “one searchable platform.””

    404media.co/surveillance-compa

    #USA #Flock #Surveillance #PoliceState #FacialRecognition

  28. “As Flock continues to be the center of a nationwide conversation about automatic license plate reading cameras, the company has said that it doesn’t, and won’t, do facial recognition: “We will not add facial recognition to our devices,” Flock CEO Garrett Langley said in a recent video. But other, third-party companies are telling cops that they are willing to add facial recognition to data gathered by Flock cameras in order to “close that gap.”

    A company called VIDIZMO is advertising the capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds. VIDIZMO is a several decades-old video analysis and database company that has started offering facial recognition technology to cops within the last six months. In a May email to Johnson City, Tennessee, deputy police chief Michael Adams, a salesperson from VIDIZMO wrote that the company’s product could do facial recognition on both Flock and Axon data in “one searchable platform.””

    404media.co/surveillance-compa

    #USA #Flock #Surveillance #PoliceState #FacialRecognition

  29. “As Flock continues to be the center of a nationwide conversation about automatic license plate reading cameras, the company has said that it doesn’t, and won’t, do facial recognition: “We will not add facial recognition to our devices,” Flock CEO Garrett Langley said in a recent video. But other, third-party companies are telling cops that they are willing to add facial recognition to data gathered by Flock cameras in order to “close that gap.”

    A company called VIDIZMO is advertising the capability to export footage from FlockOS to its own platforms that do facial recognition, behavior prediction, and racial and gender analysis on live camera feeds. VIDIZMO is a several decades-old video analysis and database company that has started offering facial recognition technology to cops within the last six months. In a May email to Johnson City, Tennessee, deputy police chief Michael Adams, a salesperson from VIDIZMO wrote that the company’s product could do facial recognition on both Flock and Axon data in “one searchable platform.””

    404media.co/surveillance-compa

    #USA #Flock #Surveillance #PoliceState #FacialRecognition

  30. “A six-month trial of live facial recognition (LFR) technology in London’s railway stations that cost more than £320,000 and almost 100 hours of police officers’ time led to one false match against a watchlist of suspects and no arrests.

    More than half a million faces were scanned between February and July this year in some of the capital’s busiest transport hubs during the British Transport Police (BTP) trial of the surveillance technology, which aimed to help catch offenders and people breaching court orders.

    A freedom of information document obtained by Liberty Investigates and shared with the Guardian shows that equipment hire and police staffing for the 18 deployments across the trial cost £320,786 and led to only one alert on a watchlist, which turned out to be an incorrect identification, also known as a false positive.

    Last month BTP announced it was extending the trial for a further four months and expanding the deployments to include London Underground stations. British Transport Police said that since the extension there had been three positive confirmed alerts of people who were subsequently confirmed to be complying with sexual harm prevention orders or other imposed court conditions.”

    theguardian.com/technology/202

    #UK #London #Surveillance #FacialRecognition #LFR #PoliceState

  31. “A six-month trial of live facial recognition (LFR) technology in London’s railway stations that cost more than £320,000 and almost 100 hours of police officers’ time led to one false match against a watchlist of suspects and no arrests.

    More than half a million faces were scanned between February and July this year in some of the capital’s busiest transport hubs during the British Transport Police (BTP) trial of the surveillance technology, which aimed to help catch offenders and people breaching court orders.

    A freedom of information document obtained by Liberty Investigates and shared with the Guardian shows that equipment hire and police staffing for the 18 deployments across the trial cost £320,786 and led to only one alert on a watchlist, which turned out to be an incorrect identification, also known as a false positive.

    Last month BTP announced it was extending the trial for a further four months and expanding the deployments to include London Underground stations. British Transport Police said that since the extension there had been three positive confirmed alerts of people who were subsequently confirmed to be complying with sexual harm prevention orders or other imposed court conditions.”

    theguardian.com/technology/202

    #UK #London #Surveillance #FacialRecognition #LFR #PoliceState

  32. “A six-month trial of live facial recognition (LFR) technology in London’s railway stations that cost more than £320,000 and almost 100 hours of police officers’ time led to one false match against a watchlist of suspects and no arrests.

    More than half a million faces were scanned between February and July this year in some of the capital’s busiest transport hubs during the British Transport Police (BTP) trial of the surveillance technology, which aimed to help catch offenders and people breaching court orders.

    A freedom of information document obtained by Liberty Investigates and shared with the Guardian shows that equipment hire and police staffing for the 18 deployments across the trial cost £320,786 and led to only one alert on a watchlist, which turned out to be an incorrect identification, also known as a false positive.

    Last month BTP announced it was extending the trial for a further four months and expanding the deployments to include London Underground stations. British Transport Police said that since the extension there had been three positive confirmed alerts of people who were subsequently confirmed to be complying with sexual harm prevention orders or other imposed court conditions.”

    theguardian.com/technology/202

    #UK #London #Surveillance #FacialRecognition #LFR #PoliceState

  33. “A six-month trial of live facial recognition (LFR) technology in London’s railway stations that cost more than £320,000 and almost 100 hours of police officers’ time led to one false match against a watchlist of suspects and no arrests.

    More than half a million faces were scanned between February and July this year in some of the capital’s busiest transport hubs during the British Transport Police (BTP) trial of the surveillance technology, which aimed to help catch offenders and people breaching court orders.

    A freedom of information document obtained by Liberty Investigates and shared with the Guardian shows that equipment hire and police staffing for the 18 deployments across the trial cost £320,786 and led to only one alert on a watchlist, which turned out to be an incorrect identification, also known as a false positive.

    Last month BTP announced it was extending the trial for a further four months and expanding the deployments to include London Underground stations. British Transport Police said that since the extension there had been three positive confirmed alerts of people who were subsequently confirmed to be complying with sexual harm prevention orders or other imposed court conditions.”

    theguardian.com/technology/202

    #UK #London #Surveillance #FacialRecognition #LFR #PoliceState

  34. “A six-month trial of live facial recognition (LFR) technology in London’s railway stations that cost more than £320,000 and almost 100 hours of police officers’ time led to one false match against a watchlist of suspects and no arrests.

    More than half a million faces were scanned between February and July this year in some of the capital’s busiest transport hubs during the British Transport Police (BTP) trial of the surveillance technology, which aimed to help catch offenders and people breaching court orders.

    A freedom of information document obtained by Liberty Investigates and shared with the Guardian shows that equipment hire and police staffing for the 18 deployments across the trial cost £320,786 and led to only one alert on a watchlist, which turned out to be an incorrect identification, also known as a false positive.

    Last month BTP announced it was extending the trial for a further four months and expanding the deployments to include London Underground stations. British Transport Police said that since the extension there had been three positive confirmed alerts of people who were subsequently confirmed to be complying with sexual harm prevention orders or other imposed court conditions.”

    theguardian.com/technology/202

    #UK #London #Surveillance #FacialRecognition #LFR #PoliceState