#FactCheck: Viral video claims Ahmedabad plane crash but actually a Hollywood Movie Clip

Executive Summary:

In the recent advisory the Indian Computer Emergency Response Team (CERT-In) has released a high severity warning in the older versions of the software across Apple devices. This high severity rating is because of the multiple vulnerabilities reported in Apple products which could allow the attacker to unfold the sensitive information, and execute arbitrary code on the targeted system. This warning is extremely useful to remind of the necessity to have the software up to date to prevent threats of a cybernature. It is important to update the software to the latest versions and cyber hygiene practices.

Devices Affected:

CERT-In advisory highlights significant risks associated with outdated software on the following Apple devices:

• iPhones and iPads: iOS versions that are below 18 and the 17.7 release.
• Mac Computers: All macOS builds before 14.7 (20G71), 13.7 (20H34), and  earlier 20.2 for Sonoma, Ventura, Sequoia, respectively.
• Apple Watches: watchOS versions prior to 11
• Apple TVs: tvOS versions prior to 18
• Safari Browsers: versions prior to 18
• Xcode: versions prior to 16
• visionOS: versions prior to 2

Details of the Vulnerabilities:

The vulnerabilities discovered in these Apple products could potentially allow attackers to perform the following malicious activities:

1. Access sensitive information: The attackers could easily access the sensitive information stored in other parts of the violated gadgets.
2. Execute arbitrary code: The web page could be compromised with malcode and run on the targeted system which in the worst scenario would give the intruder full Administrator privileges on the device.
3. Bypass security restrictions: Measures agreed to safeguard the device and information contained on it may be easily bypassed and the system left open to more proliferation.
4. Cause denial-of-service (DoS) attacks: The vulnerabilities could be used to cause the targeted device or service to be unavailable to the rightful users.
5. Perform spoofing attacks: There could be a situation where the attackers created fake entities or users or accounts to have a way into important information or do other unauthorized activities.
6. Elevate privileges: It is also stated that weaknesses might be exploited to authorize the attacker a higher level of privileges in the system they are targets.
7. Engage in cross-site scripting (XSS) attacks: Some of them make the associated Web applications/sites prone to XSS attacks by injecting hostile scripts into Web page code.

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Vulnerabilities:

CVE-2023-42824

• Attack vector could allow a local attacker to elevate their privileges and potentially execute arbitrary code.

Affected System

• Apple's iOS and iPadOS software

CVE-2023-42916

• To improve the out of bounds read it was mitigated with improved input validation which was resolved later.

Affected System

• Safari, iOS, iPadOS, macOS, and Apple Watch Series 4 and later devices running watchOS 10.2

CVE-2023-42917

• leads to arbitrary code execution, and there have been reports of it being exploited in earlier versions of iOS.

Affected System

• Apple's Safari browser, iOS, iPadOS, and macOS Sonoma systems

Recommended Actions for Users:

To mitigate these risks, that users take immediate action:

• Update Software: Ensure all your devices are on the most current version of the operating systems they use. Repetitive updates have important security updates that fix identified weaknesses or flaws within the system.
• Monitor Device Activity: Stay vigilant if something doesn’t seem right; if your gadgets are accessed by someone who isn’t you.
• Always use strong, distinct passwords and use two-factor authentication.
• Install and update the antivirus and Firewall softwares.
• Avoid downloading any applications or clicking   link from unknown sources 

Conclusion:

The advisory from CERT-In, clearly demonstrates the fundamental need of keeping the software on all Apple devices up to date. Consumers need to act right away to patch their devices and apply best security measures like using multiple factors for login and system scanning.  This advisory has come out when Apple has just released new products into the market such as the iPhone 16 series in India. When consumers embrace new technologies it is important for them to observe relevant measures of security precautions. Maintaining good cyber hygiene is a critical process for the protection against new threats.

Reference:

• https://www.cert-in.org.in/s2cMainServlet?pageid=PUBVLNOTES02&VLCODE=CIAD-2023-0043
• https://www.cve.org/CVERecord?id=CVE-2023-42916
• https://www.cve.org/CVERecord?id=CVE-2023-42917
• https://www.bizzbuzz.news/technology/gadjets/cert-in-issues-advisory-on-vulnerabilities-affecting-iphones-ipads-and-macs-1337253#google_vignette
• https://www.wionews.com/videos/india-warns-apple-users-of-high-severity-security-risks-in-older-software-761396

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What are Wi-Fi attacks?

Wi-fi is an important area of cyber security and there is no need for physical cable for the network. Wi-Fi has access to a network signal radius everywhere. The devices and systems can have a network without physical access due to Wi-fi. But everything comes with cons and pros, and if we talk about cybersecurity, it has been established that Wi-fi networks are extremely vulnerable to security breaches and it is very easy to be hacked by hackers. Wi-Fi can be accessed by almost every device in the modern day: it can be smartphones, tablets, computers, and laptops. To know whether someone has been tampering with your personal Wi-Fi there are certain signs that can prove it. The first and most important sign is that your internet speed gets slower, as someone else is using your Wi-Fi surf.

Why would anyone hack someone’s Wi-Fi network?

Usually, hackers hack the network because they want access to the confidential data of someone and they can observe all the online activities and data that have been sent through a network. An unauthorize hacker will pretty much be able to see everything you do online. Wi-Fi allows hackers o view information on sites. Any financial information which is saved in the browser can be accessed by hackers and they can alter it and can alter the content you see online. And all the information saved in Wi-fi networks can be used by hackers for their own benefit, they can sell it, impersonate you, or even take money out of your bank through Wi-Fi.

Avoiding vulnerable Wi-Fi networks

The first and foremost rule of protection is that you should not use public networks if that network is easily open to you then that is also available to others and from others, and someone can who wishes to use your confidential and sensitive information, can access that.  If you really need to access the public network in an urgent situation, then you must make sure to limit your activities while connected. And avoid accessing your online banking or pages that require login information. Also, a good measure to take as well is to always delete your cookies after using public WIFI.

How To Secure Your Home Wi-Fi Network

Your home’s wireless internet connection is your Wi-Fi network. Typically, a wireless router is used, which broadcasts a signal into the atmosphere. You can connect to the internet using that signal. However, if your network is not password-protected, any nearby device can grab the signal off the air and connect to your internet. The benefit of Wi-Fi? Wireless access to the internet is possible. The negative? Your internet activity, including your personal information, may be visible to neighboring users who connect to your unprotected network. Furthermore, if someone uses your network to conduct a crime or send out unauthorized spam, you might be held accountable.

Wi-Fi or Li-Fi? –

The common consensus is that Li-Fi technology is more secure than Wi-Fi. Li-Fi systems can be made more secure by integrating a variety of security features. Although these qualities might appear when Li-Fi is widely used in the near future, it is already thought to be safer because of a number of security features. Since the connection’s characteristics make it simpler to lock connections, limit access, and track users even in the absence of encryption and other security features, Li-Fi is seen as being safer. Li-Fi systems will be able to support new security protocols, which will not only enable high-speed networking but also open the door for innovative security techniques to strengthen connections.

Conclusion

A hacker can sniff the network packets without having to be in the same building where the network is located. As wireless networks communicate through radio waves, a hacker can easily sniff the network from a nearby location. Most attackers use network sniffing to find the SSID and hack a wireless network.

Any wireless network can theoretically be attacked in a number of different ways. Use of the default SSID or password, WPS pin authentication, insufficient access control, and leaving the access point available in open locations are all examples of potential vulnerabilities that could allow for the theft of sensitive data. Kismet’s architecture in WIDS mode may guard against DOS, MiTM, and MAC spoofing attacks. routine software updates on the other hand, the use of firewalls may help defend the network against outside intrusion. The act of finding infrastructure issues that could allow harmful code to be injected into a service, system, or organization is known as ethical hacking. They use this technique to prevent invasions by lawfully breaking into networks and looking for weak spots.

Introduction

The Senate bill introduced on 19 March 2024 in the United States would require online platforms to obtain consumer consent before using their data for Artificial Intelligence (AI) model training. If a company fails to obtain this consent, it would be considered a deceptive or unfair practice and result in enforcement action from the Federal Trade Commission (FTC) under the AI consumer opt-in, notification standards, and ethical norms for training (AI Consent) bill. The legislation aims to strengthen consumer protection and give Americans the power to determine how their data is used by online platforms. 

The proposed bill also seeks to create standards for disclosures, including requiring platforms to provide instructions to consumers on how they can affirm or rescind their consent. The option to grant or revoke consent should be made available at any time through an accessible and easily navigable mechanism, and the selection to withhold or reverse consent must be at least as prominent as the option to accept while taking the same number of steps or fewer as the option to accept.

The AI Consent bill directs the FTC to implement regulations to improve transparency by requiring companies to disclose when the data of individuals will be used to train AI and receive consumer opt-in to this use. 
The bill also commissions an FTC report on the technical feasibility of de-identifying data, given the rapid advancements in AI technologies, evaluating potential measures companies could take to effectively de-identify user data.

The definition of ‘Artificial Intelligence System’ under the proposed bill

ARTIFICIALINTELLIGENCE SYSTEM- The term artificial intelligence system“ means a machine-based system that—

1. Is capable of influencing the environment by producing an output, including predictions, recommendations or decisions, for a given set of objectives; and
2. 2. Uses machine or human-based data and inputs to

(i) Perceive real or virtual environments;

(ii) Abstract these perceptions into models through analysis in an automated manner (such as by using machine learning) or manually; and

(iii) Use model inference to formulate options for outcomes.

Importance of the proposed AI Consent Bill USA

1. Consumer Data Protection: The AI Consent bill primarily upholds the privacy rights of an individual. Consent is necessitated from the consumer before data is used for AI Training; the bill aims to empower individuals with unhinged autonomy over the use of personal information. The scope of the bill aligns with the greater objective of data protection laws globally, stressing the criticality of privacy rights and autonomy.

2. Prohibition Measures: The proposed bill intends to prohibit covered entities from exploiting the data of consumers for training purposes without their consent. This prohibition extends to the sale of data, transfer to third parties and usage. Such measures aim to prevent data misuse and exploitation of personal information. The bill aims to ensure companies are leveraged by consumer information for the development of AI without a transparent process of consent.

3. Transparent Consent Procedures: The bill calls for clear and conspicuous disclosures to be provided by the companies for the intended use of consumer data for AI training. The entities must provide a comprehensive explanation of data processing and its implications for consumers. The transparency fostered by the proposed bill allows consumers to make sound decisions about their data and its management, hence nurturing a sense of accountability and trust in data-driven practices.

4. Regulatory Compliance: The bill's guidelines call for strict requirements for procuring the consent of an individual. The entities must follow a prescribed mechanism for content solicitation, making the process streamlined and accessible for consumers. Moreover, the acquisition of content must be independent, i.e. without terms of service and other contractual obligations. These provisions underscore the importance of active and informed consent in data processing activities, reinforcing the principles of data protection and privacy.

5. Enforcement and Oversight: To enforce compliance with the provisions of the bill, robust mechanisms for oversight and enforcement are established. Violations of the prescribed regulations are treated as unfair or deceptive acts under its provisions. Empowering regulatory bodies like the FTC to ensure adherence to data privacy standards. By holding covered entities accountable for compliance, the bill fosters a culture of accountability and responsibility in data handling practices, thereby enhancing consumer trust and confidence in the digital ecosystem.

Importance of Data Anonymization

Data Anonymization is the process of concealing or removing personal or private information from the data set to safeguard the privacy of the individual associated with it. Anonymised data is a sort of information sanitisation in which data anonymisation techniques encrypt or delete personally identifying information from datasets to protect data privacy of the subject. This reduces the danger of unintentional exposure during information transfer across borders and allows for easier assessment and analytics after anonymisation. When personal information is compromised, the organisation suffers not just a security breach but also a breach of confidence from the client or consumer. Such assaults can result in a wide range of privacy infractions, including breach of contract, discrimination, and identity theft.

The AI consent bill asks the FTC to study data de-identification methods. Data anonymisation is critical to improving privacy protection since it reduces the danger of re-identification and unauthorised access to personal information. Regulatory bodies can increase privacy safeguards and reduce privacy risks connected with data processing operations by investigating and perhaps implementing anonymisation procedures.

The AI consent bill emphasises de-identification methods, as well as the DPDP Act 2023 in India, while not specifically talking about data de-identification, but it emphasises the data minimisation principles, which highlights the potential future focus on data anonymisation processes or techniques in India.

Conclusion

The proposed AI Consent bill in the US represents a significant step towards enhancing consumer privacy rights and data protection in the context of AI development. Through its stringent prohibitions, transparent consent procedures, regulatory compliance measures, and robust enforcement mechanisms, the bill strives to strike a balance between fostering innovation in AI technologies while safeguarding the privacy and autonomy of individuals.

References:

• https://fedscoop.com/consumer-data-consent-training-ai-models-senate-bill/#:~:text=%E2%80%9CThe%20AI%20CONSENT%20Act%20gives,Welch%20said%20in%20a%20statement
• https://www.dataguidance.com/news/usa-bill-ai-consent-act-introduced-house#:~:text=USA%3A%20Bill%20for%20the%20AI%20Consent%20Act%20introduced%20to%20House%20of%20Representatives,-ConsentPrivacy%20Law&text=On%20March%2019%2C%202024%2C%20US,the%20U.S.%20House%20of%20Representatives
• https://datenrecht.ch/en/usa-ai-consent-act-vorgeschlagen/
• https://www.lujan.senate.gov/newsroom/press-releases/lujan-welch-introduce-billto-require-online-platforms-receive-consumers-consent-before-using-their-personal-data-to-train-ai-models/

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