1597820400
Thank you for your interest in the new Azure SDKs! We release new features, improvements, and bug fixes every month. Please subscribe to our Azure SDK Blog RSS Feed to get notified when a new release is available.
You can find links to packages, code, and docs on our Azure SDK Releases page.
FieldBuilder
to help easily build a search index from a model type.We are open to Azure SDK blog contributions and invite you to be a guest blogger. Please contact us at azsdkblog@microsoft.com with your topic and we’ll get you setup.
#azure sdk #.net #java #javascript #python #release #sdk #typescript
1624342320
Welcome to the June release of the Azure SDK. We have updated the following libraries:
JsonWebKey
.#azure sdk #azure #azure-sdk #javascript #python #release #sdk
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Since we shipped the first Azure Identity library preview in June 2019, it has been a vital part of building Azure cloud solutions. We have received great feedback from our development community and have added new features and have fixed many bugs. However, most of the changes have been in preview in the past few months. Today, we are proud to share the stable release in .NET, Java, Python, and JavaScript/TypeScript with you. This blog will give you a brief introduction to what we are bringing in this release.
In this release, we have added support for more environments and developer platforms, without compromising the simplicity of the DefaultAzureCredential
class. It’s now easier than ever to authenticate your cloud application on your local workstation, with your choice of IDE or developer tool. When the application is deployed to Azure, you are given more control and insights on how your application is authenticated.
Use the links below to find the August release of each language:
In the Azure Identity November 2019 release, DefaultAzureCredential
supported reading credentials from environment variables, Managed Identity, Windows shared token cache, and interactively in the browser (for .NET & Python), in that order. In this new release, DefaultAzureCredential
is much more powerful, supporting a set of new environments in the following order (a merged list of all languages):
DefaultAzureCredential
will read account information specified via environment variables and use it to authenticate.DefaultAzureCredential
will authenticate with that account.DefaultAzureCredential
will authenticate with that account.DefaultAzureCredential
will authenticate with that account.DefaultAzureCredential
will authenticate with that account.DefaultAzureCredential
will authenticate with that account.az login
command, the DefaultAzureCredential
will authenticate with that account.DefaultAzureCredential
will interactively authenticate the developer via the current system’s default browser.Using the DefaultAzureCredential
remains the same as the previous releases:
// .NET
var client = new SecretClient(new Uri(keyVaultUrl), new DefaultAzureCredential());
// Java
DefaultAzureCredential credential = new DefaultAzureCredentialBuilder().build();
SecretClient secretClient = new SecretClientBuilder()
.vaultUrl(keyVaultUrl)
.credential(credential)
.buildClient();
// JavaScript
const client = new SecretClient(keyVaultUrl, new DefaultAzureCredential());
## Python
client = SecretClient(vault_url, DefaultAzureCredential())
Not only is the DefaultAzureCredential updated to support these environments, you can also pick the specific credential to use. Here are the list of credentials grouped by usage types:
#azure sdk #azure #azuresdk #identity #java #sdk
1594753020
Multiple vulnerabilities in the Citrix Application Delivery Controller (ADC) and Gateway would allow code injection, information disclosure and denial of service, the networking vendor announced Tuesday. Four of the bugs are exploitable by an unauthenticated, remote attacker.
The Citrix products (formerly known as NetScaler ADC and Gateway) are used for application-aware traffic management and secure remote access, respectively, and are installed in at least 80,000 companies in 158 countries, according to a December assessment from Positive Technologies.
Other flaws announced Tuesday also affect Citrix SD-WAN WANOP appliances, models 4000-WO, 4100-WO, 5000-WO and 5100-WO.
Attacks on the management interface of the products could result in system compromise by an unauthenticated user on the management network; or system compromise through cross-site scripting (XSS). Attackers could also create a download link for the device which, if downloaded and then executed by an unauthenticated user on the management network, could result in the compromise of a local computer.
“Customers who have configured their systems in accordance with Citrix recommendations [i.e., to have this interface separated from the network and protected by a firewall] have significantly reduced their risk from attacks to the management interface,” according to the vendor.
Threat actors could also mount attacks on Virtual IPs (VIPs). VIPs, among other things, are used to provide users with a unique IP address for communicating with network resources for applications that do not allow multiple connections or users from the same IP address.
The VIP attacks include denial of service against either the Gateway or Authentication virtual servers by an unauthenticated user; or remote port scanning of the internal network by an authenticated Citrix Gateway user.
“Attackers can only discern whether a TLS connection is possible with the port and cannot communicate further with the end devices,” according to the critical Citrix advisory. “Customers who have not enabled either the Gateway or Authentication virtual servers are not at risk from attacks that are applicable to those servers. Other virtual servers e.g. load balancing and content switching virtual servers are not affected by these issues.”
A final vulnerability has been found in Citrix Gateway Plug-in for Linux that would allow a local logged-on user of a Linux system with that plug-in installed to elevate their privileges to an administrator account on that computer, the company said.
#vulnerabilities #adc #citrix #code injection #critical advisory #cve-2020-8187 #cve-2020-8190 #cve-2020-8191 #cve-2020-8193 #cve-2020-8194 #cve-2020-8195 #cve-2020-8196 #cve-2020-8197 #cve-2020-8198 #cve-2020-8199 #denial of service #gateway #information disclosure #patches #security advisory #security bugs
1597820400
Thank you for your interest in the new Azure SDKs! We release new features, improvements, and bug fixes every month. Please subscribe to our Azure SDK Blog RSS Feed to get notified when a new release is available.
You can find links to packages, code, and docs on our Azure SDK Releases page.
FieldBuilder
to help easily build a search index from a model type.We are open to Azure SDK blog contributions and invite you to be a guest blogger. Please contact us at azsdkblog@microsoft.com with your topic and we’ll get you setup.
#azure sdk #.net #java #javascript #python #release #sdk #typescript
1596986700
This month, we have promoted three of the client libraries to general availability, and expanded our service support to include a preview SDK for our first Cognitive Service: the Azure Text Analytics service.
The new generally available libraries being released this month are:
These are ready to use in your production applications. You can find details of all released libraries on our releases page.
New preview releases:
We believe these are ready for your use, but not yet ready for production. Between now and the GA release, these libraries may undergo API changes. We’d love your feedback! If you use these libraries and like what you see, or you want to see changes, let us know in the GitHub issues for the appropriate language.
Use the links below to get started with your language of choice. You will notice that all the preview libraries are tagged with “preview”.
If you want to dive deep into the content, the release notes linked above and the change logs they point to give more details on what has changed.
The Text Analytics API is part of the Azure Cognitive Services suite of machine learning services that provides advanced natural language processing over raw text. It can be used for sentiment analysis, language detection, key phrase extraction and entity recognition (such as PII).
The new SDK supports all the features of the new v3.0 REST API for Text Analytics. For example, you can detect the language that the text was written in, identify PII (personally identifiable information), extract key phrases, categorize concepts like places and people within the text, link to external sources (like Wikipedia or Bing) for disambiguation, and perform sentiment analysis.
To use the Text Analytics SDK, first create a client. We’ll use C# for this months snippets, although the SDK is also available in Java, Python, and JavaScript / TypeScript. To create a client:
var endpoint = new Uri(myEndpoint);
var client = new TextAnalyticsClient(endpoint, new DefaultAzureCredential());
The DefaultAzureCredentials``()
object will use whatever credentials it can find. If you are running the app on a local development workstation, it will use the user credentials from local development tools like Visual Studio. If you are running the app in the Azure cloud, it will use the connected service principal.
Let’s take a typical string and use the named entities API to obfuscate PII (Personally Identifiable Information) within a hypothetical logging method:
var input = "SSN 555-55-5555, phone: 555-555-5555, some other info";
RecognizePiiEntitiesResult result = client.RecognizePiiEntities(input);
IReadOnlyCollection<NamedEntity> entities = result.NamedEntities;
var output = new StringBuilder(input);
foreach (var entity in entities) {
var newText = new string('*', entity.Length);
output.Replace(entity.Text, newText);
}
Console.WriteLine(output);
The output should be:
SSN ***********, phone: ************, some other info
The PII has been replaced with something innocuous. The SDK has both synchronous and asynchronous methods in all libraries, allowing you the flexibility to build your app in the way that you prefer.
Let’s take a look at another use case – sentiment analysis. Use sentiment analysis to find out what your customers think about the comments that they write in social media or other channels. The API returns a score between 0 and 1 for each document. This time, we will look at a Python example. As before, you need a client reference:
from azure.ai.textanalytics import TextAnalyticsClient
endpoint = os.getenv("AZURE_TEXT_ANALYTICS_ENDPOINT")
api_key = os.getenv("AZURE_TEXT_ANALYTICS_KEY")
client = TextAnalyticsClient(endpoint = self.endpoint, credential=self.api_key)
With a reusable client, you can perform any of the text analytics operations:
docs = [
"This speaker was awesome. The talk was very relevant to my work.",
"How boring! The speaker was monotone and put me to sleep!"
]
api_result = client.analyze_sentiment(docs)
results = [doc for doc in api_result if not doc.is_error]
for idx, s in enumerate(results):
print("Sentiment = {} for doc {}".format(s.sentiment, docs[idx]))
This gives you an idea of how easy sentiment analysis is to implement, but there is much more power there. For example, you can do per-sentence sentiment analysis.
Be sure to check out all the samples for Text Analytics and let us know what you think! You can find samples for .NET, Java, JavaScript / TypeScript, and Python.
So far, the community has filed hundreds of issues against these new SDKs with feedback randing from documentation issues to API surface area change requests to pointing out failure cases. Please keep that coming. We work in the open on GitHub and you can submit issues here:
#azure sdk #releases #azure #python #code #dev