I am at present studying to work with React Native, and I am somewhat caught on the subject of navigation between pages. Particularly, I am at present determining the “High Tab Navigator”. As you’ll be able to see within the picture, I created 3 navigation gadgets “Statistics”, “Achivements” and “Challenges”, and every of them has corresponding parts. In accordance with my thought, when a consumer enters, for instance, the “Statistics” web page, the appliance ought to show the inscription “Statistics Display”. And by the identical logic, all different pages ought to work. However for some cause, the ‘Statistics’ web page shows the contents of the ‘Challanges’ web page, and the opposite two pages usually are not displayed in any respect. And the strangest factor is that that is solely on IOS, which is the place I am at present working. Only for the sake of an experiment, I ran the identical code, with out the slightest adjustments, on Android and the whole lot works accurately there, as I wished. Inform me, what may this be linked with?
I’ve tried plenty of issues already. Tried utilizing “SafeAreaView”, tried deleting and reinstalling expo, tried reinstalling dependencies, up to date all packages and applied sciences that I used within the venture, modified the telephone variations within the simulator (ranging from iPhone 15 and ending with iPhone 15 Professional Max), even requested ChatGPT to assist, however nonetheless nothing helps.
Simply in case, right here is my ‘TopTap’ file code:
import React from "react";
import { createMaterialTopTabNavigator } from "@react-navigation/material-top-tabs";
import Statistics from "../screens/Statistics"
import Achievements from "../screens/Achievements";
import Challenges from "../screens/Challenges";
import { StyleSheet } from "react-native";
import { SafeAreaView } from "react-native-safe-area-context";
const Tab = createMaterialTopTabNavigator();
const TopTap = () => {
return (
);
};
const kinds = StyleSheet.create({
container: {
flex: 1,
margin: 10,
},
});
export default TopTap;
Within the US, many on the left are utterly turning away from Tesla on account of Elon Musk’s excessive right-wing politics. However there are additionally many Donald Trump supporters who could also be turning to Tesla. In Europe, a big portion of the inhabitants is once more turning towards Tesla on account of Musk’s help for far-right and fascist events in main European nations. Nonetheless, there are clearly additionally supporters of these events there that could be turned on to Tesla from all of it. From what I see and assume, it’s nonetheless a major internet detrimental for Tesla gross sales within the US and Europe, however we’ll see how issues development. Nonetheless, there’s another large market — the second largest for Tesla (solely behind the US). That’s China.
Elon Musk by no means says something detrimental about Xi Jinping or the Communist Celebration of China. He throws round wild assertions about “communists” within the US, however his “love of free speech” goes out the window in terms of China. I ponder why. Nonetheless, as we’ve been saying since Musk tied his future to Trump’s diaper, Tesla faces nice danger in China. One improper step and — growth — you’re the subsequent Jack Ma. Winnie-the-Pooh is censored in China as a result of some individuals thought Xi Jinping regarded like him. (I’ve a tough time understanding the issue there, since Winnie-the-Pooh is so lovable and endearing, however it’s what it’s.) Some have presumed that any affiliation with Donald Trump is certain to chew Musk and Tesla within the a** since Trump is constantly to anti-China. Nevertheless it doesn’t seem to be that has had any notable instant impact. Nonetheless, he may very well be on skinny ice, particularly being attentive to some latest feedback out of China.
“As a profitable businessman, one ought to be embracing 100% of the market: deal with everybody properly, and everybody will probably be good in return. However for those who have a look at it when it comes to voting, then half of voters will probably be pleasant to you and half of them gained’t be. That is the unavoidable danger that’s come after he [Elon Musk] acquired his private glory.”
Or maybe lets say that’s a critique of Musk’s actions. He’s mentioning that Musk has already let private glory do injury to the Tesla model.
By way of the US, whereas Tesla patrons have been Democrats greater than Republicans, I feel the break up will not be as giant as many individuals assume. I do know that, traditionally, the corporate has had lots of patrons from each events. So, even with Trump’s latest endorsement, I feel that Musk’s in-your-face politics has shifted the potential Tesla purchaser pool from a majority of the inhabitants to … effectively, a smaller majority of the inhabitants. After all, a big portion of the inhabitants isn’t going to contemplate a Tesla but for a wide range of causes, however I feel it’s only a portion of Democrat voters who’ve sworn off shopping for a Tesla — maybe round 40% of Democratic voters (I’m most likely being bold there), or round 10% of the general inhabitants (keep in mind, solely about half of the inhabitants votes). Beforehand, I assume a a lot smaller portion of Republican voters (possibly 20%, as a wild guess) had sworn off shopping for a Tesla.
Anyway, as Cui Dongshu mentioned, it’s simply unhealthy enterprise to alienate a big portion of your potential buyer base.
However was Dongshu actually centered on US ramifications and Tesla gross sales? I assume there’s a little bit of a message in right here regarding the Chinese language market. If we’re actually going right into a heated commerce/tariff warfare with China, that’s not going to be widespread with Chinese language leaders, or with Chinese language customers if these Chinese language leaders communicate up about it. Moreover, as I mentioned earlier than, Musk has beforehand made disparaging feedback about supposed “communists” within the Democratic Celebration. I do know it’s one among Musk’s pure skills, however maybe he ought to be cautious about what he says even in a US context about such issues.
And there’s one other matter a reader simply raised. The COVID-19 story will not be over. “Missouri Legal professional Common Andrew Bailey secured a historic $24 billion judgment towards the Chinese language Communist Celebration for unleashing the COVID-19 pandemic — six occasions greater than the earlier largest judgment in Missouri historical past,” Bailey writes. “It is a landmark victory for Missouri and the US within the combat to carry China accountable for unleashing COVID-19 on the world,”mentioned Legal professional Common Bailey. “China refused to point out as much as court docket, however that doesn’t imply they get away with inflicting untold struggling and financial devastation. We intend to gather each penny by seizing Chinese language-owned belongings, together with Missouri farmland.” Musk catapulted into politics in response to COVID-19 lockdowns. Conspiracy theories about China and COVID-19 are considerable on the correct. There’s definitely a chance Musk might wade into this pool. And there may very well be repercussions if he does.
Thus far this yr, Tesla gross sales in China haven’t been good. January plus February gross sales figures have been under January plus February gross sales figures in 2024 — down about 50%. The brand new Tesla Mannequin Y is meant to save lots of the day and enhance gross sales into the stratosphere once more, and preliminary reservation tallies have been huge. However there’s murmuring now that the reservation listing my be thinning a lot quicker than anticipated — that lots of these reservations could get refunded.
I assume that China is a bit just like the US — one large, souring controversy can put a sudden dent in client curiosity in a product. One phrase from Xi Jinping and, effectively, many individuals wouldn’t be caught shopping for a Tesla. Elon Musk should stroll on eggshells right here. However even with out that, Chinese language individuals being attentive to US politics is probably not a fan of Musk’s shut work with Trump. There’s no nation Trump has vilified greater than China. I might suppose that will flip some Chinese language individuals off from automobiles from Trump’s new finest buddy.
And all of that ignores probably the largest elephant within the Chinese language EV market — the short, fixed innovation and rollout of latest EV fashions. You possibly can’t sit for lengthy in any respect in China or your EVs will probably be outdated information.
Most microsegmentation initiatives fail earlier than they even get off the bottom—too complicated, too gradual, too disruptive. However Andelyn Biosciences proved it does not should be that manner.
Microsegmentation: The Lacking Piece in Zero Belief Safety
Safety groups at this time are below fixed strain to defend in opposition to more and more refined cyber threats. Perimeter-based defenses alone can not present adequate safety as attackers shift their focus to lateral motion inside enterprise networks. With over 70% of profitable breaches involving attackers transferring laterally, organizations are rethinking how they safe inner visitors.
Microsegmentation has emerged as a key technique in reaching Zero Belief safety by limiting entry to essential property based mostly on id fairly than community location. Nonetheless, conventional microsegmentation approaches—usually involving VLAN reconfigurations, agent deployments, or complicated firewall guidelines—are usually gradual, operationally disruptive, and tough to scale.
For Andelyn Biosciences, a contract growth and manufacturing group (CDMO) specializing in gene therapies, securing its pharmaceutical analysis and manufacturing environments was a high precedence. However with hundreds of IT, IoT, and OT gadgets working throughout interconnected networks, a traditional segmentation method would have launched unacceptable complexity and downtime.
Initially, Andelyn chosen a community entry management (NAC) answer to deal with these challenges. Nonetheless, after nearly two years into an implementation with excessive operational overhead and an lack of ability to successfully scale segmentation, the safety workforce grew to become pissed off with the dearth of progress. The complexity of agent-based enforcement and guide coverage administration made it tough to adapt the answer to Andelyn’s quickly evolving setting.
In the end, they determined to pivot to Elisity’s identity-based microsegmentation answer, enabling them to quickly implement least-privilege entry insurance policies with out requiring {hardware} modifications or community redesign.
Watch the Digital Case Examine Replay
Hear from Bryan Holmes, VP of Data Expertise at Andelyn Biosciences, and Pete Doolittle, Chief Buyer Officer, Elisity to find how a contemporary method to microsegmentation accelerates Zero Belief adoption from years to weeks.
Bryan shares their journey from preliminary deployment to managing 2,700 lively safety insurance policies—all with out disrupting operations or requiring new {hardware} or community configurations.
Watch Now to Be taught:
Sensible methods for implementing microsegmentation throughout IT and OT environments with out disrupting essential pharmaceutical manufacturing and analysis operations.
How you can speed up Zero Belief initiatives by leveraging identity-based safety insurance policies that defend mental property, guarantee regulatory compliance, and safe scientific trial information.
How you can get real-world insights on scaling from preliminary proof-of-concept to enterprise-wide deployment utilizing automated discovery, the Elisity IdentityGraph™, and dynamic coverage enforcement.
The Problem: Securing a Complicated, Excessive-Stakes Setting
The pharmaceutical business faces distinctive safety challenges. Analysis and manufacturing services home essential mental property and should adjust to strict regulatory necessities, together with NIST 800-207 and IEC 62443. At Andelyn, safety leaders had been more and more involved concerning the dangers posed by a flat community structure, the place customers, gadgets, and workloads shared the identical infrastructure.
Regardless of conventional perimeter defenses, this construction left Andelyn weak to unauthorized entry and lateral motion. The safety workforce confronted a number of key challenges:
Lack of full visibility into all linked gadgets, together with unmanaged IoT and OT property.
The necessity for segmentation with out disrupting operations in extremely delicate analysis environments.
Compliance pressures requiring fine-grained entry controls with out rising administrative overhead.
Bryan Holmes, VP of IT at Andelyn Biosciences, knew that conventional segmentation fashions would not work. Deploying community entry management (NAC) options or rearchitecting VLANs would have required important downtime, impacting essential analysis and manufacturing timelines.
“We wanted a microsegmentation answer that might present speedy visibility, implement granular safety insurance policies, and achieve this with out requiring a large community overhaul,” Holmes defined.
The Elisity Method: Id-Primarily based Segmentation With out Complexity
In contrast to legacy segmentation options, Elisity’s method doesn’t depend on VLANs, firewall guidelines, or agent-based enforcement. As an alternative, it applies identity-based safety insurance policies dynamically, utilizing the prevailing community switching infrastructure to implement least-privilege entry.
On the core of Elisity’s platform is the Elisity IdentityGraph™, which correlates metadata from Lively Listing, endpoint detection and response (EDR) options like CrowdStrike, and CMDB methods to create a real-time map of customers, workloads, and gadgets. This visibility allows organizations to implement insurance policies based mostly on id, habits, and threat—fairly than static community constructs.
For Andelyn, this meant they may obtain full community visibility and implement segmentation in weeks fairly than months or years, with out operational disruption.
Deployment: From Visibility to Coverage Enforcement in Weeks
Andelyn’s segmentation journey started with complete community discovery. Elisity’s platform passively recognized all customers, workloads, and gadgets throughout IT and OT environments, together with beforehand unmanaged property. Inside days, safety groups had a whole stock, enriched with metadata to find out which property had been trusted, unknown, or probably rogue.
Subsequent, Andelyn moved to coverage modeling and simulation, utilizing Elisity’s “no-fear” dynamic coverage creation engine. As an alternative of imposing insurance policies instantly, safety groups simulated segmentation guidelines to make sure they’d not disrupt essential workflows.
As soon as validated, insurance policies had been steadily activated—first in lower-risk environments and later throughout manufacturing methods. As a result of Elisity’s platform doesn’t require reconfiguring community infrastructure, enforcement was seamless.
“We had been in a position to transfer from monitoring mode to full coverage activation in a fraction of the time we anticipated,” Holmes famous. “And we did it with out disrupting analysis or manufacturing operations.”
The Outcomes: Stronger Safety With out Added Complexity
With 2,700 lively safety insurance policies now in place, Andelyn has considerably improved its Zero Belief maturity whereas guaranteeing compliance with business rules.
By making use of identity-based microsegmentation, the corporate has:
Prevented unauthorized lateral motion, decreasing the potential blast radius of a breach.
Protected pharmaceutical analysis information and mental property from insider threats and exterior assaults.
Diminished operational overhead, as segmentation insurance policies are dynamically enforced with out the necessity for fixed guide updates.
Streamlined compliance reporting, aligning with NIST 800-207 and IEC 62443.
In contrast to conventional approaches that depend on static entry lists or require devoted segmentation {hardware}, Elisity’s platform repeatedly adapts as customers, workloads, and gadgets transfer throughout the community. Insurance policies are cloud-managed and dynamically up to date based mostly on real-time insights from the Elisity IdentityGraph™, guaranteeing safety stays efficient at the same time as threats evolve.
The Future: Scaling Microsegmentation Throughout the Enterprise
Following the success of its preliminary deployment, Andelyn is now increasing microsegmentation insurance policies to further websites and use circumstances. The power to implement least-privilege entry dynamically, with out requiring main community modifications, has made Elisity a necessary a part of the corporate’s safety technique.
For different organizations going through comparable challenges, Holmes presents a transparent suggestion:
“Begin with visibility. You may’t defend what you do not see. From there, concentrate on modeling insurance policies earlier than enforcement. The power to simulate insurance policies first was a game-changer for us.”
Microsegmentation is usually seen as a posh, multi-year initiative that requires important funding and operational disruption. Andelyn Biosciences’ case proves in any other case—with the proper method, organizations can obtain Zero Belief segmentation in weeks, not years.
In case your segmentation mission has stalled—or worse, by no means actually began—there’s a greater manner. See how identity-based microsegmentation can speed up Zero Belief in your group. [Request a Demo Here]
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Amazon Internet Providers’ Easy Notification Service (AWS SNS) is a flexible cloud-based pub/sub service that facilitates communication between functions and customers.
Whereas its scalability and integration capabilities make it a robust device for organizations, its misuse by adversaries for malicious functions similar to information exfiltration and phishing has raised important safety issues.
This text delves into the mechanisms by which AWS SNS could be exploited, explores real-world abuse situations, and supplies actionable insights into detection and prevention methods.
By understanding the vulnerabilities inherent in SNS configurations and leveraging sturdy detection methodologies, organizations can mitigate dangers and improve their cloud safety posture.
Understanding AWS SNS: A Double-Edged Sword
AWS Easy Notification Service (SNS) is a cloud-based pub/sub communication service that permits customers to ship notifications to subscribers by way of varied endpoints similar to e-mail, SMS, or cellular push notifications.
It operates on two main workflows: application-to-person (A2P) and application-to-application (A2A).
Whereas A2P workflows are designed to combine seamlessly with AWS providers like Lambda and SQS, in addition they function potential vectors for abuse when misconfigured.
Options similar to filter insurance policies, server-side encryption (SSE), supply retries, and useless letter queues (DLQs) improve the performance of SNS however may also be exploited by adversaries.
The scalability of SNS permits it to deal with large message volumes with out guide intervention, making it cost-effective for organizations.
Nonetheless, this scalability additionally implies that adversaries can leverage the service for large-scale malicious actions similar to phishing campaigns or information exfiltration.
Regardless of its sturdy structure, AWS SNS is prone to abuse as a result of misconfigurations in IAM roles, inadequate monitoring of API actions, and gaps in logging mechanisms.
As an example, adversaries can exploit permissive IAM insurance policies to create subjects, subscribe exterior endpoints, and publish delicate information with out triggering alarms.
The shortage of visibility into sure API actions—similar to failed Publish requests—additional complicates detection efforts.
Whereas this ensures the safety of delicate data similar to Personally Identifiable Info (PII), adversaries can bypass these safeguards by exploiting encryption gaps throughout information transit or leveraging unmonitored endpoints.
Whitebox Testing: Simulating Malicious Habits
Whitebox testing supplies a managed atmosphere to emulate adversarial behaviors and validate detection capabilities.
In contrast to endpoint-based simulations that depend on malware binaries, cloud-focused whitebox testing exploits current API-driven providers by “living-off-the-cloud” methods.
In a current whitebox train, researchers simulated information exfiltration utilizing SNS by creating a subject that served as a proxy for forwarding stolen credentials to exterior endpoints.
This methodology bypassed conventional safety mechanisms similar to community ACLs and demonstrated the convenience with which adversaries might exploit misconfigured infrastructure.
Knowledge Exfiltration Workflow
Adversaries sometimes observe a scientific workflow to exfiltrate delicate information by way of AWS SNS:
Preliminary Entry: Gaining entry into an EC2 occasion by strategies like exploiting susceptible internet functions or utilizing stolen credentials.
Credential Discovery: Figuring out delicate data saved regionally in recordsdata similar to .env or GitHub credential recordsdata.
Subject Creation: Utilizing momentary credentials obtained from IMDSv2 to create an SNS matter.
Subscription Setup: Registering exterior e-mail addresses or cellular numbers as subscribers to the subject.
Knowledge Publishing: Encoding delicate information in Base64 format and publishing it to the subject for distribution.
This workflow highlights the minimal effort required to stage an assault as soon as preliminary entry is achieved.
Visible workflow for information exfiltration by way of AWS SNS
By leveraging native AWS providers like CLI instructions and IAM roles, adversaries can mix their actions into professional site visitors patterns.
Some of the regarding functions of AWS SNS abuse is its use in smishing (SMS phishing) campaigns.
SentinelOne’s analysis uncovered cases the place adversaries employed Python-based instruments like SNS Sender to distribute fraudulent messages at scale utilizing compromised AWS credentials.
These campaigns leveraged authenticated API requests to bypass safeguards and ship phishing messages impersonating trusted entities.
The success of such campaigns hinges on the adversary’s potential to determine production-level messaging permissions inside AWS Finish Person Messaging providers.
This requires regulatory approval for origination identities and service pre-approval for high-volume SMS messaging a hurdle that refined attackers can overcome by compromising accounts with pre-existing permissions.
Whereas the abuse of AWS SNS presents important benefits for adversaries—similar to mixing into professional site visitors and bypassing egress monitoring it additionally poses challenges:
Preliminary Entry: Exploiting vulnerabilities in EC2 cases or buying credentials by social engineering.
Infrastructure Setup: Configuring IAM roles with permissive insurance policies for SNS actions.
Sandbox Restrictions: Overcoming limitations imposed by AWS on new accounts restricted to SMS sandbox mode.
These challenges underscore the significance of proactive safety measures similar to hardening IAM insurance policies and monitoring CloudTrail logs for anomalies.
Detection Methods and Risk Searching
CloudTrail audit logs function an important useful resource for detecting uncommon API actions associated to SNS abuse.
By specializing in assumed roles connected to EC2 cases, safety groups can determine anomalies similar to uncommon matter creation or subscription occasions.
Detection guidelines could be crafted utilizing Elastic’s New Phrases logic to flag first occurrences of suspicious actions:
Subject Creation by Uncommon Person: Figuring out when an assumed position creates an SNS matter unexpectedly.
Subscription with Exterior E-mail: Monitoring subscriptions that specify exterior endpoints.
Message Publishing Spikes: Detecting sudden will increase in direct-to-phone messaging exercise.
Bash command output for credential verify
These guidelines allow organizations to pinpoint potential abuse situations whereas minimizing false positives by contextual evaluation.
Searching Queries
Risk looking queries present deeper insights into potential compromises by parsing CloudTrail logs for particular attributes similar to user-agent strings or request parameters.
For instance:
Uncommon Subject Creation: Aggregating information primarily based on EC2 occasion IDs and areas to determine uncommon exercise.
E-mail Subscriptions: Filtering subscriptions by protocol kind to detect unauthorized exterior endpoints.
Direct Messaging Spikes: Monitoring Publish actions with telephone numbers in request parameters to uncover smishing campaigns.
These queries assist safety groups prioritize investigations primarily based on anomalous indicators whereas refining detection logic over time.
AWS SNS is a robust communication device that gives immense utility for organizations but in addition presents important dangers if left unmonitored or misconfigured.
The analysis outlined above highlights how adversaries can exploit its options for malicious functions similar to information exfiltration and phishing campaigns.
By understanding these vulnerabilities and implementing sturdy detection methods utilizing CloudTrail logs and risk looking queries, organizations can mitigate dangers successfully.
Key suggestions embrace:
Hardening IAM insurance policies with principle-of-least-privilege (PoLP).
Enabling complete logging mechanisms throughout CloudTrail and CloudWatch.
Crafting anomaly-based detection guidelines tailor-made to organizational contexts.
Conducting common whitebox testing workouts to validate safety controls.
As cloud environments proceed to evolve, staying proactive in monitoring rising threats shall be essential for sustaining sturdy safety postures in opposition to adversarial abuse of providers like AWS SNS.
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Roads Minister Lilian Greenwood addressed the ZEHID progress summit in London on 6 March.
Plans for 54 new charging hubs to energy zero emission lorries have been introduced.
The Zero Emission HGV and Infrastructure Demonstrations (ZEHID) programme, delivered by Innovate UK in partnership with the Division of Transport, is deploying a whole bunch of zero-emission HGVs alongside a community of latest charging and fuelling stations in a bid to remodel the UK’s freight trade.
Over 400 companies met on the ZEHID progress summit in London on Thursday 6 March the place Roads Minister, Lilian Greenwood MP, delivered a keynote deal with asserting the areas of 54 new HGV charging hubs, considered as a pivotal step in accelerating the adoption of inexperienced transport options.
Talking on the summit, Greenwood stated: “That is greater than a handful of web sites – it’s a nationwide community. We’re making certain that zero emission freight isn’t simply doable – it’s sensible.”
The brand new infrastructure will span the size and breadth of the UK, enabling eHGV charging and hydrogen refuelling. The community of hubs shall be built-in into the street transport system with handy areas at depots, motorway companies, and arterial roads throughout the entire of the nation.
A map displaying the deliberate areas has additionally been revealed.
Persevering with in her speech, Greenwood commented that for operators, it’s about constructing certainty in funding: “It means figuring out that after they put money into zero emission HGVs, the infrastructure shall be there to assist them. And as extra websites come on-line, that certainty will solely develop – making it simpler and simpler for companies to make the swap.”
Every of the hubs is being led by one of many 4 flagship mission partnerships which kind the Zero Emission HGV and infrastructure programme: eFREIGHT2030, Undertaking Electrical Freightway, ZENFreight, and HyHAUL
Simon Buckley, Information Switch Supervisor for Zero Emission Mobility at Innovate UK stated: “The announcement of 54 new HGV charging hubs marks a transformative second for the UK’s freight trade.
“By strategically inserting these hubs throughout the nation, we’re addressing one of many largest obstacles to zero emission HGV adoption; dependable infrastructure. This programme not solely accelerates the transition to cleaner transport but in addition strengthens provide chain resilience, making certain companies can transfer items sustainably with out compromising effectivity.”
