Symfony Profiler

Security

Token

There is no security token.

Firewall

main Name

Security enabled

Stateless

Configuration

Key	Value
provider	security.user.provider.concrete.app_user_provider
context	main
entry_point	App\Security\KbinAuthenticator
user_checker	App\Security\UserChecker
access_denied_handler	(none)
access_denied_url	(none)
authenticators	[`"two_factor" "remember_me" "App\Security\KbinAuthenticator" "App\Security\FacebookAuthenticator" "App\Security\GoogleAuthenticator" "App\Security\GithubAuthenticator" "App\Security\KeycloakAuthenticator"`]

Listeners

Listener	Duration	Response
Symfony\Component\Security\Http\Firewall\ChannelListener {#723`-map: Symfony\Component\Security\Http\AccessMap {#722 …} -logger: Monolog\Logger {#783 …} -httpPort: 80 -httpsPort: 443`}	0.00 ms	(none)
Symfony\Component\Security\Http\Firewall\ContextListener {#706-tokenStorage: Symfony\Component\Security\Core\Authentication\Token\Storage\TokenStorage {#1017 …} -sessionKey: "_security_main" -logger: Monolog\Logger {#783 …} -userProviders: Symfony\Component\DependencyInjection\Argument\RewindableGenerator {#705 …} -dispatcher: Symfony\Component\EventDispatcher\Debug\TraceableEventDispatcher {#747 …} -registered: false -trustResolver: Scheb\TwoFactorBundle\Security\Authentication\AuthenticationTrustResolver {#780 …} -sessionTrackerEnabler: Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage::enableUsageTracking(): void {#703 …}}	0.24 ms	(none)
Symfony\Component\Security\Http\Firewall\AuthenticatorManagerListener {#584`-authenticatorManager: Symfony\Component\Security\Http\Authentication\AuthenticatorManager {#595 …}`}	0.00 ms	(none)
Scheb\TwoFactorBundle\Security\Http\Firewall\TwoFactorAccessListener {#582`-twoFactorFirewallConfig: Scheb\TwoFactorBundle\Security\TwoFactor\TwoFactorFirewallConfig {#842 …} -tokenStorage: Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage {#1018 …} -twoFactorAccessDecider: Scheb\TwoFactorBundle\Security\Authorization\TwoFactorAccessDecider {#581 …}`}	0.04 ms	(none)
Symfony\Component\Security\Http\Firewall\AccessListener {#579`-tokenStorage: Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage {#1018 …} -accessDecisionManager: Symfony\Component\Security\Core\Authorization\TraceableAccessDecisionManager {#937 …} -map: Symfony\Component\Security\Http\AccessMap {#722 …}`}	0.00 ms	(none)
Symfony\Component\Security\Http\Firewall\LogoutListener {#786`-tokenStorage: Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage {#1018 …} -options: [ "csrf_parameter" => "_csrf_token" "csrf_token_id" => "logout" "logout_path" => "app_logout" ] -httpUtils: Symfony\Component\Security\Http\HttpUtils {#841 …} -csrfTokenManager: Symfony\Component\Security\Csrf\CsrfTokenManager {#1015 …} -eventDispatcher: Symfony\Component\EventDispatcher\Debug\TraceableEventDispatcher {#747 …}`}	0.00 ms	(none)

Authenticators

No authenticators have been recorded. Check previous profiles on your authentication endpoint.

Access Decision

affirmative Strategy


"Symfony\Component\Security\Core\Authorization\Voter\AuthenticatedVoter"
"Scheb\TwoFactorBundle\Security\Authorization\Voter\TwoFactorInProgressVoter"
"Symfony\Component\Security\Core\Authorization\Voter\RoleHierarchyVoter"
"Symfony\Component\Security\Core\Authorization\Voter\ExpressionVoter"
"App\Security\Voter\EntryCommentVoter"
"App\Security\Voter\EntryVoter"
"App\Security\Voter\MagazineVoter"
"App\Security\Voter\MessageThreadVoter"
"App\Security\Voter\MessageVoter"
"App\Security\Voter\NotificationVoter"
"App\Security\Voter\OAuth2UserConsentVoter"
"App\Security\Voter\PostCommentVoter"
"App\Security\Voter\PostVoter"
"App\Security\Voter\UserVoter"

#	Voter class
1	"Symfony\Component\Security\Core\Authorization\Voter\AuthenticatedVoter"
2	"Scheb\TwoFactorBundle\Security\Authorization\Voter\TwoFactorInProgressVoter"
3	"Symfony\Component\Security\Core\Authorization\Voter\RoleHierarchyVoter"
4	"Symfony\Component\Security\Core\Authorization\Voter\ExpressionVoter"
5	"App\Security\Voter\EntryCommentVoter"
6	"App\Security\Voter\EntryVoter"
7	"App\Security\Voter\MagazineVoter"
8	"App\Security\Voter\MessageThreadVoter"
9	"App\Security\Voter\MessageVoter"
10	"App\Security\Voter\NotificationVoter"
11	"App\Security\Voter\OAuth2UserConsentVoter"
12	"App\Security\Voter\PostCommentVoter"
13	"App\Security\Voter\PostVoter"
14	"App\Security\Voter\UserVoter"

Access decision log


null
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1849
  +user: Proxies\__CG__\App\Entity\User {#1902 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1868 …}
  +image: Proxies\__CG__\App\Entity\Image {#2408 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "Each-Facebook-User-is-Monitored-by-Thousands-of-Companies"
  +title: "Each Facebook User is Monitored by Thousands of Companies"
  +url: "https://themarkup.org/privacy/2024/01/17/each-facebook-user-is-monitored-by-thousands-of-companies-study-indicates"
  +body: null
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 8
  +favouriteCount: 148
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1727311979 {#2437
    date: 2024-09-26 02:52:59.0 +02:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1870 …}
  +votes: Doctrine\ORM\PersistentCollection {#1895 …}
  +reports: Doctrine\ORM\PersistentCollection {#1514 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1481 …}
  +notifications: Doctrine\ORM\PersistentCollection {#1632 …}
  +badges: Doctrine\ORM\PersistentCollection {#1631 …}
  +children: []
  -id: 31648
  -titleTs: "'compani':9 'facebook':2 'monitor':5 'thousand':7 'user':3"
  -bodyTs: null
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 1705725119
  +visibility: "visible             "
  +apId: "https://discuss.tchncs.de/post/9501133"
  +editedAt: null
  +createdAt: DateTimeImmutable @1705638719 {#1818
    date: 2024-01-19 05:31:59.0 +01:00
  }
}
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1849
  +user: Proxies\__CG__\App\Entity\User {#1902 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1868 …}
  +image: Proxies\__CG__\App\Entity\Image {#2408 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "Each-Facebook-User-is-Monitored-by-Thousands-of-Companies"
  +title: "Each Facebook User is Monitored by Thousands of Companies"
  +url: "https://themarkup.org/privacy/2024/01/17/each-facebook-user-is-monitored-by-thousands-of-companies-study-indicates"
  +body: null
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 8
  +favouriteCount: 148
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1727311979 {#2437
    date: 2024-09-26 02:52:59.0 +02:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1870 …}
  +votes: Doctrine\ORM\PersistentCollection {#1895 …}
  +reports: Doctrine\ORM\PersistentCollection {#1514 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1481 …}
  +notifications: Doctrine\ORM\PersistentCollection {#1632 …}
  +badges: Doctrine\ORM\PersistentCollection {#1631 …}
  +children: []
  -id: 31648
  -titleTs: "'compani':9 'facebook':2 'monitor':5 'thousand':7 'user':3"
  -bodyTs: null
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 1705725119
  +visibility: "visible             "
  +apId: "https://discuss.tchncs.de/post/9501133"
  +editedAt: null
  +createdAt: DateTimeImmutable @1705638719 {#1818
    date: 2024-01-19 05:31:59.0 +01:00
  }
}
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1849
  +user: Proxies\__CG__\App\Entity\User {#1902 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1868 …}
  +image: Proxies\__CG__\App\Entity\Image {#2408 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "Each-Facebook-User-is-Monitored-by-Thousands-of-Companies"
  +title: "Each Facebook User is Monitored by Thousands of Companies"
  +url: "https://themarkup.org/privacy/2024/01/17/each-facebook-user-is-monitored-by-thousands-of-companies-study-indicates"
  +body: null
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 8
  +favouriteCount: 148
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1727311979 {#2437
    date: 2024-09-26 02:52:59.0 +02:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1870 …}
  +votes: Doctrine\ORM\PersistentCollection {#1895 …}
  +reports: Doctrine\ORM\PersistentCollection {#1514 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1481 …}
  +notifications: Doctrine\ORM\PersistentCollection {#1632 …}
  +badges: Doctrine\ORM\PersistentCollection {#1631 …}
  +children: []
  -id: 31648
  -titleTs: "'compani':9 'facebook':2 'monitor':5 'thousand':7 'user':3"
  -bodyTs: null
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 1705725119
  +visibility: "visible             "
  +apId: "https://discuss.tchncs.de/post/9501133"
  +editedAt: null
  +createdAt: DateTimeImmutable @1705638719 {#1818
    date: 2024-01-19 05:31:59.0 +01:00
  }
}
"App\Security\Voter\UserVoter"
null
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1706
  +user: Proxies\__CG__\App\Entity\User {#1657 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1742 …}
  +image: Proxies\__CG__\App\Entity\Image {#1704 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "There-s-a-Multibillion-Dollar-Market-for-Your-Phone-s-Location-Data-The"
  +title: "There’s a Multibillion-Dollar Market for Your Phone’s Location Data – The Markup"
  +url: "https://themarkup.org/privacy/2021/09/30/theres-a-multibillion-dollar-market-for-your-phones-location-data"
  +body: """
    > Location firm Near describes itself as “The World’s Largest Dataset of People’s Behavior in the Real-World,” with data representing “1.6B people across 44 countries.” Mobilewalla boasts “40+ Countries, 1.9B+ Devices, 50B Mobile Signals Daily, 5+ Years of Data.” X-Mode’s website claims its data covers “25%+ of the Adult U.S. population monthly.”\n
    \n
    > Fast food restaurants and other businesses have been known to buy location data for advertising purposes down to a person’s steps. For example, in 2018, Burger King ran a promotion in which, if a customer’s phone was within 600 feet of a McDonalds, the Burger King app would let the user buy a Whopper for one cent.\n
    \n
    > Outlogic (formerly known as X-Mode) offers a license for a location dataset titled “Cyber Security Location data” on Datarade for $240,000 per year. The listing says “Outlogic’s accurate and granular location data is collected directly from a mobile device’s GPS.”
    """
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 17
  +favouriteCount: 158
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1727472129 {#1517
    date: 2024-09-27 23:22:09.0 +02:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1710 …}
  +votes: Doctrine\ORM\PersistentCollection {#1738 …}
  +reports: Doctrine\ORM\PersistentCollection {#1746 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1750 …}
  +notifications: Doctrine\ORM\PersistentCollection {#1468 …}
  +badges: Doctrine\ORM\PersistentCollection {#1472 …}
  +children: []
  -id: 31272
  -titleTs: "'data':13 'dollar':6 'locat':12 'market':7 'markup':15 'multibillion':5 'multibillion-dollar':4 'phone':10"
  -bodyTs: "'000':143 '1.6':24 '1.9':34 '2018':86 '240':142 '25':54 '40':32 '44':28 '5':41 '50b':37 '600':101 'accur':151 'across':27 'adult':57 'advertis':75 'app':109 'b':25,35 'behavior':15 'boast':31 'burger':87,107 'busi':66 'buy':71,114 'cent':119 'claim':50 'collect':157 'countri':29,33 'cover':53 'custom':96 'cyber':135 'daili':40 'data':22,44,52,73,138,155 'datarad':140 'dataset':11,133 'describ':4 'devic':36,162 'direct':158 'exampl':84 'fast':61 'feet':102 'firm':2 'food':62 'former':121 'gps':164 'granular':153 'king':88,108 'known':69,122 'largest':10 'let':111 'licens':129 'list':147 'locat':1,72,132,137,154 'mcdonald':105 'mobil':38,161 'mobilewalla':30 'mode':47,126 'month':60 'near':3 'offer':127 'one':118 'outlog':120,149 'peopl':13,26 'per':144 'person':80 'phone':98 'popul':59 'promot':91 'purpos':76 'ran':89 'real':19 'real-world':18 'repres':23 'restaur':63 'say':148 'secur':136 'signal':39 'step':82 'titl':134 'u.s':58 'user':113 'websit':49 'whopper':116 'within':100 'world':8,20 'would':110 'x':46,125 'x-mode':45,124 'year':42,145"
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 1705604063
  +visibility: "visible             "
  +apId: "https://lemmy.ml/post/10677123"
  +editedAt: null
  +createdAt: DateTimeImmutable @1705517663 {#1516
    date: 2024-01-17 19:54:23.0 +01:00
  }
}
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1706
  +user: Proxies\__CG__\App\Entity\User {#1657 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1742 …}
  +image: Proxies\__CG__\App\Entity\Image {#1704 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "There-s-a-Multibillion-Dollar-Market-for-Your-Phone-s-Location-Data-The"
  +title: "There’s a Multibillion-Dollar Market for Your Phone’s Location Data – The Markup"
  +url: "https://themarkup.org/privacy/2021/09/30/theres-a-multibillion-dollar-market-for-your-phones-location-data"
  +body: """
    > Location firm Near describes itself as “The World’s Largest Dataset of People’s Behavior in the Real-World,” with data representing “1.6B people across 44 countries.” Mobilewalla boasts “40+ Countries, 1.9B+ Devices, 50B Mobile Signals Daily, 5+ Years of Data.” X-Mode’s website claims its data covers “25%+ of the Adult U.S. population monthly.”\n
    \n
    > Fast food restaurants and other businesses have been known to buy location data for advertising purposes down to a person’s steps. For example, in 2018, Burger King ran a promotion in which, if a customer’s phone was within 600 feet of a McDonalds, the Burger King app would let the user buy a Whopper for one cent.\n
    \n
    > Outlogic (formerly known as X-Mode) offers a license for a location dataset titled “Cyber Security Location data” on Datarade for $240,000 per year. The listing says “Outlogic’s accurate and granular location data is collected directly from a mobile device’s GPS.”
    """
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 17
  +favouriteCount: 158
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1727472129 {#1517
    date: 2024-09-27 23:22:09.0 +02:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1710 …}
  +votes: Doctrine\ORM\PersistentCollection {#1738 …}
  +reports: Doctrine\ORM\PersistentCollection {#1746 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1750 …}
  +notifications: Doctrine\ORM\PersistentCollection {#1468 …}
  +badges: Doctrine\ORM\PersistentCollection {#1472 …}
  +children: []
  -id: 31272
  -titleTs: "'data':13 'dollar':6 'locat':12 'market':7 'markup':15 'multibillion':5 'multibillion-dollar':4 'phone':10"
  -bodyTs: "'000':143 '1.6':24 '1.9':34 '2018':86 '240':142 '25':54 '40':32 '44':28 '5':41 '50b':37 '600':101 'accur':151 'across':27 'adult':57 'advertis':75 'app':109 'b':25,35 'behavior':15 'boast':31 'burger':87,107 'busi':66 'buy':71,114 'cent':119 'claim':50 'collect':157 'countri':29,33 'cover':53 'custom':96 'cyber':135 'daili':40 'data':22,44,52,73,138,155 'datarad':140 'dataset':11,133 'describ':4 'devic':36,162 'direct':158 'exampl':84 'fast':61 'feet':102 'firm':2 'food':62 'former':121 'gps':164 'granular':153 'king':88,108 'known':69,122 'largest':10 'let':111 'licens':129 'list':147 'locat':1,72,132,137,154 'mcdonald':105 'mobil':38,161 'mobilewalla':30 'mode':47,126 'month':60 'near':3 'offer':127 'one':118 'outlog':120,149 'peopl':13,26 'per':144 'person':80 'phone':98 'popul':59 'promot':91 'purpos':76 'ran':89 'real':19 'real-world':18 'repres':23 'restaur':63 'say':148 'secur':136 'signal':39 'step':82 'titl':134 'u.s':58 'user':113 'websit':49 'whopper':116 'within':100 'world':8,20 'would':110 'x':46,125 'x-mode':45,124 'year':42,145"
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 1705604063
  +visibility: "visible             "
  +apId: "https://lemmy.ml/post/10677123"
  +editedAt: null
  +createdAt: DateTimeImmutable @1705517663 {#1516
    date: 2024-01-17 19:54:23.0 +01:00
  }
}
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1706
  +user: Proxies\__CG__\App\Entity\User {#1657 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1742 …}
  +image: Proxies\__CG__\App\Entity\Image {#1704 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "There-s-a-Multibillion-Dollar-Market-for-Your-Phone-s-Location-Data-The"
  +title: "There’s a Multibillion-Dollar Market for Your Phone’s Location Data – The Markup"
  +url: "https://themarkup.org/privacy/2021/09/30/theres-a-multibillion-dollar-market-for-your-phones-location-data"
  +body: """
    > Location firm Near describes itself as “The World’s Largest Dataset of People’s Behavior in the Real-World,” with data representing “1.6B people across 44 countries.” Mobilewalla boasts “40+ Countries, 1.9B+ Devices, 50B Mobile Signals Daily, 5+ Years of Data.” X-Mode’s website claims its data covers “25%+ of the Adult U.S. population monthly.”\n
    \n
    > Fast food restaurants and other businesses have been known to buy location data for advertising purposes down to a person’s steps. For example, in 2018, Burger King ran a promotion in which, if a customer’s phone was within 600 feet of a McDonalds, the Burger King app would let the user buy a Whopper for one cent.\n
    \n
    > Outlogic (formerly known as X-Mode) offers a license for a location dataset titled “Cyber Security Location data” on Datarade for $240,000 per year. The listing says “Outlogic’s accurate and granular location data is collected directly from a mobile device’s GPS.”
    """
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 17
  +favouriteCount: 158
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1727472129 {#1517
    date: 2024-09-27 23:22:09.0 +02:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1710 …}
  +votes: Doctrine\ORM\PersistentCollection {#1738 …}
  +reports: Doctrine\ORM\PersistentCollection {#1746 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1750 …}
  +notifications: Doctrine\ORM\PersistentCollection {#1468 …}
  +badges: Doctrine\ORM\PersistentCollection {#1472 …}
  +children: []
  -id: 31272
  -titleTs: "'data':13 'dollar':6 'locat':12 'market':7 'markup':15 'multibillion':5 'multibillion-dollar':4 'phone':10"
  -bodyTs: "'000':143 '1.6':24 '1.9':34 '2018':86 '240':142 '25':54 '40':32 '44':28 '5':41 '50b':37 '600':101 'accur':151 'across':27 'adult':57 'advertis':75 'app':109 'b':25,35 'behavior':15 'boast':31 'burger':87,107 'busi':66 'buy':71,114 'cent':119 'claim':50 'collect':157 'countri':29,33 'cover':53 'custom':96 'cyber':135 'daili':40 'data':22,44,52,73,138,155 'datarad':140 'dataset':11,133 'describ':4 'devic':36,162 'direct':158 'exampl':84 'fast':61 'feet':102 'firm':2 'food':62 'former':121 'gps':164 'granular':153 'king':88,108 'known':69,122 'largest':10 'let':111 'licens':129 'list':147 'locat':1,72,132,137,154 'mcdonald':105 'mobil':38,161 'mobilewalla':30 'mode':47,126 'month':60 'near':3 'offer':127 'one':118 'outlog':120,149 'peopl':13,26 'per':144 'person':80 'phone':98 'popul':59 'promot':91 'purpos':76 'ran':89 'real':19 'real-world':18 'repres':23 'restaur':63 'say':148 'secur':136 'signal':39 'step':82 'titl':134 'u.s':58 'user':113 'websit':49 'whopper':116 'within':100 'world':8,20 'would':110 'x':46,125 'x-mode':45,124 'year':42,145"
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 1705604063
  +visibility: "visible             "
  +apId: "https://lemmy.ml/post/10677123"
  +editedAt: null
  +createdAt: DateTimeImmutable @1705517663 {#1516
    date: 2024-01-17 19:54:23.0 +01:00
  }
}
"App\Security\Voter\UserVoter"
null
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1469
  +user: Proxies\__CG__\App\Entity\User {#1657 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1742 …}
  +image: Proxies\__CG__\App\Entity\Image {#2408 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "Each-Facebook-User-is-Monitored-by-Thousands-of-Companies-The"
  +title: "Each Facebook User is Monitored by Thousands of Companies – The Markup"
  +url: "https://themarkup.org/privacy/2024/01/17/each-facebook-user-is-monitored-by-thousands-of-companies-study-indicates"
  +body: "> Using a panel of 709 volunteers who shared archives of their Facebook data, Consumer Reports found that a total of 186,892 companies sent data about them to the social network. On average, each participant in the study had their data sent to Facebook by 2,230 companies. That number varied significantly, with some panelists’ data listing over 7,000 companies providing their data."
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 8
  +favouriteCount: 242
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1726378835 {#1467
    date: 2024-09-15 07:40:35.0 +02:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
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null
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1493
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  +slug: "Without-a-Trace-How-to-Keep-Your-Phone-Off-the"
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    > We answer the questions readers asked in response to our guide to anonymizing your phone\n
    \n
    > About the [LevelUp series](https://themarkup.org/series/levelup): At The Markup, we’re committed to doing everything we can to protect our readers from digital harm, write about the processes we develop, and share our work. We’re constantly working on improving digital security, respecting reader privacy, creating ethical and responsible user experiences, and making sure our site and tools are accessible.\n
    \n
    This is a follow-up article. [Here's the first piece, if you'd like to read that one as well](https://themarkup.org/levelup/2023/10/25/without-a-trace-how-to-take-your-phone-off-the-grid)
    """
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    > We answer the questions readers asked in response to our guide to anonymizing your phone\n
    \n
    > About the [LevelUp series](https://themarkup.org/series/levelup): At The Markup, we’re committed to doing everything we can to protect our readers from digital harm, write about the processes we develop, and share our work. We’re constantly working on improving digital security, respecting reader privacy, creating ethical and responsible user experiences, and making sure our site and tools are accessible.\n
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    """
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  +slug: "Without-a-Trace-How-to-Keep-Your-Phone-Off-the"
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    > We answer the questions readers asked in response to our guide to anonymizing your phone\n
    \n
    > About the [LevelUp series](https://themarkup.org/series/levelup): At The Markup, we’re committed to doing everything we can to protect our readers from digital harm, write about the processes we develop, and share our work. We’re constantly working on improving digital security, respecting reader privacy, creating ethical and responsible user experiences, and making sure our site and tools are accessible.\n
    \n
    This is a follow-up article. [Here's the first piece, if you'd like to read that one as well](https://themarkup.org/levelup/2023/10/25/without-a-trace-how-to-take-your-phone-off-the-grid)
    """
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null
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1788
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  +domain: App\Entity\Domain {#282 …}
  +slug: "Kroger-Sued-for-Sharing-Sensitive-Health-Data-With-Meta"
  +title: "Kroger Sued for Sharing Sensitive Health Data With Meta"
  +url: "https://themarkup.org/privacy/2023/11/27/kroger-sued-for-sharing-sensitive-health-data-with-meta"
  +body: """
    > Two proposed federal class action lawsuits, filed in the wake of a Markup investigation, accuse the grocer of disclosing private data through its online store and pharmacy\n
    \n
    ---\n
    \n
    > Kroger, the largest supermarket chain in the U.S., is being sued in federal court for the unauthorized sharing of personally identifiable information and health data with Meta.\n
    > \n
    > Two different proposed class-action lawsuits were filed on Nov. 10 and Nov. 13 in the Southern District of Ohio, Western Division. The plaintiffs, both from Ohio, are anonymous. Illustration of a grocery store basket on a conveyer belt, filled with various objects including smiley faces, location pins, credit cards, data blocks, envelopes and receipts.\n
    > \n
    > When you use supermarket discount cards, you are sharing much more than what is in your cart—and grocery chains like Kroger are reaping huge profits selling this data to brands and advertisers February 16, 2023 08:00 ET\n
    > \n
    > The suits alleged that Kroger essentially ”planted a bug” on its website, which includes an online pharmacy, and was “looking over the shoulder of each visitor for the entire duration of their Website interaction.” That “bug” refers to the Meta Pixel and the other trackers Kroger used on its website. The Nov. 10 suit claimed that as a result, Kroger leaked details of which medications and dosages a patient sought or purchased from Kroger’s pharmacy, which then allowed “third parties to reasonably infer that a specific patient was being treated for a specific type of medical condition such as cancer, pregnancy, HIV, mental health conditions, and an array of other symptoms or conditions.”\n
    > \n
    > In February, The Markup revealed that Kroger collects extensive data through its loyalty program. The investigation detailed Kroger’s use of the Meta pixel on kroger.com, including how the company sent information to Meta when a pregnancy test was added to a virtual shopping cart. A similar example was included in the Nov. 10 lawsuit, showing that Meta is informed when a user searches on Kroger.com for Plan B contraceptives. The Nov. 13 lawsuit, in trying to establish the harms of “mishandling medical information,” also cited a Markup story on hospital websites disclosing sensitive information to Meta through the pixel.\n
    > \n
    > Both suits claim that the use of Meta’s tracking pixel violates the Electronic Communications Privacy Act, the Health Insurance Portability and Accountability Act (HIPAA) and Ohio state laws covering health information and privacy. They both cite warnings from the Federal Trade Commission and the Department of Health and Human Services against improper disclosure of personal health information online.\n
    > \n
    > Kroger did not respond to a request for comment.\n
    > \n
    > Attorneys for the plaintiffs either declined to comment or did not respond.\n
    > \n
    > The Markup has reported extensively on sensitive information shared to Meta through the pixel, including by education technology providers, crisis mental health hotlines, hospitals, tax preparation companies and student financial aid providers.\n
    \n
    link: [themarkup.org/…/kroger-sued-for-sharing-sensitive…](https://themarkup.org/privacy/2023/11/27/kroger-sued-for-sharing-sensitive-health-data-with-meta)
    """
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  +slug: "Kroger-Sued-for-Sharing-Sensitive-Health-Data-With-Meta"
  +title: "Kroger Sued for Sharing Sensitive Health Data With Meta"
  +url: "https://themarkup.org/privacy/2023/11/27/kroger-sued-for-sharing-sensitive-health-data-with-meta"
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    > Two proposed federal class action lawsuits, filed in the wake of a Markup investigation, accuse the grocer of disclosing private data through its online store and pharmacy\n
    \n
    ---\n
    \n
    > Kroger, the largest supermarket chain in the U.S., is being sued in federal court for the unauthorized sharing of personally identifiable information and health data with Meta.\n
    > \n
    > Two different proposed class-action lawsuits were filed on Nov. 10 and Nov. 13 in the Southern District of Ohio, Western Division. The plaintiffs, both from Ohio, are anonymous. Illustration of a grocery store basket on a conveyer belt, filled with various objects including smiley faces, location pins, credit cards, data blocks, envelopes and receipts.\n
    > \n
    > When you use supermarket discount cards, you are sharing much more than what is in your cart—and grocery chains like Kroger are reaping huge profits selling this data to brands and advertisers February 16, 2023 08:00 ET\n
    > \n
    > The suits alleged that Kroger essentially ”planted a bug” on its website, which includes an online pharmacy, and was “looking over the shoulder of each visitor for the entire duration of their Website interaction.” That “bug” refers to the Meta Pixel and the other trackers Kroger used on its website. The Nov. 10 suit claimed that as a result, Kroger leaked details of which medications and dosages a patient sought or purchased from Kroger’s pharmacy, which then allowed “third parties to reasonably infer that a specific patient was being treated for a specific type of medical condition such as cancer, pregnancy, HIV, mental health conditions, and an array of other symptoms or conditions.”\n
    > \n
    > In February, The Markup revealed that Kroger collects extensive data through its loyalty program. The investigation detailed Kroger’s use of the Meta pixel on kroger.com, including how the company sent information to Meta when a pregnancy test was added to a virtual shopping cart. A similar example was included in the Nov. 10 lawsuit, showing that Meta is informed when a user searches on Kroger.com for Plan B contraceptives. The Nov. 13 lawsuit, in trying to establish the harms of “mishandling medical information,” also cited a Markup story on hospital websites disclosing sensitive information to Meta through the pixel.\n
    > \n
    > Both suits claim that the use of Meta’s tracking pixel violates the Electronic Communications Privacy Act, the Health Insurance Portability and Accountability Act (HIPAA) and Ohio state laws covering health information and privacy. They both cite warnings from the Federal Trade Commission and the Department of Health and Human Services against improper disclosure of personal health information online.\n
    > \n
    > Kroger did not respond to a request for comment.\n
    > \n
    > Attorneys for the plaintiffs either declined to comment or did not respond.\n
    > \n
    > The Markup has reported extensively on sensitive information shared to Meta through the pixel, including by education technology providers, crisis mental health hotlines, hospitals, tax preparation companies and student financial aid providers.\n
    \n
    link: [themarkup.org/…/kroger-sued-for-sharing-sensitive…](https://themarkup.org/privacy/2023/11/27/kroger-sued-for-sharing-sensitive-health-data-with-meta)
    """
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  +slug: "Kroger-Sued-for-Sharing-Sensitive-Health-Data-With-Meta"
  +title: "Kroger Sued for Sharing Sensitive Health Data With Meta"
  +url: "https://themarkup.org/privacy/2023/11/27/kroger-sued-for-sharing-sensitive-health-data-with-meta"
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    > Two proposed federal class action lawsuits, filed in the wake of a Markup investigation, accuse the grocer of disclosing private data through its online store and pharmacy\n
    \n
    ---\n
    \n
    > Kroger, the largest supermarket chain in the U.S., is being sued in federal court for the unauthorized sharing of personally identifiable information and health data with Meta.\n
    > \n
    > Two different proposed class-action lawsuits were filed on Nov. 10 and Nov. 13 in the Southern District of Ohio, Western Division. The plaintiffs, both from Ohio, are anonymous. Illustration of a grocery store basket on a conveyer belt, filled with various objects including smiley faces, location pins, credit cards, data blocks, envelopes and receipts.\n
    > \n
    > When you use supermarket discount cards, you are sharing much more than what is in your cart—and grocery chains like Kroger are reaping huge profits selling this data to brands and advertisers February 16, 2023 08:00 ET\n
    > \n
    > The suits alleged that Kroger essentially ”planted a bug” on its website, which includes an online pharmacy, and was “looking over the shoulder of each visitor for the entire duration of their Website interaction.” That “bug” refers to the Meta Pixel and the other trackers Kroger used on its website. The Nov. 10 suit claimed that as a result, Kroger leaked details of which medications and dosages a patient sought or purchased from Kroger’s pharmacy, which then allowed “third parties to reasonably infer that a specific patient was being treated for a specific type of medical condition such as cancer, pregnancy, HIV, mental health conditions, and an array of other symptoms or conditions.”\n
    > \n
    > In February, The Markup revealed that Kroger collects extensive data through its loyalty program. The investigation detailed Kroger’s use of the Meta pixel on kroger.com, including how the company sent information to Meta when a pregnancy test was added to a virtual shopping cart. A similar example was included in the Nov. 10 lawsuit, showing that Meta is informed when a user searches on Kroger.com for Plan B contraceptives. The Nov. 13 lawsuit, in trying to establish the harms of “mishandling medical information,” also cited a Markup story on hospital websites disclosing sensitive information to Meta through the pixel.\n
    > \n
    > Both suits claim that the use of Meta’s tracking pixel violates the Electronic Communications Privacy Act, the Health Insurance Portability and Accountability Act (HIPAA) and Ohio state laws covering health information and privacy. They both cite warnings from the Federal Trade Commission and the Department of Health and Human Services against improper disclosure of personal health information online.\n
    > \n
    > Kroger did not respond to a request for comment.\n
    > \n
    > Attorneys for the plaintiffs either declined to comment or did not respond.\n
    > \n
    > The Markup has reported extensively on sensitive information shared to Meta through the pixel, including by education technology providers, crisis mental health hotlines, hospitals, tax preparation companies and student financial aid providers.\n
    \n
    link: [themarkup.org/…/kroger-sued-for-sharing-sensitive…](https://themarkup.org/privacy/2023/11/27/kroger-sued-for-sharing-sensitive-health-data-with-meta)
    """
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  +notifications: Doctrine\ORM\PersistentCollection {#1637 …}
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  +children: []
  -id: 16660
  -titleTs: "'colleg':9 'facebook':1 'markup':11 'onlin':4 'prep':7 'teen':3 'watch':2"
  -bodyTs: "'accept':10 'accommod':67 'account':6 'act':5,43 'aid':64 'almost':20 'click':23,48 'colleg':62 'cooki':11 'data':29 'detail':18 'disabl':70 'ethnic':53 'even':46 'everyth':21 'facebook':16 'financi':63 'first':32 'follow':14 'gender':55 'identifi':28 'includ':25 'last':34 'like':30 'name':35 'need':66 'page':15 'plan':59 're':39 'receiv':17 'regist':40,47 'request':61 'scrambl':26 'sign':2 'site':45 'student':9,51 'whether':37,57"
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    date: 2023-12-02 03:20:06.0 +01:00
  }
  +createdAt: DateTimeImmutable @1700915222 {#1764
    date: 2023-11-25 13:27:02.0 +01:00
  }
}
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1765
  +user: Proxies\__CG__\App\Entity\User {#1657 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1742 …}
  +image: Proxies\__CG__\App\Entity\Image {#1766 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "Facebook-Watches-Teens-Online-As-They-Prep-for-College-The"
  +title: "Facebook Watches Teens Online As They Prep for College – The Markup"
  +url: "https://themarkup.org/pixel-hunt/2023/11/22/facebook-watches-teens-online-as-they-prep-for-college"
  +body: "“After signing into their ACT account, if a student accepted cookies on the following page, Facebook received details on almost everything they clicked on—including scrambled but identifiable data like their first and last name, and whether they’re registering for the ACT. The site even registered clicks about a student’s ethnicity and gender, and whether they planned to request college financial aid or needed accommodations for a disability”"
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 22
  +favouriteCount: 273
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1701054765 {#1786
    date: 2023-11-27 04:12:45.0 +01:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1682 …}
  +votes: Doctrine\ORM\PersistentCollection {#1444 …}
  +reports: Doctrine\ORM\PersistentCollection {#1452 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1465 …}
  +notifications: Doctrine\ORM\PersistentCollection {#1637 …}
  +badges: Doctrine\ORM\PersistentCollection {#1644 …}
  +children: []
  -id: 16660
  -titleTs: "'colleg':9 'facebook':1 'markup':11 'onlin':4 'prep':7 'teen':3 'watch':2"
  -bodyTs: "'accept':10 'accommod':67 'account':6 'act':5,43 'aid':64 'almost':20 'click':23,48 'colleg':62 'cooki':11 'data':29 'detail':18 'disabl':70 'ethnic':53 'even':46 'everyth':21 'facebook':16 'financi':63 'first':32 'follow':14 'gender':55 'identifi':28 'includ':25 'last':34 'like':30 'name':35 'need':66 'page':15 'plan':59 're':39 'receiv':17 'regist':40,47 'request':61 'scrambl':26 'sign':2 'site':45 'student':9,51 'whether':37,57"
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  +upVotes: 0
  +downVotes: 0
  +ranking: 1701001622
  +visibility: "visible             "
  +apId: "https://lemmy.ml/post/8446569"
  +editedAt: DateTimeImmutable @1701483606 {#1780
    date: 2023-12-02 03:20:06.0 +01:00
  }
  +createdAt: DateTimeImmutable @1700915222 {#1764
    date: 2023-11-25 13:27:02.0 +01:00
  }
}
"App\Security\Voter\UserVoter"
null
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1627
  +user: Proxies\__CG__\App\Entity\User {#1495 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1742 …}
  +image: Proxies\__CG__\App\Entity\Image {#1624 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "Your-Smart-TV-Knows-What-You-re-Watching"
  +title: "Your Smart TV Knows What You’re Watching"
  +url: "https://themarkup.org/privacy/2023/12/12/your-smart-tv-knows-what-youre-watching"
  +body: "> These TVs can capture and identify 7,200 images per hour, or approximately two every second. The data is then used for content recommendations and ad targeting, which is a huge business; advertisers spent an estimated $18.6 billion on smart TV ads in 2022, according to market research firm eMarketer."
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 0
  +favouriteCount: 0
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1702401110 {#1622
    date: 2023-12-12 18:11:50.0 +01:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1634 …}
  +votes: Doctrine\ORM\PersistentCollection {#1635 …}
  +reports: Doctrine\ORM\PersistentCollection {#1409 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1449 …}
  +notifications: Doctrine\ORM\PersistentCollection {#1422 …}
  +badges: Doctrine\ORM\PersistentCollection {#1447 …}
  +children: []
  -id: 26347
  -titleTs: "'know':4 're':7 'smart':2 'tv':3 'watch':8"
  -bodyTs: "'18.6':37 '200':8 '2022':44 '7':7 'accord':45 'ad':26,42 'advertis':33 'approxim':13 'billion':38 'busi':32 'captur':4 'content':23 'data':18 'emarket':50 'estim':36 'everi':15 'firm':49 'hour':11 'huge':31 'identifi':6 'imag':9 'market':47 'per':10 'recommend':24 'research':48 'second':16 'smart':40 'spent':34 'target':27 'tv':41 'tvs':2 'two':14 'use':21"
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 0
  +visibility: "visible             "
  +apId: "https://kbin.social/m/privacy@lemmy.ml/t/698573"
  +editedAt: null
  +createdAt: DateTimeImmutable @1702401110 {#1633
    date: 2023-12-12 18:11:50.0 +01:00
  }
}
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1627
  +user: Proxies\__CG__\App\Entity\User {#1495 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1742 …}
  +image: Proxies\__CG__\App\Entity\Image {#1624 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "Your-Smart-TV-Knows-What-You-re-Watching"
  +title: "Your Smart TV Knows What You’re Watching"
  +url: "https://themarkup.org/privacy/2023/12/12/your-smart-tv-knows-what-youre-watching"
  +body: "> These TVs can capture and identify 7,200 images per hour, or approximately two every second. The data is then used for content recommendations and ad targeting, which is a huge business; advertisers spent an estimated $18.6 billion on smart TV ads in 2022, according to market research firm eMarketer."
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 0
  +favouriteCount: 0
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1702401110 {#1622
    date: 2023-12-12 18:11:50.0 +01:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1634 …}
  +votes: Doctrine\ORM\PersistentCollection {#1635 …}
  +reports: Doctrine\ORM\PersistentCollection {#1409 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1449 …}
  +notifications: Doctrine\ORM\PersistentCollection {#1422 …}
  +badges: Doctrine\ORM\PersistentCollection {#1447 …}
  +children: []
  -id: 26347
  -titleTs: "'know':4 're':7 'smart':2 'tv':3 'watch':8"
  -bodyTs: "'18.6':37 '200':8 '2022':44 '7':7 'accord':45 'ad':26,42 'advertis':33 'approxim':13 'billion':38 'busi':32 'captur':4 'content':23 'data':18 'emarket':50 'estim':36 'everi':15 'firm':49 'hour':11 'huge':31 'identifi':6 'imag':9 'market':47 'per':10 'recommend':24 'research':48 'second':16 'smart':40 'spent':34 'target':27 'tv':41 'tvs':2 'two':14 'use':21"
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 0
  +visibility: "visible             "
  +apId: "https://kbin.social/m/privacy@lemmy.ml/t/698573"
  +editedAt: null
  +createdAt: DateTimeImmutable @1702401110 {#1633
    date: 2023-12-12 18:11:50.0 +01:00
  }
}
"App\Security\Voter\UserVoter"
App\Entity\Entry {#1627
  +user: Proxies\__CG__\App\Entity\User {#1495 …}
  +magazine: Proxies\__CG__\App\Entity\Magazine {#1742 …}
  +image: Proxies\__CG__\App\Entity\Image {#1624 …}
  +domain: App\Entity\Domain {#282 …}
  +slug: "Your-Smart-TV-Knows-What-You-re-Watching"
  +title: "Your Smart TV Knows What You’re Watching"
  +url: "https://themarkup.org/privacy/2023/12/12/your-smart-tv-knows-what-youre-watching"
  +body: "> These TVs can capture and identify 7,200 images per hour, or approximately two every second. The data is then used for content recommendations and ad targeting, which is a huge business; advertisers spent an estimated $18.6 billion on smart TV ads in 2022, according to market research firm eMarketer."
  +type: "link"
  +lang: "en"
  +isOc: false
  +hasEmbed: false
  +commentCount: 0
  +favouriteCount: 0
  +score: 0
  +isAdult: false
  +sticky: false
  +lastActive: DateTime @1702401110 {#1622
    date: 2023-12-12 18:11:50.0 +01:00
  }
  +ip: null
  +adaAmount: 0
  +tags: null
  +mentions: null
  +comments: Doctrine\ORM\PersistentCollection {#1634 …}
  +votes: Doctrine\ORM\PersistentCollection {#1635 …}
  +reports: Doctrine\ORM\PersistentCollection {#1409 …}
  +favourites: Doctrine\ORM\PersistentCollection {#1449 …}
  +notifications: Doctrine\ORM\PersistentCollection {#1422 …}
  +badges: Doctrine\ORM\PersistentCollection {#1447 …}
  +children: []
  -id: 26347
  -titleTs: "'know':4 're':7 'smart':2 'tv':3 'watch':8"
  -bodyTs: "'18.6':37 '200':8 '2022':44 '7':7 'accord':45 'ad':26,42 'advertis':33 'approxim':13 'billion':38 'busi':32 'captur':4 'content':23 'data':18 'emarket':50 'estim':36 'everi':15 'firm':49 'hour':11 'huge':31 'identifi':6 'imag':9 'market':47 'per':10 'recommend':24 'research':48 'second':16 'smart':40 'spent':34 'target':27 'tv':41 'tvs':2 'two':14 'use':21"
  +cross: false
  +upVotes: 0
  +downVotes: 0
  +ranking: 0
  +visibility: "visible             "
  +apId: "https://kbin.social/m/privacy@lemmy.ml/t/698573"
  +editedAt: null
  +createdAt: DateTimeImmutable @1702401110 {#1633
    date: 2023-12-12 18:11:50.0 +01:00
  }
}
"App\Security\Voter\UserVoter"

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