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Firebase Security.
When you build a Firebase app, you can perform user authentication and work with your database entirely from your front end code.
But how is this possible?
If our database is exposed on the client, wouldn't that mean that any hacker could then read or write private user data?
The answer is no because your The structure is protected by a mechanism known as Firebase Security Rules, which can be applied to real time database, cloud storage, and Fire Store?
In a traditional web application, you have a server.
On that server, you implement security logic that uses either tokens or cookies To verify that a user making a request is authorized to do so.
Firebase rules achieve the same thing, but without the need to write, maintain, and deploy server I'd code.
Instead, you create a policy to define who has access to what in your database using a very easy to learn language Called common expression language.
Whenever a user makes a request to read or write to your database, that request is routed through this policy.
Every operation is denied by default.
When a request comes in, it will look for the first rule to allow it.
Once allowed, Firebase can and securely read or write to your database?
You can write rules from the Firebase console or your IDE.
In the console, you can time travel back to Any previous rules you've used in the past?
Or use the Playground to send a mock request to your database.
And in production, you can analyze exactly how your rules are being Tudit?
To enforce a rule, we start by matching a path in the database, which can be as broad as the entire database or as granular as a single document.
A single document can be matched with a collection followed by a document ID.
If we want anybody to read and write to this document, we can say allow read and write.
But that's not very secure.
Let's make sure a user is logged into our app to view the document, which we can do by writing conditional logic.
We allow the operation if the request auth object does not equal null.
When it comes to write, we can make sure only the user that owns the document can write to it by By checking the request auth user ID.
In most cases though, you'll want your rules to apply to an entire collection.
If we wrap the document ID in braces, The rule now applies to any document in that collection, and we can use the document ID as a variable in our logic.
And now we have a Firebase app that's 100% Secure without any vulnerabilities whatsoever.
But there's a lot more to learn.
Consider becoming a pro member at Fireship IO to get access to the new Firebase Security Master Course, Where you'll learn all kinds of advanced techniques for real world applications.
Thanks for watching, and I will see you in the next one.

Speaker 0: Firebase Security. When you build a Firebase app, you can perform user authentication and work with your database entirely from your front end code. But how is this possible? If our database is exposed on the client, wouldn't that mean that any hacker could then read or write private user data? The answer is no because your The structure is protected by a mechanism known as Firebase Security Rules, which can be applied to real time database, cloud storage, and Fire Store?

In a traditional web application, you have a server. On that server, you implement security logic that uses either tokens or cookies To verify that a user making a request is authorized to do so. Firebase rules achieve the same thing, but without the need to write, maintain, and deploy server I'd code. Instead, you create a policy to define who has access to what in your database using a very easy to learn language Called common expression language. Whenever a user makes a request to read or write to your database, that request is routed through this policy.

Every operation is denied by default. When a request comes in, it will look for the first rule to allow it. Once allowed, Firebase can and securely read or write to your database? You can write rules from the Firebase console or your IDE. In the console, you can time travel back to Any previous rules you've used in the past?

Or use the Playground to send a mock request to your database. And in production, you can analyze exactly how your rules are being Tudit? To enforce a rule, we start by matching a path in the database, which can be as broad as the entire database or as granular as a single document. A single document can be matched with a collection followed by a document ID. If we want anybody to read and write to this document, we can say allow read and write.

But that's not very secure. Let's make sure a user is logged into our app to view the document, which we can do by writing conditional logic. We allow the operation if the request auth object does not equal null. When it comes to write, we can make sure only the user that owns the document can write to it by By checking the request auth user ID. In most cases though, you'll want your rules to apply to an entire collection.

If we wrap the document ID in braces, The rule now applies to any document in that collection, and we can use the document ID as a variable in our logic. And now we have a Firebase app that's 100% Secure without any vulnerabilities whatsoever. But there's a lot more to learn. Consider becoming a pro member at Fireship IO to get access to the new Firebase Security Master Course, Where you'll learn all kinds of advanced techniques for real world applications. Thanks for watching, and I will see you in the next one.
Firebase Security. When you build a Firebase app, you can perform user authentication and work with your database entirely from your front end code. But how is this possible? If our database is exposed on the client, wouldn't that mean that any hacker could then read or write private user data? The answer is no because your The structure is protected by a mechanism known as Firebase Security Rules, which can be applied to real time database, cloud storage, and Fire Store? In a traditional web application, you have a server. On that server, you implement security logic that uses either tokens or cookies To verify that a user making a request is authorized to do so. Firebase rules achieve the same thing, but without the need to write, maintain, and deploy server I'd code.
security
Instead, you create a policy to define who has access to what in your database using a very easy to learn language Called common expression language. Whenever a user makes a request to read or write to your database, that request is routed through this policy. Every operation is denied by default. When a request comes in, it will look for the first rule to allow it. Once allowed, Firebase can and securely read or write to your database? You can write rules from the Firebase console or your IDE. In the console, you can time travel back to Any previous rules you've used in the past?
Or use the Playground to send a mock request to your database. And in production, you can analyze exactly how your rules are being Tudit? To enforce a rule, we start by matching a path in the database, which can be as broad as the entire database or as granular as a single document. A single document can be matched with a collection followed by a document ID. If we want anybody to read and write to this document, we can say allow read and write. But that's not very secure. Let's make sure a user is logged into our app to view the document, which we can do by writing conditional logic.
databases
documentation
data management
reading
We allow the operation if the request auth object does not equal null. When it comes to write, we can make sure only the user that owns the document can write to it by By checking the request auth user ID. In most cases though, you'll want your rules to apply to an entire collection. If we wrap the document ID in braces, The rule now applies to any document in that collection, and we can use the document ID as a variable in our logic.
And now we have a Firebase app that's 100% Secure without any vulnerabilities whatsoever. But there's a lot more to learn. Consider becoming a pro member at Fireship IO to get access to the new Firebase Security Master Course, Where you'll learn all kinds of advanced techniques for real world applications.
security
Thanks for watching, and I will see you in the next one.
Firebase Security. When you build a Firebase app, you can perform user authentication and work with your database entirely from your front end code. But how is this possible? If our database is exposed on the client, wouldn't that mean that any hacker could then read or write private user data? The answer is no because your The structure is protected by a mechanism known as Firebase Security Rules, which can be applied to real time database, cloud storage, and Fire Store? In a traditional web application, you have a server. On that server, you implement security logic that uses either tokens or cookies To verify that a user making a request is authorized to do so. Firebase rules achieve the same thing, but without the need to write, maintain, and deploy server I'd code. Instead, you create a policy to define who has access to what in your database using a very easy to learn language Called common expression language. Whenever a user makes a request to read or write to your database, that request is routed through this policy. Every operation is denied by default. When a request comes in, it will look for the first rule to allow it. Once allowed, Firebase can and securely read or write to your database? You can write rules from the Firebase console or your IDE. In the console, you can time travel back to Any previous rules you've used in the past? Or use the Playground to send a mock request to your database. And in production, you can analyze exactly how your rules are being Tudit? To enforce a rule, we start by matching a path in the database, which can be as broad as the entire database or as granular as a single document. A single document can be matched with a collection followed by a document ID. If we want anybody to read and write to this document, we can say allow read and write. But that's not very secure. Let's make sure a user is logged into our app to view the document, which we can do by writing conditional logic. We allow the operation if the request auth object does not equal null. When it comes to write, we can make sure only the user that owns the document can write to it by By checking the request auth user ID. In most cases though, you'll want your rules to apply to an entire collection. If we wrap the document ID in braces, The rule now applies to any document in that collection, and we can use the document ID as a variable in our logic. And now we have a Firebase app that's 100% Secure without any vulnerabilities whatsoever. But there's a lot more to learn. Consider becoming a pro member at Fireship IO to get access to the new Firebase Security Master Course, Where you'll learn all kinds of advanced techniques for real world applications. Thanks for watching, and I will see you in the next one.
Firebase
firebase
Security.
security
When
when
you
you
build
build
a
a
Firebase
firebase
app,
app
you
you
can
can
perform
perform
user
user
authentication
authentication
and
and
work
work
with
with
your
your
database
database
entirely
entirely
from
from
your
your
front
front
end
end
code.
code
But
but
how
how
is
is
this
this
possible?
possible
If
if
our
our
database
database
is
is
exposed
exposed
on
on
the
the
client,
client
wouldn't
wouldn't
that
that
mean
mean
that
that
any
any
hacker
hacker
could
could
then
then
read
read
or
or
write
write
private
private
user
user
data?
data
The
the
answer
answer
is
is
no
no
because
because
your
your
The
the
structure
structure
is
is
protected
protected
by
by
a
a
mechanism
mechanism
known
known
as
as
Firebase
firebase
Security
security
Rules,
rules
which
which
can
can
be
be
applied
applied
to
to
real
real
time
time
database,
database
cloud
cloud
storage,
storage
and
and
Fire
fire
Store?
store
In
in
a
a
traditional
traditional
web
web
application,
application
you
you
have
have
a
a
server.
server
On
on
that
that
server,
server
you
you
implement
implement
security
security
logic
logic
that
that
uses
uses
either
either
tokens
tokens
or
or
cookies
cookies
To
to
verify
verify
that
that
a
a
user
user
making
making
a
a
request
request
is
is
authorized
authorized
to
to
do
do
so.
so
Firebase
firebase
rules
rules
achieve
achieve
the
the
same
same
thing,
thing
but
but
without
without
the
the
need
need
to
to
write,
write
maintain,
maintain
and
and
deploy
deploy
server
server
I'd
i'd
code.
code
Instead,
instead
you
you
create
create
a
a
policy
policy
to
to
define
define
who
who
has
has
access
access
to
to
what
what
in
in
your
your
database
database
using
using
a
a
very
very
easy
easy
to
to
learn
learn
language
language
Called
called
common
common
expression
expression
language.
language
Whenever
whenever
a
a
user
user
makes
makes
a
a
request
request
to
to
read
read
or
or
write
write
to
to
your
your
database,
database
that
that
request
request
is
is
routed
routed
through
through
this
this
policy.
policy
Every
every
operation
operation
is
is
denied
denied
by
by
default.
default
When
when
a
a
request
request
comes
comes
in,
in
it
it
will
will
look
look
for
for
the
the
first
first
rule
rule
to
to
allow
allow
it.
it
Once
once
allowed,
allowed
Firebase
firebase
can
can
and
and
securely
securely
read
read
or
or
write
write
to
to
your
your
database?
database
You
you
can
can
write
write
rules
rules
from
from
the
the
Firebase
firebase
console
console
or
or
your
your
IDE.
ide
In
in
the
the
console,
console
you
you
can
can
time
time
travel
travel
back
back
to
to
Any
any
previous
previous
rules
rules
you've
you've
used
used
in
in
the
the
past?
past
Or
or
use
use
the
the
Playground
playground
to
to
send
send
a
a
mock
mock
request
request
to
to
your
your
database.
database
And
and
in
in
production,
production
you
you
can
can
analyze
analyze
exactly
exactly
how
how
your
your
rules
rules
are
are
being
being
Tudit?
tudit
To
to
enforce
enforce
a
a
rule,
rule
we
we
start
start
by
by
matching
matching
a
a
path
path
in
in
the
the
database,
database
which
which
can
can
be
be
as
as
broad
broad
as
as
the
the
entire
entire
database
database
or
or
as
as
granular
granular
as
as
a
a
single
single
document.
document
A
a
single
single
document
document
can
can
be
be
matched
matched
with
with
a
a
collection
collection
followed
followed
by
by
a
a
document
document
ID.
id
If
if
we
we
want
want
anybody
anybody
to
to
read
read
and
and
write
write
to
to
this
this
document,
document
we
we
can
can
say
say
allow
allow
read
read
and
and
write.
write
But
but
that's
that's
not
not
very
very
secure.
secure
Let's
let's
make
make
sure
sure
a
a
user
user
is
is
logged
logged
into
into
our
our
app
app
to
to
view
view
the
the
document,
document
which
which
we
we
can
can
do
do
by
by
writing
writing
conditional
conditional
logic.
logic
We
we
allow
allow
the
the
operation
operation
if
if
the
the
request
request
auth
auth
object
object
does
does
not
not
equal
equal
null.
null
When
when
it
it
comes
comes
to
to
write,
write
we
we
can
can
make
make
sure
sure
only
only
the
the
user
user
that
that
owns
owns
the
the
document
document
can
can
write
write
to
to
it
it
by
by
By
by
checking
checking
the
the
request
request
auth
auth
user
user
ID.
id
In
in
most
most
cases
cases
though,
though
you'll
you'll
want
want
your
your
rules
rules
to
to
apply
apply
to
to
an
an
entire
entire
collection.
collection
If
if
we
we
wrap
wrap
the
the
document
document
ID
id
in
in
braces,
braces
The
the
rule
rule
now
now
applies
applies
to
to
any
any
document
document
in
in
that
that
collection,
collection
and
and
we
we
can
can
use
use
the
the
document
document
ID
id
as
as
a
a
variable
variable
in
in
our
our
logic.
logic
And
and
now
now
we
we
have
have
a
a
Firebase
firebase
app
app
that's
that's
100%
100%
Secure
secure
without
without
any
any
vulnerabilities
vulnerabilities
whatsoever.
whatsoever
But
but
there's
there's
a
a
lot
lot
more
more
to
to
learn.
learn
Consider
consider
becoming
becoming
a
a
pro
pro
member
member
at
at
Fireship
fireship
IO
io
to
to
get
get
access
access
to
to
the
the
new
new
Firebase
firebase
Security
security
Master
master
Course,
course
Where
where
you'll
you'll
learn
learn
all
all
kinds
kinds
of
of
advanced
advanced
techniques
techniques
for
for
real
real
world
world
applications.
applications
Thanks
thanks
for
for
watching,
watching
and
and
I
i
will
will
see
see
you
you
in
in
the
the
next
next
one.
one
success
The speaker explains that using a perimeter security code to protect user data in a reminded database is not secure since the structure is protected by a mechanism called Guinea Security Rules." The use of these rules is necessary to ensure a user is authorized to read or write to their database. The speaker also discusses the use of a Playground to send a mock request to their database and the importance of creating a policy to ensure access to a entire collection of data.
Firebase Security in 100 Seconds
Firebase Security. When you build a Firebase app, you can perform user authentication and work with your database entirely from your front end code. But how is this possible? If our database is exposed on the client, wouldn't that mean that any hacker could then read or write private user data? The answer is no because your The structure is protected by a mechanism known as Firebase Security Rules, which can be applied to real time database, cloud storage, and Fire Store? In a traditional web application, you have a server. On that server, you implement security logic that uses either tokens or cookies To verify that a user making a request is authorized to do so. Firebase rules achieve the same thing, but without the need to write, maintain, and deploy server I'd code. Instead, you create a policy to define who has access to what in your database using a very easy to learn language Called common expression language. Whenever a user makes a request to read or write to your database, that request is routed through this policy. Every operation is denied by default. When a request comes in, it will look for the first rule to allow it. Once allowed, Firebase can and securely read or write to your database? You can write rules from the Firebase console or your IDE. In the console, you can time travel back to Any previous rules you've used in the past? Or use the Playground to send a mock request to your database. And in production, you can analyze exactly how your rules are being Tudit? To enforce a rule, we start by matching a path in the database, which can be as broad as the entire database or as granular as a single document. A single document can be matched with a collection followed by a document ID. If we want anybody to read and write to this document, we can say allow read and write. But that's not very secure. Let's make sure a user is logged into our app to view the document, which we can do by writing conditional logic. We allow the operation if the request auth object does not equal null. When it comes to write, we can make sure only the user that owns the document can write to it by By checking the request auth user ID. In most cases though, you'll want your rules to apply to an entire collection. If we wrap the document ID in braces, The rule now applies to any document in that collection, and we can use the document ID as a variable in our logic. And now we have a Firebase app that's 100% Secure without any vulnerabilities whatsoever. But there's a lot more to learn. Consider becoming a pro member at Fireship IO to get access to the new Firebase Security Master Course, Where you'll learn all kinds of advanced techniques for real world applications. Thanks for watching, and I will see you in the next one.
The speaker explains that using a perimeter security code to protect user data in a reminded database is not secure since the structure is protected by a mechanism called Guinea Security Rules." The use of these rules is necessary to ensure a user is authorized to read or write to their database. The speaker also discusses the use of a Playground to send a mock request to their database and the importance of creating a policy to ensure access to a entire collection of data.