Race Tests 001 Mac OS
Race Tests 001 Mac OS
- Race Tests 001 Mac Os Catalina
- Race Tests 001 Mac Os Sierra
- Race Tests 001 Mac Os Version
- Race Tests 001 Mac Os Download
- Race Tests 001 Mac Os Version
Of 17,495 patients, 11,680 underwent esophagectomy and 5815 received chemoradiation. Survival after esophagectomy worsened with increasing age and decreased considerably after age 73 (hazard ratio = 1.05, 95% confidence interval, 1.04-1.06, per increasing year after 73 versus hazard ratio = 1.01, 95% confidence interval, 1.00-1.01, per increasing year to 73; both P 001). T1490 Inhibit System Recovery CONTRIBUTE A TEST; T1491.001 Internal Defacement CONTRIBUTE A TEST; T1498 Network Denial of Service CONTRIBUTE A TEST; T1499.001 OS Exhaustion Flood CONTRIBUTE A TEST; T1498.002 Reflection Amplification CONTRIBUTE A TEST; T1496 Resource Hijacking. Atomic Test #1: macOS/Linux - Simulate CPU Load with Yes macos, linux. Apr 14, 2021 Existing tests and real-world applications sufficed. These included: JDK jtreg regression tests, JCK Tests, Java 2D and Swing Demos, and; IDEs such as Intellij IDEA and Netbeans, as examples of large-scale real world applications. To test performance, we used: J2DBench, a Java 2D benchmarking application included in JDK. Mac App Store is the simplest way to find and download apps for your Mac. To download apps from the Mac App Store, you need a Mac with OS X 10.6.6 or later.
According to the General Terms and Conditions for SAP Cloud Services it is prohibited to perform any action on the cloud service which circumvent or endanger its operation or security.
Please note, this load test might have a serious affect on private instances as well as on shared instances where the SAP Analytics Cloud tenant resides with multiple customer tenants on same instance. This is important because services being used on a certain system are shared among other customers. Due to that reason performing the below steps is only allowed on private SAP Analytics Cloud tenant.
- When in doubt, reach out to your Account Team (Account Executive) in order to clarify whether you are allowed to do the stress test or not.
In order to narrow down a certain performance issue to understand the root cause the below load test might help to diagnose the Live Data Connection flows. A stress test might create a load, that the system is not able to cope with anymore however this is not an overall stress test to explore system limits and so on. Please keep in mind to perform the below test carefully with low amount of requests per minute so that it will not be considered as a DoS-attack.
- As this is considered as a support operation please notify SAP (through your Account Team) at least 15 business days in advance the test so we can monitor the systems to avoid any outage.
I often get requests from customers for stressing SAP Analytics Cloud story based on Live Connections. For some of our customers, I had the opportunity to design simple stress tests to load network configuration and especially Live Connection performance.
Such test only intends to check if lack of performance is due to Network issue between Business User workstation and backend datasources.
It has also been the opportunity to deeply understand how authentication and Live Connection work in SAP Analytics Cloud.
I could have used some other stress test tools to load and test functional behaviour and get measures (ie. Loadrunner). I only need to stress from a Business User Perspective and not in the perspective of large deployment which requires a real large scale test load.
I used jMeter which is an open source software, 100% pure Java application designed to test performance and simulate virtual Users.
It was originally designed for testing Web Applications but has since expanded to other test functions.
This software can be installed on any server or workstation to quickly design load test script.
Apache JMeter may be used to test performance both on static and dynamic resources, Web dynamic applications.
It can be used to simulate a heavy load on a server, group of servers, network or object to test its strength or to analyze overall performance under different load types.
JMeter does not run Javascript. So test script has to manage by itself all redirections based on SSO sequences and User scenario Sequences.
We do not want to test workstation but Network, backend and live connection performances.
This document intends to share my experience designing jMeter test script in this context.
My first activity has been to identify the best scenario and best stories to test. With customer we decided to test the following :
- User Authentication thru SAML2/SSO with custom Identity Provider (SAP Cloud Platform Identity Authentication Services)
- SSO with SAP Analytics Cloud
- SSO with SAP NetWeaver BW
- One SAP Analytics Cloud story with two models and two BW Live Connections Queries.
User Authentication Scenario (SAP Analytics Cloud and SAP Netweaver BW thru Live Connection)
The following diagram describes the Authentication Scenario based on SAML 2 SSO. It is composed by 4 main components :
- Browser: jMeter simulates Browser (Except Javascript execution which is not supported by jMeter).
- Identity Provider: support SAML2 Identity Federation and Authentication services. I use SAP Cloud Platform Authentication Services
- SAP Analytics Cloud as Service Provider
- SAP Analytics Cloud Tenant URL
- SAP Analytics Cloud SAML 2 endpoint
- SAP NetWeaver BW as Service Provider
- SAP NetWeaver INA protocole endpoint
- SAP NetWeaver SAML 2 endpoint
SAP NetWeaver BW Live Connection Scenario
- SAP NetWeaver BW Live Connection is based on CORS.
- Our story contains two charts with two different queries. In browser, Queries are asynchronous and runs in parallel.
Unfortunately, with jMeter queries run sequentially.
GetResponse request URL are dynamically composed by dynamic session ID. This dynamic session ID avoids any Denied of Service detection if your have a high number of GetResponse queries in the same story. So it is mandatory to extract sap-url-session-id from Response Header in step 2 above, to compose request URL of step 3,4,5 and 6 as below :
Communication is also protected against Cross Forgery Attack with dynamic CSRF Token. So it is also mandatory to extract x-csrf-token from Response Header in step 2, to be injected in Header of step 4,5 and 6 above.
Obviously, do not forget to set your mysapsso2 string if required (we speak later about it in this document)
Due to jMeter restriction, to design test script you have to understand each step of Identity Federation SAML 2 authentication process explained above.
You can start from scratch by opening a blank test plan or you can start by recording. I recommend recording even if jMeter recording tools does not catch all transactions, but 50% of the job is done.
Nevertheless, recording will give you most of Header description, Query definitions, but you will have to manage by yourself Javascript redirection.
General Settings of test plan
First, at the top of your script insert the following controlers:
- User Defined Variables to record general variables such as SAP Analytics Cloud URL & Path, Identity Provider Hostname and Path, SAP NetWeaver BW hostname and path, mysapsso2 string..., if you want to use your script for other occasions.
- HTTP Request Defaults to record general Header items such as (I am on Mac):
| User-Agent | Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36 |
- HTTP Cookie Manager to enable automatic cookie recording and set Cookies policy (I chose Netscape)
SAP Analytics Cloud Authentication Procedure
Initial SAP Analytics Cloud Tenant Get request Extract required information to redirect to SAML2 SCP tenantId, idpName, requestUrl, ... Use these extracted fields to feed parameters of next transactions: Redirect to auth.hana.ondemand.com SAML2 SCP endpoint Extract SAMLRequest, RelayState Redirect to Identity Provider SAML2 endpoint (SAP CLoud Identity Authentication Service) Extract SAMLResponse, etc. Post User credential to Identity Provider Authentication Service Post SAML2 Response to SAML2 SCP endpoint Post SAML2 Response to SAP Analytics Cloud |
|---|
BW Live Connection Authentication Procedure
Prerequisite : jMeter cannot manage cookies in memory, so to implement test, you have two options to manage mysapsso2 cookie:
- Get mysapsso2 cookie string from Chrome Browser developer view (Recommended) and set a jMeter variable.
- Disable mysapsso2 cookie in Netweaver Instance Profile. To temporary disable mysapsso2 cookie, set login/accept_sso2_ticket to 0 in Instance profile of SAP Netweaver BW.
Initial INA GetServerInfo request User is already authenticated thru SAC, so SAML Response is sent back and is extracted with Boundary Extract and Regex Extract tools. Post SAMLResponse to BW SAML2 endpoint Post SAMLResponse to BW INA endpoint |
|---|
Run BW Live Connection queries based on story
Set Timestamp variable to be used in request GetServerInfo Preflight request (CORS) GetServerinfo Metadata request GestResponse Preflight request (CORS) Post GetResponse to get Metadata Post GetResponse for Query 1: Payload request contains JSON description of query Post GetResponse for Query 2: Payload request contains JSON description of query. I used jMeter recording to get JSON descriptions in Payload request. You can also use Chrome/Developer view to extract JSON definition. |
|---|
Run you test plan
First you have to set Thread properties:
In this example, we simulate 100 users, rampup period will be every 10s and forever.
Sometime number of concurrent users has to be increased in SAP NetWeaver BW in transaction RZ11 on parameter rdisp/max_alt_modes.
and your summary report :
You can also run you test plan by using command line outside jMeter GUI as follow:
The -l option enables recording of all test information in JTL file to be later processed in jMeter/Tools/Generate HTML Report which produces great dashboards as follow:
Thanks you for reading
About Apple security updates
For our customers' protection, Apple doesn't disclose, discuss, or confirm security issues until an investigation has occurred and patches or releases are available. Recent releases are listed on the Apple security updates page.
For more information about security, see the Apple Product Security page. You can encrypt communications with Apple using the Apple Product Security PGP Key.
Apple security documents reference vulnerabilities by CVE-ID when possible.
macOS High Sierra 10.13.3, Security Update 2018-001 Sierra, and Security Update 2018-001 El Capitan
Released January 23, 2018
Audio
Available for: macOS High Sierra 10.13.2, macOS Sierra 10.12.6
Impact: Processing a maliciously crafted audio file may lead to arbitrary code execution
Description: A memory corruption issue was addressed with improved input validation.
CVE-2018-4094: Mingi Cho, Seoyoung Kim, Young-Ho Lee, MinSik Shin and Taekyoung Kwon of the Information Security Lab, Yonsei University
Entry updated November 16, 2018
curl
Available for: macOS High Sierra 10.13.2
Impact: Multiple issues in curl
Description: An integer overflow existed in curl. This issue was addressed with improved bounds checking.
CVE-2017-8816: Alex Nichols
Entry added November 16, 2018
curl
Available for: macOS High Sierra 10.13.2
Impact: Multiple issues in curl
Description: An out-of-bounds read issue existed in the curl. This issue was addressed with improved bounds checking.
CVE-2017-8817: found by OSS-Fuzz
Entry updated November 16, 2018
EFI
Available for: macOS High Sierra 10.13.2, macOS Sierra 10.12.6, OS X El Capitan 10.11.6
Description: Multiple buffer overflows in kernel in Intel Manageability Engine Firmware 11.0/11.5/11.6/11.7/11.10/11.20 allow attacker with local access to the system to execute arbitrary code.
CVE-2017-5705: Mark Ermolov and Maxim Goryachy from Positive Technologies
Entry added January 30, 2018
EFI
Available for: macOS High Sierra 10.13.2, macOS Sierra 10.12.6, OS X El Capitan 10.11.6
Description: Multiple privilege escalations in kernel in Intel Manageability Engine Firmware 11.0/11.5/11.6/11.7/11.10/11.20 allow unauthorized process to access privileged content via unspecified vector.
CVE-2017-5708: Mark Ermolov and Maxim Goryachy from Positive Technologies
Entry added January 30, 2018
IOHIDFamily
Available for: macOS High Sierra 10.13.2, macOS Sierra 10.12.6, OS X El Capitan 10.11.6
Impact: An application may be able to execute arbitrary code with kernel privileges
Description: A memory corruption issue was addressed with improved memory handling.
CVE-2018-4098: Siguza
Kernel
Available for: macOS Sierra 10.12.6, OS X El Capitan 10.11.6
Impact: An application may be able to read kernel memory (Meltdown)
Description: Systems with microprocessors utilizing speculative execution and indirect branch prediction may allow unauthorized disclosure of information to an attacker with local user access via a side-channel analysis of the data cache.
CVE-2017-5754: Jann Horn of Google Project Zero; Moritz Lipp of Graz University of Technology; Michael Schwarz of Graz University of Technology; Daniel Gruss of Graz University of Technology; Thomas Prescher of Cyberus Technology GmbH; Werner Haas of Cyberus Technology GmbH; Stefan Mangard of Graz University of Technology; Paul Kocher; Daniel Genkin of University of Pennsylvania and University of Maryland; Yuval Yarom of University of Adelaide and Data61; and Mike Hamburg of Rambus (Cryptography Research Division)
Kernel
Available for: macOS High Sierra 10.13.2
Impact: An application may be able to read restricted memory
Description: A memory initialization issue was addressed with improved memory handling.
CVE-2018-4090: Jann Horn of Google Project Zero
Entry updated November 16, 2018
Kernel
Available for: macOS High Sierra 10.13.2
Impact: An application may be able to read restricted memory
Description: A race condition was addressed with improved locking.
CVE-2018-4092: Stefan Esser of Antid0te UG
Entry updated February 8, 2018, updated November 16, 2018
Kernel
Available for: macOS High Sierra 10.13.2
Impact: A malicious application may be able to execute arbitrary code with kernel privileges
Description: A memory corruption issue was addressed with improved input validation.
CVE-2018-4082: Russ Cox of Google
Entry updated November 16, 2018
Kernel
Available for: macOS High Sierra 10.13.2, macOS Sierra 10.12.6
Impact: An application may be able to execute arbitrary code with kernel privileges
Description: A logic issue was addressed with improved validation.
CVE-2018-4097: Resecurity, Inc.
Kernel
Available for: macOS High Sierra 10.13.2
Impact: An application may be able to read restricted memory
Description: A validation issue was addressed with improved input sanitization.
CVE-2018-4093: Jann Horn of Google Project Zero
Kernel
Available for: OS X El Capitan 10.11.6, macOS Sierra 10.12.6, macOS High Sierra 10.13.2
Impact: An application may be able to execute arbitrary code with kernel privileges
Description: A memory corruption issue was addressed with improved memory handling.
CVE-2018-4189: an anonymous researcher
Entry added May 2, 2018
Kernel
Available for: macOS High Sierra 10.13.2
Impact: An application may be able to execute arbitrary code with kernel privileges
Description: An out-of-bounds read was addressed with improved input validation.
Race Tests 001 Mac Os Catalina
CVE-2018-4169: an anonymous researcher
Entry added May 2, 2018, updated November 16, 2018
LinkPresentation
Available for: macOS High Sierra 10.13.2, macOS Sierra 10.12.6
Impact: Processing a maliciously crafted text message may lead to application denial of service
Description: A resource exhaustion issue was addressed with improved input validation.
CVE-2018-4100: Abraham Masri @cheesecakeufo
Entry updated November 16, 2018
QuartzCore
Available for: OS X El Capitan 10.11.6, macOS High Sierra 10.13.2, macOS Sierra 10.12.6
Impact: Processing maliciously crafted web content may lead to arbitrary code execution
Description: A memory corruption issue existed in the processing of web content. This issue was addressed with improved input validation.
CVE-2018-4085: Ret2 Systems Inc. working with Trend Micro's Zero Day Initiative
Entry updated November 16, 2018
Remote Management
Available for: macOS Sierra 10.12.6
Impact: A remote user may be able to gain root privileges
Description: A permissions issue existed in Remote Management. This issue was addressed through improved permission validation.
CVE-2018-4298: Tim van der Werff of SupCloud
Entry added July 19, 2018
Sandbox
Available for: macOS High Sierra 10.13.2
Impact: A sandboxed process may be able to circumvent sandbox restrictions
Race Tests 001 Mac Os Sierra
Description: An access issue was addressed with additional sandbox restrictions.
CVE-2018-4091: Alex Gaynor of Mozilla
Entry updated November 16, 2018
Security
Available for: macOS High Sierra 10.13.2, macOS Sierra 10.12.6
Impact: A certificate may have name constraints applied incorrectly
Description: A certificate evaluation issue existed in the handling of name constraints. This issue was addressed with improved trust evaluation of certificates.
CVE-2018-4086: Ian Haken of Netflix
Entry updated November 16, 2018
Security
Available for: macOS High Sierra 10.13.2
Impact: An attacker may be able to bypass administrator authentication without supplying the administrator’s password
Description: A logic error existed in the validation of credentials. This was addressed with improved credential validation.
CVE-2017-13889: Glenn G. Bruckno, P.E. of Automation Engineering, James Barnes, Kevin Manca of Computer Engineering Politecnico di Milano, Rene Malenfant of University of New Brunswick
Entry added June 21, 2018
Touch Bar Support
Available for: macOS High Sierra 10.13.2, macOS Sierra 10.12.6
Impact: A malicious application may be able to execute arbitrary code with system privileges
Description: A memory corruption issue was addressed with improved state management.
CVE-2018-4083: Ian Beer of Google Project Zero
Entry added February 9, 2018
WebKit
Available for: macOS High Sierra 10.13.2
Impact: Processing maliciously crafted web content may lead to arbitrary code execution
Description: Multiple memory corruption issues were addressed with improved memory handling.
CVE-2018-4088: Jeonghoon Shin of Theori
CVE-2018-4089: Ivan Fratric of Google Project Zero
CVE-2018-4096: found by OSS-Fuzz
WebKit
Available for: macOS High Sierra 10.13.2
Impact: Processing maliciously crafted web content may lead to arbitrary code execution
Description: Multiple memory corruption issues were addressed with improved memory handling.
CVE-2018-4147: found by OSS-Fuzz
Entry added October 18, 2018
WebKit Page Loading
Available for: macOS High Sierra 10.13.2
Impact: Processing maliciously crafted web content may lead to arbitrary code execution
Description: Multiple memory corruption issues were addressed with improved memory handling.
CVE-2017-7830: Jun Kokatsu (@shhnjk)
Entry added October 18, 2018
Race Tests 001 Mac Os Version
Wi-Fi
Available for: macOS High Sierra 10.13.2, macOS Sierra 10.12.6, OS X El Capitan 10.11.6
Impact: An application may be able to read restricted memory
Race Tests 001 Mac Os Download
Description: A validation issue was addressed with improved input sanitization.
Race Tests 001 Mac Os Version
CVE-2018-4084: Hyung Sup Lee of Minionz, You Chan Lee of Hanyang University
Race Tests 001 Mac OS