What’s Your New Year's Resolution?

Executive Summary:

Apple has quickly responded to two severe zero-day threats, CVE-2024-44308 and CVE-2024-44309 in iOS, macOS, visionOS, and Safari. These defects, actively used in more focused attacks presumably by state actors, allow for code execution and cross-site scripting (XSS). In a report shared by Google’s Threat Analysis Group, the existing gaps prove that modern attacks are highly developed. Apple’s mitigation comprises memory management, especially state management to strengthen device security. Users are encouraged to update their devices as soon as possible, turn on automatic updates and be careful in the internet space to avoid these new threats.

Introduction

Apple has proved its devotion to the security issue releasing the updates fixing two zero-day bugs actively exploited by hackers. The bugs, with the IDs CVE-2024-44308 and CVE-2024-44309, are dangerous and can lead to code execution and cross-site scripting attacks. The vulnerabilities have been employed in attack and the significance of quick patch release for the safety of the users.

Vulnerabilities in Detail

The discovery of vulnerabilities (CVE-2024-44308, CVE-2024-44309) is credited to Clément Lecigne and Benoît Sevens of Google's Threat Analysis Group (TAG). These vulnerabilities were found in JavaScriptCore and WebKit, integral components of Apple’s web rendering framework. The details of these vulnerabilities are mentioned below:

CVE-2024-44308

• Severity: High (CVSS score: 8.8)
• Description: A flaw in the JavaScriptCore component of WebKit. Malicious web content could cause code to be executed on the target system and make the system vulnerable to the full control of the attacker.
• Technical Finding: This vulnerability involves bad handling of memory in the course of executing JavaScript, allowing the use of injected payloads remotely by the attackers.

CVE-2024-44309

• Severity: Moderate (CVSS score: 6.1)
• Description: A cookie management flaw in WebKit which might result in cross site scripting (XSS). This vulnerability enables the attackers to embed unauthorized scripts into genuine websites and endanger the privacy of users as well as their identities.
• Technical Finding: This issue arises because of wrong handling of cookies at the state level while processing the maliciously crafted web content and provides an unauthorized route to session data.

Affected Systems

These vulnerabilities impact a wide range of Apple devices and software versions:

• iOS 18.1.1 and iPadOS 18.1.1: For devices including iPhone XS and later, iPad Pro (13-inch), and iPad mini 5th generation onwards.
• iOS 17.7.2 and iPadOS 17.7.2: Supports earlier models such as iPad Pro (10.5-inch) and iPad Air 3rd generation.
• macOS Sequoia 15.1.1: Specifically targets systems running macOS Sequoia.
• visionOS 2.1.1: Exclusively for Apple Vision Pro.
• Safari 18.1.1: For Macs running macOS Ventura and Sonoma.

Apple's Mitigation Approach

Apple has implemented the following fixes:

• CVE-2024-44308: Enhanced input validation and robust memory checks to prevent arbitrary code execution.
• CVE-2024-44309: Improved state management to eliminate cookie mismanagement vulnerabilities.

These measures ensure stronger protection against exploitation and bolster the underlying security architecture of affected components.

Broader Implications

The exploitation of these zero-days highlights the evolving nature of threat landscapes:

• Increasing Sophistication: Attackers are refining techniques to target niche vulnerabilities, bypassing traditional defenses.
• Spyware Concerns: These flaws align with the modus operandi of spyware tools, potentially impacting privacy and national security.
• Call for Timely Updates: Users delaying updates inadvertently increase their risk exposure

Technical Recommendations for Users

To mitigate potential risks:

1. Update Devices Promptly: Install the latest patches for iOS, macOS, visionOS, and Safari.
2. Enable Automatic Updates: Ensures timely application of future patches.
3. Restrict WebKit Access: Avoid visiting untrusted websites until updates are installed.
4. Monitor System Behavior: Look for anomalies that could indicate exploitation.

‍

‍

Conclusion

The exploitation of CVE-2024-44308 and CVE-2024-44309 targeting Apple devices highlight the importance of timely software updates to protect users from potential exploitation. The swift action of Apple by providing immediate improved checks, state management and security patches. Users are therefore encouraged to install updates as soon as possible to guard against these zero day flaws.

References:

• https://support.apple.com/en-us/121752
• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2024-44308
• https://securityonline.info/cve-2024-44308-and-cve-2024-44309-apple-addresses-zero-day-vulnerabilities/ 

‍

The European Union (EU) has made trailblazing efforts regarding protection and privacy, coming up with the most comprehensive and detailed regulation called the GDPR (General Data Protection Regulation). As countries worldwide continue to grapple with setting their laws, the EU is already taking on issues with tech giants and focusing on the road ahead. Its contentious issues with Meta and the launch of Meta’s AI assistant in the EU are thus seen as a complex process, shaped by stringent data privacy regulations, ongoing debates over copyright, and ethical AI practices.​ This development is considered important as previously, the EU and Meta have had issues (including fines and and also received a pushback concerning its services), which broadly include data privacy regarding compliance with GDPR, antitrust law concerns- targeting ads, facebook marketplace activities and content moderation with respect to the spread of misinformation. 

Privacy and Data Protection Concerns

A significant part of operating Large Language Models (LLMs) is the need to train them with a repository of data/ plausible answers from which they can source. If it doesn’t find relevant information or the request is out of its scope, programmed to answer, it shall continue to follow orders, but with a reduction in the accuracy of its response. Meta's initial plans to train its AI models using publicly available content from adult users in the EU received a setback from privacy regulators. The Irish Data Protection Commission (DPC), acting as Meta's lead privacy regulator in Europe, raised the issue and requested a delay in the rollout to assess its compliance with GDPR. It has also raised similar concerns with Grok, the AI tool of X, to assess whether the EU users’  data was lawfully processed for training it. 

In response, Meta stalled the release of this feature for around a year and agreed to exclude private messages and data from users under the age of 18 and implemented an opt-out mechanism for users who do not wish their public data to be used for AI training. This approach aligns with GDPR requirements, which mandate a clear legal basis for processing personal data, such as obtaining explicit consent or demonstrating legitimate interest, along with the option of removal of consent at a later stage, as the user wishes. The version/service available at the moment is a text-based assistant which is not capable of things like image generation, but can provide services and assistance which include brainstorming, planning, and answering queries from web-based information. However, Meta has assured its users of expansion and exploration regarding the AI features in the near future as it continues to cooperate with the regulators.

Regulatory Environment and Strategic Decisions

The EU's regulatory landscape, characterised by the GDPR and the forthcoming AI Act, presents challenges for tech companies like Meta. Citing the "unpredictable nature" of EU regulations, Meta has decided not to release its multimodal Llama AI model—capable of processing text, images, audio, and video—in the EU. This decision underscores the tension between innovation and regulatory compliance, as companies navigate the complexities of deploying advanced AI technologies within strict legal frameworks. 

Implications and Future Outlook

Meta's experience highlights the broader challenges faced by AI developers operating in jurisdictions with robust data protection laws. The most critical issue that remains for now is to strike a balance  between  leveraging user data for AI advancement while respecting individual privacy rights.. As the EU continues to refine its regulatory approach to AI, companies need to adapt their strategies to ensure compliance while fostering innovation.​ Stringent measures and regular assessment also keep in check the accountability of big tech companies as they make for profit as well as for the public.

Reference:

• https://thehackernews.com/2025/04/meta-resumes-eu-ai-training-using.html
• https://www.thehindu.com/sci-tech/technology/meta-to-train-ai-models-on-european-users-public-data/article69451271.ece
• https://about.fb.com/news/2025/04/making-ai-work-harder-for-europeans/ 
• https://www.theregister.com/2025/04/15/meta_resume_ai_training_eu_user_posts/ 
• https://noyb.eu/en/twitters-ai-plans-hit-9-more-gdpr-complaints 

• https://www.businesstoday.in/technology/news/story/meta-ai-finally-comes-to-europe-after-a-year-long-delay-but-with-some-limitations-468809-2025-03-21
• https://www.bloomberg.com/news/articles/2025-02-13/meta-opens-facebook-marketplace-to-rivals-in-eu-antitrust-clash
• https://www.nytimes.com/2023/05/22/business/meta-facebook-eu-privacy-fine.html#:~:text=Many%20civil%20society%20groups%20and,million%20for%20a%20data%20leak.
• https://ec.europa.eu/commission/presscorner/detail/en/ip_24_5801
• https://www.thehindu.com/sci-tech/technology/european-union-accuses-facebook-owner-meta-of-breaking-digital-rules-with-paid-ad-free-option/article68358039.ece
• https://www.theregister.com/2025/04/14/ireland_investigation_into_x/ 
• https://www.theverge.com/2024/7/18/24201041/meta-multimodal-llama-ai-model-launch-eu-regulations?utm_source=chatgpt.com
• https://www.axios.com/2024/07/17/meta-future-multimodal-ai-models-eu?utm_source=chatgpt.com 

‍

Introduction:

Digital Forensics, as the term goes, “It is the process of collecting, preserving, identifying, analyzing, and presenting digital evidence in a way that the evidence is legally admitted.”

It is like a detective work in the digital realm, where investigators use various specific methods to find deleted files and to reveal destroyed messages.

The reason why Digital Forensics is an important field is because with the  advancement of technology and the use of digital devices, the role of Digital Forensics in preserving the evidence and protecting our data from cybercrime is becoming more and more crucial.

Digital Forensics is used in various situations such as:

• Criminal Investigations: Digital Forensics enables investigators to trace back cyber threat actors and further identify victims of the crime to  gather evidence needed to punish criminals.

• Legal issues: Digital Forensics might aid in legal  matters involving intellectual property infringement and data breaches etc.

Types of Digital Data in Digital Forensics:

1.Persistent (Non-volatile) Data :-

• This type of Data Remains Intact When The Computer Is Turned Off.
• ex. Hard-disk, Flash-drives

2.  Volatile Data :-

• These types of Data Would Be Lost When The Computer Is Turned Off.
• ex. Temp. Files, Unsaved OpenFiles, etc.

The Digital Forensics Process

The process is as follows

• Evidence Acquisition: This process involves making an exact copy (forensic image) of the storage devices such as hard drives, SSD or mobile devices. The goal is to preserve the original data without changing it.

• Data Recovery: After acquiring the forensic image, the analysts use  tools to recover deleted, hidden or the  encrypted data inside the device . 

• Timeline Analysis: Analysts use timestamp information from files, and system logs to reconstruct the timeline of activities on a device. This helps in understanding how an incident spanned out and who was involved in it.

• Malware Analysis: In cases involving  security breaches, analysts analyze malware samples to understand their behavior, impact, and origins. various reverse engineering techniques are used to analyze the malicious code.

Types of tools:

• Faraday Bags: Faraday bags are generally the first step in digital evidence capture. These bags are generally made of conductive materials, which are used to shield our electronic devices from external waves such as WiFi, Bluetooth, and mobile cellular signals, which in turn protects the digital evidence from external tampering.

• Data recovery : These types of software are generally used for the recovery of deleted files and their associated data.  Ex. Magnet Forensics, Access data, X-Ways

• Disk imaging and analysis :These types of softwares are Generally used to replicate the data storage devices and then perform further analysis on it ex. FTKImager, Autopsy, and, Sleuth Kit

• File carving tools: They are generally used to extract information from the embedded files in the image made. Ex.Foremost, Binwalk, Scalpel

Some common tools:

• EnCase: It is a tool for acquiring, analyzing, and reporting digital evidence.

• Autopsy: It is an open-source platform generally used for analyzing hard drives and smartphones.

• Volatility: It is a framework used generally for memory forensics to analyze volatile memory dumps and extract info.

• Sleuth Kit: It is a package of CLI tools for investigating disk images and its associated file systems.

• Cellebrite UFED: It is a tool generally used for mobile forensics.

Challenges in the Field:

• Encryption: Encryption plays a major challenge as the encrypted data requires specialized techniques and tools for decryption.

• Anti-Forensic Techniques: Anti-Forensics techniques play a major challenge as the criminals often use anti-forensic methods to cover their tracks, making it challenging to get the digital evidence.

• Data Volume and Complexity: The large volume of digital data and the diversity of various devices create challenges in evidence collection and analysis.

The Future of Digital Forensics: A Perspective

‍With the  growth of technology and the vast presence of digital data, the challenges and opportunities in Digital Forensics keep on updating themselves. Due to the onset of new technology and the ever growing  necessity of cloud storage, mobile devices, and the IoT (Internet of Things), investigators will have to develop new strategies and should be ready to adapt and learn from the new shaping of the tech world.

Conclusion:

‍Digital Forensics is an essential field in the recent era for ensuring fairness in the digital era. By collecting, inspecting, and analyzing the digital data, the Digital Forensics investigators can arrive lawfully at  the prosecution of criminals and the settlement of civil disputes. Nowadays with technology on one hand progressing continuously, the discipline of Digital Forensics will certainly become even more pivotal in the case of investigations in the years to come.