Home Blog Page 2

android – Google Signal-In Failed with “Entry blocked: Authorization error, Error: Invalid_scope” in Flutter

codesanitize
-
0
android – Google Signal-In Failed with “Entry blocked: Authorization error, Error: Invalid_scope” in Flutter


I am getting an “Entry blocked: Authorization error, Error: Invalid_scope” error when attempting to implement Google Signal-In in my Flutter utility with a number of OAuth scopes.

Error Message

Entry blocked: Authorization error, Error: Invalid_scope

My Setup

Flutter Model: [Your Flutter version]
google_sign_in package deal: [Your package version]
Platform: Android
Goal: Google Calendar, and fundamental profile entry

OAuth Request Particulars
My OAuth request consists of the next parameters:

login_hint=ak**********@gmail.com  
hl=en-IN  
response_type=consent_proof  
android_options=CAMQAQ  
color_scheme=darkish  
client_id=*200-m552****************n15f59*p7****kr*u.apps.googleusercontent.com  
include_granted_scopes=true  
scope=https://www.googleapis.com/auth/userinfo.e-mail   https://www.googleapis.com/auth/calendar https://www.googleapis.com/auth/hold openid   https://www.googleapis.com/auth/userinfo.profile  
flowName=GeneralOAuthFlow

Google Cloud Console Configuration
✅ Created OAuth 2.0 Shopper ID for Android
✅ Added appropriate package deal identify and SHA-1 fingerprint
✅ Enabled Google Calendar API
✅ Enabled Google Maintain API (if accessible)
✅ Added check customers to OAuth consent display screen

Code Implementation

import 'package deal:google_sign_in/google_sign_in.dart';

class GoogleSignInService {
  static remaining GoogleSignIn _googleSignIn = GoogleSignIn(
    scopes: [
      'email',
      'profile',
      'openid',
      'https://www.googleapis.com/auth/calendar',
      'https://www.googleapis.com/auth/keep',
    ],
  );

  static Future signIn() async {
    attempt {
      remaining GoogleSignInAccount? account = await _googleSignIn.signIn();
      return account;
    } catch (error) {
      print('Google Signal-In Error: $error');
      return null;
    }
  }
}

home windows – TCP Packets Despatched from Shopper By no means Arrive at Server

codesanitize
-
0
home windows – TCP Packets Despatched from Shopper By no means Arrive at Server


I am dealing with a networking subject with my MMORPG server setup. The server infrastructure is as follows:

Host: Home windows Server
Server Software program and Companies: Hosted inside a Digital Machine operating Debian
Networking: The VM is bridged/NATed (specify as wanted)

For some accounts, sure packets (e.g., packet 0x09a1, 2 bytes in size) are despatched from the consumer (confirmed by native Wireshark and an exterior library hooked into the consumer), however by no means arrive on the server—Wireshark operating on the Debian VM by no means sees them. For different accounts, the whole lot works tremendous and packets are obtained as anticipated.

Technical Particulars

The problematic packets are clearly seen as despatched in native Wireshark captures.

On the server (Debian VM), those self same packets are fully lacking from the seize when utilizing a problematic account.

When evaluating native vs server captures, I generally discover 4 additional bytes added on the finish of the packet (e.g., f7 38 dc d7), for working accounts.

If I modify to a working account ID, the packets are obtained appropriately, and the additional 4 bytes aren't current.

On the applying facet, the related breakpoint is rarely hit, confirming the packet by no means reaches the server logic.

Different TCP site visitors between consumer and server works usually. Solely sure packets with particular account IDs "disappear."

No particular firewall guidelines or community restrictions are configured for particular accounts or packets.

Extra Evaluation

Cloned VM Works: I made an an identical copy of the Debian VM (identical configuration, identical server software program, identical knowledge) and ran it domestically on my machine. On this setup, the whole lot works completely—even for the problematic accounts, each domestically and for exterior customers connecting from exterior.

SSH Forwarding Works: I additionally examined connecting by way of SSH port forwarding to the stay server. When forwarding the emulator ports by way of SSH, the connection works tremendous for these accounts—the lacking packets arrive as they need to.

Suspect: The difficulty appears remoted to the networking path between the consumer and the Debian VM when operating on the manufacturing Home windows Server host. No OS/software logs report dropped packets or errors.

Has anybody skilled a state of affairs the place TCP packets despatched from the consumer by no means arrive on the server, however just for particular account IDs—and solely on a specific Home windows Server + Debian VM setup? Might this be attributable to deep packet inspection, host firewall, virtualization networking settings, or sure offloading options (TCP Offloading, checksum offload, and many others.) on the Home windows Server host?

Any solutions or diagnostic steps can be extremely appreciated!

Android Builders Weblog: Accelerating growth with month-to-month releases for Android Studio

codesanitize
-
0
Android Builders Weblog: Accelerating growth with month-to-month releases for Android Studio



Android Builders Weblog: Accelerating growth with month-to-month releases for Android Studio

Posted by Xavier Ducrohet – Tech Lead, Android Studio and Adarsh Fernando – Group Product Supervisor, Android Studio

Final yr, we doubled our launch frequency for Android Studio with the introduction of Function Drops, a change designed to deliver you new options and enhancements extra shortly. Immediately, we’re excited to announce the subsequent evolution in our launch schedule: we’re transferring to month-to-month secure releases of Android Studio.

This new cadence means you’ll be capable of get your palms on the newest options and important enhancements, quicker than ever earlier than. This is what you may anticipate: each few months, we’ll introduce a model that accommodates the newest IntelliJ platform model, comparable to Android Studio Narwhal primarily based on IntelliJ 2025.1. You’ll then see Function Drops every month that embody vital bug fixes and new performance you’ll need to check out, till it’s time to launch Android Studio with the subsequent platform model of IntelliJ.

Android Studio Narwhal release cadence 2025

You’ve really already skilled this new launch cadence with Android Studio Narwhal! Within the final Function Drop launch we had been in a position to take options comparable to Agent Mode from Canary to the Steady channel quicker than ever earlier than, making it doable so that you can check out new options, quicker!

Why Month-to-month Releases?

You advised us ready for the subsequent main launch to get a vital bug repair or a quality-of-life enchancment might be irritating. With the transfer to month-to-month releases, we will ship these updates to you with out the lengthy delays. This implies you may have entry to the options you need and the fixes you want, proper once you want them.
It is vital to notice that the Android Emulator and the Android Gradle Plugin will proceed to be up to date individually from Android Studio at a tempo of each two months. And, as at all times, you need not replace these parts to obtain and use the newest secure model of the IDE every month.

Our Dedication to High quality

A quicker launch cadence does not imply a compromise on high quality. In reality, our potential to launch extra continuously is a direct results of our long-term funding in our testing infrastructure. This effort started with Venture Marble, a concerted effort to enhance the standard and testing of Android Studio. Since then, we have been repeatedly enhancing and tooling our testing technique to be extra dependable, and to get suggestions from these checks quicker. Final yr, we reached some extent the place we may confidently double our releases, and now, we’re able to take the subsequent step with month-to-month updates. This implies you’ll see releases 2X extra usually than earlier than!

We’re additionally persevering with to supply early entry to stable-ready releases. Beforehand, we’ve supplied these alternatives first by way of Beta releases. With our investments in detecting and addressing points earlier, we’re in a position to take a launch from Canary immediately into our Launch Candidate (RC) channel with a stable-ready degree of high quality and polish. This provides you an opportunity to check out the newest options and enhancements earlier than they’re launched to the secure channel and to supply us with useful suggestions.

Replace Month-to-month and Assist Us Enhance

We encourage you to replace to the newest secure model of Android Studio every month to reap the benefits of the newest options and enhancements. Your suggestions is important to serving to us make Android Studio one of the best it may be.

This is how one can become involved:

    • Obtain Android Studio Narwhal 3 Function Drop: It’s at present out there within the Canary channel and is the easiest way to get early entry to new options and to supply us with suggestions earlier than a launch is finalized. If you need a extra secure construct, obtain this model as quickly because the Launch Candidate turns into out there.
    • Report a bug: In case you encounter a problem, please tell us by reporting a bug. This helps us to determine and repair points extra shortly.

We’re enthusiastic about this new chapter for Android Studio and we’re assured that it’s going to aid you to construct higher apps, quicker. As at all times, you might be a part of our vibrant Android developer neighborhood on LinkedIn, Medium, YouTube, or X.



AI finds extra breast tumors sooner than conventional double radiologist evaluate – NanoApps Medical – Official web site

codesanitize
-
0
AI finds extra breast tumors sooner than conventional double radiologist evaluate – NanoApps Medical – Official web site


AI is detecting tumors extra usually and earlier within the Dutch breast most cancers screening program. These tumors can then be handled at an earlier stage. This has been demonstrated by researchers led by Radboud college medical middle in a research revealed in The Lancet Digital Well being. The usage of AI may scale back workload and save thousands and thousands of euros yearly.

Earlier analysis in Sweden had already proven that AI detects breast most cancers on mammograms extra steadily than radiologists. Furthermore, AI can scale back the workload for radiologists. Now, it seems that AI may change the second radiologist within the Dutch breast most cancers screening program. This even results in the detection of extra tumors—and at an earlier stage—which later transform clinically vital.

AI is extra prone to be proper

Researchers, led by breast radiologist Ritse Mann of Radboudumc, analyzed 42,000 breast scans. These mammograms have been taken as a part of the Dutch screening program within the Utrecht area.

Historically, two radiologists evaluate these scans, as is normal follow in breast most cancers screening. On this research, the researchers additionally evaluated the scans utilizing AI developed by ScreenPoint Medical. Moreover, they adopted the ladies whose scans have been analyzed for practically 4 and a half years, with a number of scans accessible for a lot of of them.

The research confirmed that one radiologist working with AI detects extra tumors than two radiologists alone. Tumors are additionally recognized earlier when AI is concerned.

“Generally the AI detects a tumor that the radiologists don’t but acknowledge as such. We name this a false optimistic. However usually that tumor seems in a later scan in any case. Due to this fact, the AI was proper earlier,” Ph.D. candidate Suzanne van Winkel explains.

“By the point the radiologist raises the alarm, it usually considerations bigger invasive tumors, which undoubtedly want therapy, as early as attainable.”

Changing the second radiologist

In Sweden, AI is already getting used to research screening mammograms. “They change the second radiologist with AI. Provided that the AI is unsure does a second radiologist step in,” Mann explains.

“We see that radiologists work nicely with AI, which ends up in extra tumors being detected and not using a vital enhance in pointless follow-up checks for ladies.”

The present research reveals that AI can be adequate within the Dutch setting to interchange the second radiologist in screening scan evaluation. This might save a number of million euros per yr. But AI is just not at present getting used within the Netherlands.

“In Sweden, screening is organized regionally, whereas within the Netherlands it’s organized nationally. That makes implementing AI extra logistically difficult right here,” says Mann. “The IT infrastructure within the Netherlands is just not but prepared. That requires funding.”

Extra info: AI detects further clinically related breast cancers as an impartial second reader inside a population-based screening program: a retrospective research, The Lancet Digital Well being (2025).

Supplied by Radboud College

Zimperium’s Full Protection of PhantomCard NFC-Relay Android Malware

codesanitize
-
0
Zimperium’s Full Protection of PhantomCard NFC-Relay Android Malware


ThreatFabric lately revealed PhantomCard, a classy Android banking trojan rising in Brazil that executes NFC relay fraud by intercepting and transmitting delicate card information from victims to cybercriminals. The malware masquerades as a “Proteção Cartões” (“Card Safety”) app hosted on pretend Google Play Retailer pages, full with counterfeit optimistic evaluations to lure unsuspecting victims.

Continue
123...4,319Page 2 of 4,319
© Newspaper WordPress Theme by TagDiv