SlideShare a Scribd company logo
1 of 131
Download to read offline
Getting buzzed
on Buzzwords
moloch
@littlejoetables
mandatory
@iammandatory
Hola!
I am Mandatory
Hola!
I am Mandatory
About
Security engineer, XSS Hunter, DNS, and more!
Hola!
I am Mandatory
About
Security engineer, XSS Hunter, DNS, and more!
Industry Certifications
High School Diploma
Hola!
I am Mandatory
About
Security engineer, XSS Hunter, DNS, and more!
Industry Certifications
High School Diploma
Blog Twitter
TheHackerBlog.com @iammandatory
EHLO
I am Moloch
EHLO
I am Moloch
About
I like computers.
EHLO
I am Moloch
About
I like computers.
Industry Certifications
High School Diploma
EHLO
I am Moloch
About
I like computers.
Industry Certifications
High School Diploma
Occupation Twitter
Senior Associate, Bishop Fox @littlejoetables
The Cloud
The Deep Cloud?
Distributed Cloud!
THE DARK CLOUD
Raise your hand if you’re an
AWS employee…
Raise your hand if you’re a
reverse engineer…
AWS Services
Let’s Get VC Funding
Let’s Get VC Funding
• Buy some eScooters off of
Amazon …
Let’s Get VC Funding
Let’s Get VC Funding
• “Burp Intruder” at ∞ QPS
Let’s Get VC Funding
• “Burp Intruder” at ∞ QPS
• Cloud Rainbow Tables
Let’s Get VC Funding
• “Burp Intruder” at ∞ QPS
• Cloud Rainbow Tables
• Cost effective GPU clusters
Let’s Get VC Funding
• “Burp Intruder” at ∞ QPS
• Cloud Rainbow Tables
• Cost effective GPU clusters
• …maybe more time
permitting
”Burp Intruder” at
∞ QPS
Burp Intruder
Burp Intruder
Burp Limits
• Your laptop Internet speed
• Threaded model
• Single app, single computer
It’s not web scale!
Serverless “Burp Intruder”
• Do the same thing but with
Lambdas
• Scale up to ∞ QPS
• Store all the results in S3
Lambda Functions
• Lambdas are self-contained code
packages
• No “server” hence “serverless”
• Billed $0.20 per 1 million requests
and ~$0.17 per 10K GB seconds
• “Event based” executions
Chicken & Egg
• Invoking a Lambda is 1 API
call
• 10 API calls = 10 runs
• How we do quickly ramp up?
Serverless “Burp Intruder”
• Self-invocating Lambda
• Take work
• Split work
• Call self with both halves
Rama Lambda Ding Dong
Lambda
Function
Rama Lambda Ding Dong
Lambda
Function
Work
A
B
C
D
E
F
Rama Lambda Ding Dong
Lambda
Function
Work
A
B
C
D
E
F
Work
A
B
C
Work
D
E
F
Rama Lambda Ding Dong
Lambda
Function
Work
A
B
C
D
E
F
Lambda
Function
Lambda
Function
Work
A
B
C
Work
D
E
F
Rama Lambda Ding Dong
Lambda
Function
Work
A
B
C
D
E
F
Lambda
Function
Lambda
Function
Work
A
B
C
Work
D
E
F
Rama Lambda Ding Dong
Lambda
Function
Work
A
B
C
D
E
F
Lambda
Function
Lambda
Function
Work
A
B
C
Work
D
E
F
Lambda
Function
Work
A
Do NOT DoS the server!
The Design
• Payloads decoupled from
requester
• Stateless
• Scales up infinitely ( with $ )
Available Now!
github.com/mandatoryprogrammer/
lambda-intruder
Rainbow Tables
What’s a Rainbow Table?
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
What’s a Password Hash?
“P@ssw0rd” HASH
FUNCTION
74b873374542…
What’s a Password Hash?
“Password” HASH
FUNCTION
74b873374542…
What’s a Password Hash?
“Password” HASH
FUNCTION
74b873374542…
What’s a Password Hash?
“P@ssw0rd” HASH
FUNCTION
74b873374542…
Expensive
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
346829f0a01c…
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
346829f0a01c…
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
346829f0a01c…
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
346829f0a01c…
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
What’s a Rainbow Table?
• Pre-computation attacks against
password hashes
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
74b873374542… -> password
fbac02ff7509… -> Password
…
346829f0a01c… -> P@ssw0rd
346829f0a01c…
What’s a Rainbow Table?
16354d904b4b… -> password
346829f0a01c… -> P@ssw0rd
74b873374542… -> password
8eecf9616354… -> pAssword
a3fc41333f50… -> paSsword
fbac02ff7509… -> Password
346829f0a01c…
What’s a Rainbow Table?
16354d904b4b… -> password
346829f0a01c… -> P@ssw0rd
74b873374542… -> password
8eecf9616354… -> pAssword
a3fc41333f50… -> paSsword
fbac02ff7509… -> Password
346829f0a01c…
What’s a Rainbow Table?
Team Logistics
• Large file sizes ( hundreds of GBs )
• Remote access ( servers )
• Server maintenance, hard drive
failures, redundancy
Why not use a database?
Rainbow Tables
?
Database Tables
Why not use a database?
Why not use a database?
Google Big Query
What is Big Query?
What is Big Query?
BigQuery is Google's serverless,
highly scalable, enterprise data
warehouse designed to make all
your data analysts productive at an
unmatched price-performance.
What is Big Query?
It’s a big database you can crap
terabytes of JSON into and query it.
Big Query
{
"preimage": "0000",
"md4": "+f1Xv3XKVdu0kX2fFp/Luw==",
"md5": "Sn0e1BRHTkAzrCnMuGU9mw==",
"sha1": "Od+lUoMxjTGv5aP/Sg4yU+IEXkM=",
…}n
Big Query
{
"preimage": "0000",
"md4": "+f1Xv3XKVdu0kX2fFp/Luw==",
"md5": "Sn0e1BRHTkAzrCnMuGU9mw==",
"sha1": "Od+lUoMxjTGv5aP/Sg4yU+IEXkM=",
…}n
Big Query
{
"preimage": "0000",
"md4": "+f1Xv3XKVdu0kX2fFp/Luw==",
"md5": "Sn0e1BRHTkAzrCnMuGU9mw==",
"sha1": "Od+lUoMxjTGv5aP/Sg4yU+IEXkM=",
…}n
Big Query
{
"preimage": "0000",
"md4": "+f1Xv3XKVdu0kX2fFp/Luw==",
"md5": "Sn0e1BRHTkAzrCnMuGU9mw==",
"sha1": "Od+lUoMxjTGv5aP/Sg4yU+IEXkM=",
…}n
Big Query
{
"preimage": "0000",
"md4": "+f1Xv3XKVdu0kX2fFp/Luw==",
"md5": "Sn0e1BRHTkAzrCnMuGU9mw==",
"sha1": "Od+lUoMxjTGv5aP/Sg4yU+IEXkM=",
…}n
Big Query
( Repeat a few hundred
million times )
Big Query
Big Query
Big Query
Big Query
You’re done!
No Specialized Software
Big Query Optimization Tips
• Pay for storage $0.02/GB
• Pay per query $5/TB
• Base64 encoding or better
• Truncate hashes at 48-bits
Big Query De-Duplication
Big Query De-Duplication
The Capitalist
Algorithm
( Who cares? )
Big Rainbow
Big Rainbow
AWS Lambda Big Query
RESTHTTP“Consultant”
Big Rainbow
• lm
• md4
• md5
• msdcc
• msdcc2
• mssql41
• mysql323
• ntlm
• oracle10g-sys
• oracle10g-system
• whirlpool
Big Rainbow
• lm
• md4
• md5
• msdcc
• msdcc2
• mssql41
• mysql323
• ntlm
• oracle10g-sys
• oracle10g-system
• whirlpool
• ripemd160
• sha1
• sha2-224
• sha2-256
• sha2-384
• sha2-512
• sha3-224
• sha3-256
• sha3-384
• sha3-512
Available Now!
github.com/moloch--/big-rainbow
Auto-Scaling GPU
Clusters
Traditional GPU Clusters
• High upfront costs ( $2-3k+ )
• Server maintenance
• User & resource management
• Hardware failures are expensive
• Power consumption
Let’s Design a Serverless-ish
Password Cracking Cluster
AWS Services
• Spot Instances
• Elastic Beanstalk
• Lambda Functions
• API Gateway
• Simple Queue Service ( SQS )
• Simple Storage Service ( S3 )
AWS Services
• Spot Instances
• Elastic Beanstalk
• Lambda Functions
• API Gateway
• Simple Queue Service ( SQS )
• Simple Storage Service ( S3 )
AWS Spot Instances
• It’s EC2 but at up to 90% off the
regular pricing
• You set a bid price, if the current
price is below yours then
instances are started, if they’re
above then they are killed ( 2
minute warning )
AWS Spot Instances
AWS Services
• Spot Instances
• Elastic Beanstalk
• Lambda Functions
• API Gateway
• Simple Queue Service ( SQS )
• Simple Storage Service ( S3 )
Elastic Beanstalk
• Manages AWS EC2 instances
• Load balances inbound requests or
SQS messages
• No additional charge
• Pretty graphs & stuffs
Elastic Beanstalk
Auto-Scale Spot
Resources:
AWSEBAutoScalingLaunchConfiguration:
Type: "AWS::AutoScaling::LaunchConfiguration"
Properties:
SpotPrice:
"Fn::GetOptionSetting":
Namespace: "aws:elasticbeanstalk:application:environment"
OptionName: "EC2_SPOT_PRICE"
DefaultValue: {"Ref":"AWS::NoValue"}
.ebextensions/01_setup.config
UNLIMITED POWER
AWS Services
• Spot Instances
• Elastic Beanstalk
• Lambda Functions
• API Gateway
• Simple Queue Service ( SQS )
• Simple Storage Service ( S3 )
Lambda Functions
• Trigger-based architecture
• Required to be stateless ( web scale )
API Gateway
• Fully managed API endpoints
• Magical load balancing, etc.
• *Timeouts after 29 seconds
AWS Services
• Spot Instances
• Elastic Beanstalk
• Lambda Functions
• API Gateway
• Simple Queue Service ( SQS )
• Simple Storage Service ( S3 )
Simple Queue Service
• Standard Queues
• *FIFO Queues
AWS Services
• Spot Instances
• Elastic Beanstalk
• Lambda Functions
• API Gateway
• Simple Queue Service ( SQS )
• Simple Storage Service ( S3 )
Hash Cat Pro-tips
• --keyspace != key space
• Values are specific to Hash
Cat ( --skip / --limit )
Disturbing Key Spaces
How do we jump to the n’th value?
Disturbing Key Spaces
Disturbing Key Spaces
• It’s actually a counting
problem
• Count in base ‘n’ ( n = length )
Serverless-ish GPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
Serverless-ish GPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
API Request
Serverless-ish GPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
API Response
Serverless-ish GPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
Polling Req/Resp
Serverless-ish GPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
Polling Req/Resp
Serverless-ish GPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
Polling Req/Resp
Serverless-ish GPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
Polling Req/Resp
Serverless-ish GPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
Polling Req/Resp
Serverless-ish GPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
Polling Req/Resp
Serverless-ish GPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
Coming Soon!
github.com/mandatoryprogrammer/
masscat
Untwister
F5 Edition
Untwister
• Multi-threaded ”seed
recovery” tool
• Brute-forces PRNG seeds
• Seed space varies per PRNG
The Depth Problem
• PRNGs instantiated once
• DoS bug ( XXE, etc. )
• Halting problem
Serverless-ish CPU Clusters
Lambda
Function
Lambda
Function
Auto Scaling
Coming Soon!
github.com/moloch--/untwister
How to Actually
Think About AWS
Any questions ?
Thanks!
Thanks to @0xkitty for the slide design!

More Related Content

What's hot

Zero to Sixty: AWS CloudFormation (DMG201) | AWS re:Invent 2013
Zero to Sixty: AWS CloudFormation (DMG201) | AWS re:Invent 2013Zero to Sixty: AWS CloudFormation (DMG201) | AWS re:Invent 2013
Zero to Sixty: AWS CloudFormation (DMG201) | AWS re:Invent 2013Amazon Web Services
 
AWS re:Invent 2016 recap (part 2)
AWS re:Invent 2016 recap (part 2) AWS re:Invent 2016 recap (part 2)
AWS re:Invent 2016 recap (part 2) Julien SIMON
 
(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014
(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014
(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014Amazon Web Services
 
Web Development using Ruby on Rails
Web Development using Ruby on RailsWeb Development using Ruby on Rails
Web Development using Ruby on RailsAvi Kedar
 
Analyzing Log Data With Apache Spark
Analyzing Log Data With Apache SparkAnalyzing Log Data With Apache Spark
Analyzing Log Data With Apache SparkSpark Summit
 
AWS re:Invent 2016: Automated Formal Reasoning About AWS Systems (SEC401)
AWS re:Invent 2016: Automated Formal Reasoning About AWS Systems (SEC401)AWS re:Invent 2016: Automated Formal Reasoning About AWS Systems (SEC401)
AWS re:Invent 2016: Automated Formal Reasoning About AWS Systems (SEC401)Amazon Web Services
 
The Future is Now: Leveraging the Cloud with Ruby
The Future is Now: Leveraging the Cloud with RubyThe Future is Now: Leveraging the Cloud with Ruby
The Future is Now: Leveraging the Cloud with RubyRobert Dempsey
 
Deep Dive on Amazon S3 (May 2016)
Deep Dive on Amazon S3 (May 2016)Deep Dive on Amazon S3 (May 2016)
Deep Dive on Amazon S3 (May 2016)Julien SIMON
 
Scaling on AWS to the First 10 Million Users
Scaling on AWS to the First 10 Million Users Scaling on AWS to the First 10 Million Users
Scaling on AWS to the First 10 Million Users mauerbac
 
Introduction to AWS
Introduction to AWSIntroduction to AWS
Introduction to AWSJulien SIMON
 
Paws - Perl AWS SDK Update - November 2015
Paws - Perl AWS SDK Update - November 2015Paws - Perl AWS SDK Update - November 2015
Paws - Perl AWS SDK Update - November 2015Jose Luis Martínez
 
Grabbing Forensic Images from EC2/Rackspace
Grabbing Forensic Images from EC2/RackspaceGrabbing Forensic Images from EC2/Rackspace
Grabbing Forensic Images from EC2/RackspaceJP Bourget
 
AWS Black Belt Online Seminar AWS CloudFormation アップデート
AWS Black Belt Online Seminar AWS CloudFormation アップデートAWS Black Belt Online Seminar AWS CloudFormation アップデート
AWS Black Belt Online Seminar AWS CloudFormation アップデートAmazon Web Services Japan
 
AWS CLOUD 2017 - Amazon Athena 및 Glue를 통한 빠른 데이터 질의 및 처리 기능 소개 (김상필 솔루션즈 아키텍트)
AWS CLOUD 2017 - Amazon Athena 및 Glue를 통한 빠른 데이터 질의 및 처리 기능 소개 (김상필 솔루션즈 아키텍트)AWS CLOUD 2017 - Amazon Athena 및 Glue를 통한 빠른 데이터 질의 및 처리 기능 소개 (김상필 솔루션즈 아키텍트)
AWS CLOUD 2017 - Amazon Athena 및 Glue를 통한 빠른 데이터 질의 및 처리 기능 소개 (김상필 솔루션즈 아키텍트)Amazon Web Services Korea
 
Deep Dive on Amazon Relational Database Service
Deep Dive on Amazon Relational Database ServiceDeep Dive on Amazon Relational Database Service
Deep Dive on Amazon Relational Database ServiceAmazon Web Services
 
Beyond Parallelize and Collect by Holden Karau
Beyond Parallelize and Collect by Holden KarauBeyond Parallelize and Collect by Holden Karau
Beyond Parallelize and Collect by Holden KarauSpark Summit
 
Building Your First Big Data Application on AWS
Building Your First Big Data Application on AWSBuilding Your First Big Data Application on AWS
Building Your First Big Data Application on AWSAmazon Web Services
 
Masterclass Webinar - AWS CloudFormation
Masterclass Webinar - AWS CloudFormationMasterclass Webinar - AWS CloudFormation
Masterclass Webinar - AWS CloudFormationAmazon Web Services
 
Deep Dive on Amazon RDS (May 2016)
Deep Dive on Amazon RDS (May 2016)Deep Dive on Amazon RDS (May 2016)
Deep Dive on Amazon RDS (May 2016)Julien SIMON
 

What's hot (20)

Zero to Sixty: AWS CloudFormation (DMG201) | AWS re:Invent 2013
Zero to Sixty: AWS CloudFormation (DMG201) | AWS re:Invent 2013Zero to Sixty: AWS CloudFormation (DMG201) | AWS re:Invent 2013
Zero to Sixty: AWS CloudFormation (DMG201) | AWS re:Invent 2013
 
AWS re:Invent 2016 recap (part 2)
AWS re:Invent 2016 recap (part 2) AWS re:Invent 2016 recap (part 2)
AWS re:Invent 2016 recap (part 2)
 
(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014
(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014
(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014
 
Web Development using Ruby on Rails
Web Development using Ruby on RailsWeb Development using Ruby on Rails
Web Development using Ruby on Rails
 
Analyzing Log Data With Apache Spark
Analyzing Log Data With Apache SparkAnalyzing Log Data With Apache Spark
Analyzing Log Data With Apache Spark
 
AWS re:Invent 2016: Automated Formal Reasoning About AWS Systems (SEC401)
AWS re:Invent 2016: Automated Formal Reasoning About AWS Systems (SEC401)AWS re:Invent 2016: Automated Formal Reasoning About AWS Systems (SEC401)
AWS re:Invent 2016: Automated Formal Reasoning About AWS Systems (SEC401)
 
The Future is Now: Leveraging the Cloud with Ruby
The Future is Now: Leveraging the Cloud with RubyThe Future is Now: Leveraging the Cloud with Ruby
The Future is Now: Leveraging the Cloud with Ruby
 
Deep Dive on Amazon S3 (May 2016)
Deep Dive on Amazon S3 (May 2016)Deep Dive on Amazon S3 (May 2016)
Deep Dive on Amazon S3 (May 2016)
 
Scaling on AWS to the First 10 Million Users
Scaling on AWS to the First 10 Million Users Scaling on AWS to the First 10 Million Users
Scaling on AWS to the First 10 Million Users
 
Introduction to AWS
Introduction to AWSIntroduction to AWS
Introduction to AWS
 
Paws - Perl AWS SDK Update - November 2015
Paws - Perl AWS SDK Update - November 2015Paws - Perl AWS SDK Update - November 2015
Paws - Perl AWS SDK Update - November 2015
 
Grabbing Forensic Images from EC2/Rackspace
Grabbing Forensic Images from EC2/RackspaceGrabbing Forensic Images from EC2/Rackspace
Grabbing Forensic Images from EC2/Rackspace
 
AWS Black Belt Online Seminar AWS CloudFormation アップデート
AWS Black Belt Online Seminar AWS CloudFormation アップデートAWS Black Belt Online Seminar AWS CloudFormation アップデート
AWS Black Belt Online Seminar AWS CloudFormation アップデート
 
AWS CLOUD 2017 - Amazon Athena 및 Glue를 통한 빠른 데이터 질의 및 처리 기능 소개 (김상필 솔루션즈 아키텍트)
AWS CLOUD 2017 - Amazon Athena 및 Glue를 통한 빠른 데이터 질의 및 처리 기능 소개 (김상필 솔루션즈 아키텍트)AWS CLOUD 2017 - Amazon Athena 및 Glue를 통한 빠른 데이터 질의 및 처리 기능 소개 (김상필 솔루션즈 아키텍트)
AWS CLOUD 2017 - Amazon Athena 및 Glue를 통한 빠른 데이터 질의 및 처리 기능 소개 (김상필 솔루션즈 아키텍트)
 
Deep Dive on Amazon Relational Database Service
Deep Dive on Amazon Relational Database ServiceDeep Dive on Amazon Relational Database Service
Deep Dive on Amazon Relational Database Service
 
Paws - A Perl AWS SDK
Paws - A Perl AWS SDKPaws - A Perl AWS SDK
Paws - A Perl AWS SDK
 
Beyond Parallelize and Collect by Holden Karau
Beyond Parallelize and Collect by Holden KarauBeyond Parallelize and Collect by Holden Karau
Beyond Parallelize and Collect by Holden Karau
 
Building Your First Big Data Application on AWS
Building Your First Big Data Application on AWSBuilding Your First Big Data Application on AWS
Building Your First Big Data Application on AWS
 
Masterclass Webinar - AWS CloudFormation
Masterclass Webinar - AWS CloudFormationMasterclass Webinar - AWS CloudFormation
Masterclass Webinar - AWS CloudFormation
 
Deep Dive on Amazon RDS (May 2016)
Deep Dive on Amazon RDS (May 2016)Deep Dive on Amazon RDS (May 2016)
Deep Dive on Amazon RDS (May 2016)
 

Similar to Getting Buzzed on Buzzwords: Using Cloud & Big Data to Pentest at Scale

Securing Serverless Architectures - Pop-up Loft TLV 2017
Securing Serverless Architectures - Pop-up Loft TLV 2017Securing Serverless Architectures - Pop-up Loft TLV 2017
Securing Serverless Architectures - Pop-up Loft TLV 2017Amazon Web Services
 
Securing Serverless Architecture
Securing Serverless ArchitectureSecuring Serverless Architecture
Securing Serverless ArchitectureAmazon Web Services
 
Securing Serverless Architectures
Securing Serverless ArchitecturesSecuring Serverless Architectures
Securing Serverless ArchitecturesAmazon Web Services
 
AWS Public Sector Symposium 2014 Canberra | Black Belt Tips on AWS
AWS Public Sector Symposium 2014 Canberra | Black Belt Tips on AWS AWS Public Sector Symposium 2014 Canberra | Black Belt Tips on AWS
AWS Public Sector Symposium 2014 Canberra | Black Belt Tips on AWS Amazon Web Services
 
Securing Serverless Architectures - AWS Serverless Web Day
Securing Serverless Architectures - AWS Serverless Web DaySecuring Serverless Architectures - AWS Serverless Web Day
Securing Serverless Architectures - AWS Serverless Web DayAWS Germany
 
ENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million UsersENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million UsersAmazon Web Services
 
ENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million UsersENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million UsersAmazon Web Services
 
SmugMug: From MySQL to Amazon DynamoDB (DAT204) | AWS re:Invent 2013
SmugMug: From MySQL to Amazon DynamoDB (DAT204) | AWS re:Invent 2013SmugMug: From MySQL to Amazon DynamoDB (DAT204) | AWS re:Invent 2013
SmugMug: From MySQL to Amazon DynamoDB (DAT204) | AWS re:Invent 2013Amazon Web Services
 
Scale, baby, scale!
Scale, baby, scale!Scale, baby, scale!
Scale, baby, scale!Julien SIMON
 
ENT309 scaling up to your first 10 million users
ENT309 scaling up to your first 10 million usersENT309 scaling up to your first 10 million users
ENT309 scaling up to your first 10 million usersAmazon Web Services
 
(ARC301) Scaling Up to Your First 10 Million Users
(ARC301) Scaling Up to Your First 10 Million Users(ARC301) Scaling Up to Your First 10 Million Users
(ARC301) Scaling Up to Your First 10 Million UsersAmazon Web Services
 
ENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million UsersENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million UsersAmazon Web Services
 
Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million UsersScaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million UsersAmazon Web Services
 
An Automated Laser Pointer for Your Dog : Aws IoT & Lambda
An Automated Laser Pointer for Your Dog : Aws IoT & Lambda An Automated Laser Pointer for Your Dog : Aws IoT & Lambda
An Automated Laser Pointer for Your Dog : Aws IoT & Lambda Lisa Kester
 
AWS Startup Webinar | Developing on AWS
AWS Startup Webinar | Developing on AWSAWS Startup Webinar | Developing on AWS
AWS Startup Webinar | Developing on AWSAmazon Web Services
 
So you think you are an aws ninja dean samuels
So you think you are an aws ninja   dean samuelsSo you think you are an aws ninja   dean samuels
So you think you are an aws ninja dean samuelsAmazon Web Services
 
(DEV309) Large-Scale Metrics Analysis in Ruby
(DEV309) Large-Scale Metrics Analysis in Ruby(DEV309) Large-Scale Metrics Analysis in Ruby
(DEV309) Large-Scale Metrics Analysis in RubyAmazon Web Services
 
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)Amazon Web Services
 
Serverless Architecture Patterns
Serverless Architecture PatternsServerless Architecture Patterns
Serverless Architecture PatternsAmazon Web Services
 

Similar to Getting Buzzed on Buzzwords: Using Cloud & Big Data to Pentest at Scale (20)

Securing Serverless Architectures - Pop-up Loft TLV 2017
Securing Serverless Architectures - Pop-up Loft TLV 2017Securing Serverless Architectures - Pop-up Loft TLV 2017
Securing Serverless Architectures - Pop-up Loft TLV 2017
 
Securing Serverless Architecture
Securing Serverless ArchitectureSecuring Serverless Architecture
Securing Serverless Architecture
 
Securing Serverless Architectures
Securing Serverless ArchitecturesSecuring Serverless Architectures
Securing Serverless Architectures
 
AWS Public Sector Symposium 2014 Canberra | Black Belt Tips on AWS
AWS Public Sector Symposium 2014 Canberra | Black Belt Tips on AWS AWS Public Sector Symposium 2014 Canberra | Black Belt Tips on AWS
AWS Public Sector Symposium 2014 Canberra | Black Belt Tips on AWS
 
Securing Serverless Architectures - AWS Serverless Web Day
Securing Serverless Architectures - AWS Serverless Web DaySecuring Serverless Architectures - AWS Serverless Web Day
Securing Serverless Architectures - AWS Serverless Web Day
 
ENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million UsersENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million Users
 
ENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million UsersENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million Users
 
SmugMug: From MySQL to Amazon DynamoDB (DAT204) | AWS re:Invent 2013
SmugMug: From MySQL to Amazon DynamoDB (DAT204) | AWS re:Invent 2013SmugMug: From MySQL to Amazon DynamoDB (DAT204) | AWS re:Invent 2013
SmugMug: From MySQL to Amazon DynamoDB (DAT204) | AWS re:Invent 2013
 
Scale, baby, scale!
Scale, baby, scale!Scale, baby, scale!
Scale, baby, scale!
 
ENT309 scaling up to your first 10 million users
ENT309 scaling up to your first 10 million usersENT309 scaling up to your first 10 million users
ENT309 scaling up to your first 10 million users
 
(ARC301) Scaling Up to Your First 10 Million Users
(ARC301) Scaling Up to Your First 10 Million Users(ARC301) Scaling Up to Your First 10 Million Users
(ARC301) Scaling Up to Your First 10 Million Users
 
ENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million UsersENT309 Scaling Up to Your First 10 Million Users
ENT309 Scaling Up to Your First 10 Million Users
 
Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million UsersScaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users
 
An Automated Laser Pointer for Your Dog : Aws IoT & Lambda
An Automated Laser Pointer for Your Dog : Aws IoT & Lambda An Automated Laser Pointer for Your Dog : Aws IoT & Lambda
An Automated Laser Pointer for Your Dog : Aws IoT & Lambda
 
AWS Startup Webinar | Developing on AWS
AWS Startup Webinar | Developing on AWSAWS Startup Webinar | Developing on AWS
AWS Startup Webinar | Developing on AWS
 
Log Analysis At Scale
Log Analysis At ScaleLog Analysis At Scale
Log Analysis At Scale
 
So you think you are an aws ninja dean samuels
So you think you are an aws ninja   dean samuelsSo you think you are an aws ninja   dean samuels
So you think you are an aws ninja dean samuels
 
(DEV309) Large-Scale Metrics Analysis in Ruby
(DEV309) Large-Scale Metrics Analysis in Ruby(DEV309) Large-Scale Metrics Analysis in Ruby
(DEV309) Large-Scale Metrics Analysis in Ruby
 
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
 
Serverless Architecture Patterns
Serverless Architecture PatternsServerless Architecture Patterns
Serverless Architecture Patterns
 

More from Bishop Fox

OWASP LA – SharePoint Hacking – 22Feb2012 – Slides.PDF
OWASP LA – SharePoint Hacking – 22Feb2012 – Slides.PDFOWASP LA – SharePoint Hacking – 22Feb2012 – Slides.PDF
OWASP LA – SharePoint Hacking – 22Feb2012 – Slides.PDFBishop Fox
 
InfoSec World 2016 – RFIDiggity – Pentester Guide to Hacking HF/NFC and UHF...
	 InfoSec World 2016 – RFIDiggity – Pentester Guide to Hacking HF/NFC and UHF...	 InfoSec World 2016 – RFIDiggity – Pentester Guide to Hacking HF/NFC and UHF...
InfoSec World 2016 – RFIDiggity – Pentester Guide to Hacking HF/NFC and UHF...Bishop Fox
 
InfoSec World 2013 – W4 – Using Google to Find Vulnerabilities in Your IT Env...
InfoSec World 2013 – W4 – Using Google to Find Vulnerabilities in Your IT Env...InfoSec World 2013 – W4 – Using Google to Find Vulnerabilities in Your IT Env...
InfoSec World 2013 – W4 – Using Google to Find Vulnerabilities in Your IT Env...Bishop Fox
 
DEFCON 20 (2012) – Tenacious Diggity – 29July2012 – Slides.PDF
DEFCON 20 (2012) – Tenacious Diggity – 29July2012 – Slides.PDFDEFCON 20 (2012) – Tenacious Diggity – 29July2012 – Slides.PDF
DEFCON 20 (2012) – Tenacious Diggity – 29July2012 – Slides.PDFBishop Fox
 
SpellCheckV2 Rules
SpellCheckV2 RulesSpellCheckV2 Rules
SpellCheckV2 RulesBishop Fox
 
Smarter Home Invasion With ZigDiggity
Smarter Home Invasion With ZigDiggitySmarter Home Invasion With ZigDiggity
Smarter Home Invasion With ZigDiggityBishop Fox
 
Hacking Exposed EBS Volumes
Hacking Exposed EBS Volumes Hacking Exposed EBS Volumes
Hacking Exposed EBS Volumes Bishop Fox
 
Ghost in the Browser: Broad-Scale Espionage with Bitsquatting
 Ghost in the Browser: Broad-Scale Espionage with Bitsquatting Ghost in the Browser: Broad-Scale Espionage with Bitsquatting
Ghost in the Browser: Broad-Scale Espionage with BitsquattingBishop Fox
 
Ferris Bueller’s Guide to Abuse Domain Permutations
Ferris Bueller’s Guide to Abuse Domain PermutationsFerris Bueller’s Guide to Abuse Domain Permutations
Ferris Bueller’s Guide to Abuse Domain PermutationsBishop Fox
 
Check Your Privilege (Escalation)
Check Your Privilege (Escalation) Check Your Privilege (Escalation)
Check Your Privilege (Escalation) Bishop Fox
 
Introduction to Linux Privilege Escalation Methods
Introduction to Linux Privilege Escalation MethodsIntroduction to Linux Privilege Escalation Methods
Introduction to Linux Privilege Escalation MethodsBishop Fox
 
Penetration Testing Resource Guide
Penetration Testing Resource Guide Penetration Testing Resource Guide
Penetration Testing Resource Guide Bishop Fox
 
Network Penetration Testing Toolkit - Nmap, Netcat, and Metasploit Basics
Network Penetration Testing Toolkit - Nmap, Netcat, and Metasploit BasicsNetwork Penetration Testing Toolkit - Nmap, Netcat, and Metasploit Basics
Network Penetration Testing Toolkit - Nmap, Netcat, and Metasploit BasicsBishop Fox
 
How Perceptual Analysis Helps Bug Hunters
How Perceptual Analysis Helps Bug HuntersHow Perceptual Analysis Helps Bug Hunters
How Perceptual Analysis Helps Bug HuntersBishop Fox
 
Evolving Cyber Adversary Simulation: How Red Teaming Benefits Organizations
Evolving Cyber Adversary Simulation: How Red Teaming Benefits OrganizationsEvolving Cyber Adversary Simulation: How Red Teaming Benefits Organizations
Evolving Cyber Adversary Simulation: How Red Teaming Benefits OrganizationsBishop Fox
 
ASU Cybersecurity Symposium - Breaking Into a Career of Breaking In
ASU Cybersecurity Symposium - Breaking Into a Career of Breaking In ASU Cybersecurity Symposium - Breaking Into a Career of Breaking In
ASU Cybersecurity Symposium - Breaking Into a Career of Breaking In Bishop Fox
 
CactusCon 2018 - Anatomy of an AppSec Program
CactusCon 2018 - Anatomy of an AppSec Program CactusCon 2018 - Anatomy of an AppSec Program
CactusCon 2018 - Anatomy of an AppSec Program Bishop Fox
 
Preparing a Next Generation IT Strategy
Preparing a Next Generation IT StrategyPreparing a Next Generation IT Strategy
Preparing a Next Generation IT StrategyBishop Fox
 
Lord of the Bing: Taking Back Search Engine Hacking From Google and Bing
Lord of the Bing: Taking Back Search Engine Hacking From Google and BingLord of the Bing: Taking Back Search Engine Hacking From Google and Bing
Lord of the Bing: Taking Back Search Engine Hacking From Google and BingBishop Fox
 
Pulp Google Hacking
Pulp Google HackingPulp Google Hacking
Pulp Google HackingBishop Fox
 

More from Bishop Fox (20)

OWASP LA – SharePoint Hacking – 22Feb2012 – Slides.PDF
OWASP LA – SharePoint Hacking – 22Feb2012 – Slides.PDFOWASP LA – SharePoint Hacking – 22Feb2012 – Slides.PDF
OWASP LA – SharePoint Hacking – 22Feb2012 – Slides.PDF
 
InfoSec World 2016 – RFIDiggity – Pentester Guide to Hacking HF/NFC and UHF...
	 InfoSec World 2016 – RFIDiggity – Pentester Guide to Hacking HF/NFC and UHF...	 InfoSec World 2016 – RFIDiggity – Pentester Guide to Hacking HF/NFC and UHF...
InfoSec World 2016 – RFIDiggity – Pentester Guide to Hacking HF/NFC and UHF...
 
InfoSec World 2013 – W4 – Using Google to Find Vulnerabilities in Your IT Env...
InfoSec World 2013 – W4 – Using Google to Find Vulnerabilities in Your IT Env...InfoSec World 2013 – W4 – Using Google to Find Vulnerabilities in Your IT Env...
InfoSec World 2013 – W4 – Using Google to Find Vulnerabilities in Your IT Env...
 
DEFCON 20 (2012) – Tenacious Diggity – 29July2012 – Slides.PDF
DEFCON 20 (2012) – Tenacious Diggity – 29July2012 – Slides.PDFDEFCON 20 (2012) – Tenacious Diggity – 29July2012 – Slides.PDF
DEFCON 20 (2012) – Tenacious Diggity – 29July2012 – Slides.PDF
 
SpellCheckV2 Rules
SpellCheckV2 RulesSpellCheckV2 Rules
SpellCheckV2 Rules
 
Smarter Home Invasion With ZigDiggity
Smarter Home Invasion With ZigDiggitySmarter Home Invasion With ZigDiggity
Smarter Home Invasion With ZigDiggity
 
Hacking Exposed EBS Volumes
Hacking Exposed EBS Volumes Hacking Exposed EBS Volumes
Hacking Exposed EBS Volumes
 
Ghost in the Browser: Broad-Scale Espionage with Bitsquatting
 Ghost in the Browser: Broad-Scale Espionage with Bitsquatting Ghost in the Browser: Broad-Scale Espionage with Bitsquatting
Ghost in the Browser: Broad-Scale Espionage with Bitsquatting
 
Ferris Bueller’s Guide to Abuse Domain Permutations
Ferris Bueller’s Guide to Abuse Domain PermutationsFerris Bueller’s Guide to Abuse Domain Permutations
Ferris Bueller’s Guide to Abuse Domain Permutations
 
Check Your Privilege (Escalation)
Check Your Privilege (Escalation) Check Your Privilege (Escalation)
Check Your Privilege (Escalation)
 
Introduction to Linux Privilege Escalation Methods
Introduction to Linux Privilege Escalation MethodsIntroduction to Linux Privilege Escalation Methods
Introduction to Linux Privilege Escalation Methods
 
Penetration Testing Resource Guide
Penetration Testing Resource Guide Penetration Testing Resource Guide
Penetration Testing Resource Guide
 
Network Penetration Testing Toolkit - Nmap, Netcat, and Metasploit Basics
Network Penetration Testing Toolkit - Nmap, Netcat, and Metasploit BasicsNetwork Penetration Testing Toolkit - Nmap, Netcat, and Metasploit Basics
Network Penetration Testing Toolkit - Nmap, Netcat, and Metasploit Basics
 
How Perceptual Analysis Helps Bug Hunters
How Perceptual Analysis Helps Bug HuntersHow Perceptual Analysis Helps Bug Hunters
How Perceptual Analysis Helps Bug Hunters
 
Evolving Cyber Adversary Simulation: How Red Teaming Benefits Organizations
Evolving Cyber Adversary Simulation: How Red Teaming Benefits OrganizationsEvolving Cyber Adversary Simulation: How Red Teaming Benefits Organizations
Evolving Cyber Adversary Simulation: How Red Teaming Benefits Organizations
 
ASU Cybersecurity Symposium - Breaking Into a Career of Breaking In
ASU Cybersecurity Symposium - Breaking Into a Career of Breaking In ASU Cybersecurity Symposium - Breaking Into a Career of Breaking In
ASU Cybersecurity Symposium - Breaking Into a Career of Breaking In
 
CactusCon 2018 - Anatomy of an AppSec Program
CactusCon 2018 - Anatomy of an AppSec Program CactusCon 2018 - Anatomy of an AppSec Program
CactusCon 2018 - Anatomy of an AppSec Program
 
Preparing a Next Generation IT Strategy
Preparing a Next Generation IT StrategyPreparing a Next Generation IT Strategy
Preparing a Next Generation IT Strategy
 
Lord of the Bing: Taking Back Search Engine Hacking From Google and Bing
Lord of the Bing: Taking Back Search Engine Hacking From Google and BingLord of the Bing: Taking Back Search Engine Hacking From Google and Bing
Lord of the Bing: Taking Back Search Engine Hacking From Google and Bing
 
Pulp Google Hacking
Pulp Google HackingPulp Google Hacking
Pulp Google Hacking
 

Recently uploaded

Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...soniya singh
 
Salesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantSalesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantAxelRicardoTrocheRiq
 
The Evolution of Karaoke From Analog to App.pdf
The Evolution of Karaoke From Analog to App.pdfThe Evolution of Karaoke From Analog to App.pdf
The Evolution of Karaoke From Analog to App.pdfPower Karaoke
 
Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024Andreas Granig
 
chapter--4-software-project-planning.ppt
chapter--4-software-project-planning.pptchapter--4-software-project-planning.ppt
chapter--4-software-project-planning.pptkotipi9215
 
React Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief UtamaReact Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief UtamaHanief Utama
 
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...gurkirankumar98700
 
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer DataAdobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer DataBradBedford3
 
Unveiling the Future: Sylius 2.0 New Features
Unveiling the Future: Sylius 2.0 New FeaturesUnveiling the Future: Sylius 2.0 New Features
Unveiling the Future: Sylius 2.0 New FeaturesŁukasz Chruściel
 
Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)OPEN KNOWLEDGE GmbH
 
英国UN学位证,北安普顿大学毕业证书1:1制作
英国UN学位证,北安普顿大学毕业证书1:1制作英国UN学位证,北安普顿大学毕业证书1:1制作
英国UN学位证,北安普顿大学毕业证书1:1制作qr0udbr0
 
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte Germany
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte GermanySuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte Germany
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte GermanyChristoph Pohl
 
Cloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEECloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEEVICTOR MAESTRE RAMIREZ
 
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdfGOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdfAlina Yurenko
 
Cloud Management Software Platforms: OpenStack
Cloud Management Software Platforms: OpenStackCloud Management Software Platforms: OpenStack
Cloud Management Software Platforms: OpenStackVICTOR MAESTRE RAMIREZ
 
Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...OnePlan Solutions
 
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...Christina Lin
 
Alluxio Monthly Webinar | Cloud-Native Model Training on Distributed Data
Alluxio Monthly Webinar | Cloud-Native Model Training on Distributed DataAlluxio Monthly Webinar | Cloud-Native Model Training on Distributed Data
Alluxio Monthly Webinar | Cloud-Native Model Training on Distributed DataAlluxio, Inc.
 
Recruitment Management Software Benefits (Infographic)
Recruitment Management Software Benefits (Infographic)Recruitment Management Software Benefits (Infographic)
Recruitment Management Software Benefits (Infographic)Hr365.us smith
 

Recently uploaded (20)

Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
 
Salesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantSalesforce Certified Field Service Consultant
Salesforce Certified Field Service Consultant
 
The Evolution of Karaoke From Analog to App.pdf
The Evolution of Karaoke From Analog to App.pdfThe Evolution of Karaoke From Analog to App.pdf
The Evolution of Karaoke From Analog to App.pdf
 
Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024Automate your Kamailio Test Calls - Kamailio World 2024
Automate your Kamailio Test Calls - Kamailio World 2024
 
chapter--4-software-project-planning.ppt
chapter--4-software-project-planning.pptchapter--4-software-project-planning.ppt
chapter--4-software-project-planning.ppt
 
React Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief UtamaReact Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief Utama
 
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
 
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer DataAdobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
 
Unveiling the Future: Sylius 2.0 New Features
Unveiling the Future: Sylius 2.0 New FeaturesUnveiling the Future: Sylius 2.0 New Features
Unveiling the Future: Sylius 2.0 New Features
 
Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)
 
英国UN学位证,北安普顿大学毕业证书1:1制作
英国UN学位证,北安普顿大学毕业证书1:1制作英国UN学位证,北安普顿大学毕业证书1:1制作
英国UN学位证,北安普顿大学毕业证书1:1制作
 
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte Germany
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte GermanySuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte Germany
SuccessFactors 1H 2024 Release - Sneak-Peek by Deloitte Germany
 
Cloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEECloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEE
 
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdfGOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
GOING AOT WITH GRAALVM – DEVOXX GREECE.pdf
 
Cloud Management Software Platforms: OpenStack
Cloud Management Software Platforms: OpenStackCloud Management Software Platforms: OpenStack
Cloud Management Software Platforms: OpenStack
 
Hot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort Service
Hot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort ServiceHot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort Service
Hot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort Service
 
Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...
 
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, Pos...
 
Alluxio Monthly Webinar | Cloud-Native Model Training on Distributed Data
Alluxio Monthly Webinar | Cloud-Native Model Training on Distributed DataAlluxio Monthly Webinar | Cloud-Native Model Training on Distributed Data
Alluxio Monthly Webinar | Cloud-Native Model Training on Distributed Data
 
Recruitment Management Software Benefits (Infographic)
Recruitment Management Software Benefits (Infographic)Recruitment Management Software Benefits (Infographic)
Recruitment Management Software Benefits (Infographic)
 

Getting Buzzed on Buzzwords: Using Cloud & Big Data to Pentest at Scale