#FactCheck - Misleading Video Allegedly Depicting Trampling of Indian Tri-colour in Kerala or Tamil Nadu Circulates on Social Media

Introduction

Deepfakes are artificial intelligence (AI) technology that employs deep learning to generate realistic-looking but phoney films or images. Algorithms use large volumes of data to analyse and discover patterns in order to provide compelling and realistic results. Deepfakes use this technology to modify movies or photos to make them appear as if they involve events or persons that never happened or existed.The procedure begins with gathering large volumes of visual and auditory data about the target individual, which is usually obtained from publicly accessible sources such as social media or public appearances. This data is then utilised for training a deep-learning model to resemble the target of deep fakes.

Recent Cases of Deepfakes-‍

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In an unusual turn of events, a man from northern China became the victim of a sophisticated deep fake technology. This incident has heightened concerns about using artificial intelligence (AI) tools to aid financial crimes, putting authorities and the general public on high alert.
During a video conversation, a scammer successfully impersonated the victim’s close friend using AI-powered face-swapping technology. The scammer duped the unwary victim into transferring 4.3 million yuan (nearly Rs 5 crore). The fraud occurred in Baotou, China.

AI ‘deep fakes’ of innocent images fuel spike in sextortion scams
Artificial intelligence-generated “deepfakes” are fuelling sextortion frauds like a dry brush in a raging wildfire. According to the FBI, the number of nationally reported sextortion instances came to 322% between February 2022 and February 2023, with a notable spike since April due to AI-doctored photographs. And as per the FBI, innocent photographs or videos posted on social media or sent in communications can be distorted into sexually explicit, AI-generated visuals that are “true-to-life” and practically hard to distinguish. According to the FBI, predators often located in other countries use doctored AI photographs against juveniles to compel money from them or their families or to obtain actual sexually graphic images.

Deepfake Applications

• Lensa AI.
• Deepfakes Web.
• Reface.
• MyHeritage.
• DeepFaceLab.
• Deep Art.
• Face Swap Live.
• FaceApp.

Deepfake examples

There are numerous high-profile Deepfake examples available. Deepfake films include one released by actor Jordan Peele, who used actual footage of Barack Obama and his own imitation of Obama to convey a warning about Deepfake videos.
A video shows Facebook CEO Mark Zuckerberg discussing how Facebook ‘controls the future’ with stolen user data, most notably on Instagram. The original video is from a speech he delivered on Russian election meddling; only 21 seconds of that address were used to create the new version. However, the vocal impersonation fell short of Jordan Peele’s Obama and revealed the truth.

The dark side of AI-Generated Misinformation

• Misinformation generated by AI-generated the truth, making it difficult to distinguish fact from fiction.
• People can unmask AI content by looking for discrepancies and lacking the human touch.
• AI content detection technologies can detect and neutralise disinformation, preventing it from spreading.

Safeguards against Deepfakes-

Technology is not the only way to guard against Deepfake videos. Good fundamental security methods are incredibly effective for combating Deepfake.For example, incorporating automatic checks into any mechanism for disbursing payments might have prevented numerous Deepfake and related frauds. You might also:

• Regular backups safeguard your data from ransomware and allow you to restore damaged data.
• Using different, strong passwords for different accounts ensures that just because one network or service has been compromised, it does not imply that others have been compromised as well. You do not want someone to be able to access your other accounts if they get into your Facebook account.
• To secure your home network, laptop, and smartphone against cyber dangers, use a good security package such as Kaspersky Total Security. This bundle includes anti-virus software, a VPN to prevent compromised Wi-Fi connections, and webcam security.

What is the future of Deepfake –

Deepfake is constantly growing. Deepfake films were easy to spot two years ago because of the clumsy movement and the fact that the simulated figure never looked to blink. However, the most recent generation of bogus videos has evolved and adapted.
There are currently approximately 15,000 Deepfake videos available online. Some are just for fun, while others attempt to sway your opinion. But now that it only takes a day or two to make a new Deepfake, that number could rise rapidly.

Conclusion-

The distinction between authentic and fake content will undoubtedly become more challenging to identify as technology advances. As a result, experts feel it should not be up to individuals to discover deep fakes in the wild. “The responsibility should be on the developers, toolmakers, and tech companies to create invisible watermarks and signal what the source of that image is,” they stated. Several startups are also working on approaches for detecting deep fakes.

Introduction

Rajeev Chandrasekhar, Minister of State at the Ministry of Electronics and Information Technology, has emphasised the need for an open internet. He stated that no platform can deny content creators access to distribute and monetise content and that large technology companies have begun to play a significant role in the digital evolution. Chandrasekhar emphasised that the government does not want the internet or monetisation to be in the purview of just one or two companies and does not want 120 crore Indians on the internet in 2025 to be catered to by big islands on the internet.

The Voice for Open Internet 

India's Minister of State for IT, Rajeev Chandrasekhar, has stated that no technology company or social media platform can deny content creators access to distribute and monetise their content. Speaking at the Digital News Publishers Association Conference in Delhi, Chandrasekhar emphasized that the government does not want the internet or monetization of the internet to be in the hands of just one or two companies. He argued that the government does not like monopoly or duopoly and does not want 120 crore Indians on the Internet in 2025 to be catered to by big islands on the internet.

Chandrasekhar highlighted that large technology companies have begun to exert influence when it comes to the dissemination of content, which has become an area of concern for publishers and content creators. He stated that if any platform finds it necessary to block any content, they need to give reasons or grounds to the creators, stating that the content is violating norms.

As India tries to establish itself as an innovator in the technology sector, a recent corpus of Rs 1 lakh crore was announced by the government in the interim Budget of 2024-25. As big companies continue to tighten their stronghold on the sector, content moderation has become crucial. Under the IT Rules Act, 11 types of categories are unlawful under IT Act and criminal law. Platforms must ensure no user posts content that falls under these categories, take down any such content, and gateway users to either de-platforming or prosecuting. Chandrasekhar believes that the government has to protect the fundamental rights of people and emphasises legislative guardrails to ensure platforms are accountable for the correctness of the content.

Monetizing Content on the Platform

No platform can deny a content creator access to the platform to distribute and monetise it,' Chandrasekhar declared, boldly laying down a gauntlet that defies the prevailing norms. This tenet signals a nascent dawn where creators may envision reaping the rewards borne of their creative endeavours unfettered by platform restrictions.

An increasingly contentious issue that shadows this debate is the moderation of content within the digital realm. In this vast uncharted expanse, the powers that be within these monolithic platforms assume the mantle of vigilance—policing the digital avenues for transgressions against a conscribed code of conduct. Under the stipulations of India's IT Rules Act, for example, platforms are duty-bound to interdict user content that strays into territories encompassing a spectrum of 11 delineated unlawful categories. Violations span the gamut from the infringement of intellectual property rights to the propagation of misinformation—each category necessitating swift and decisive intervention. He raised the alarm against misinformation—a malignant growth fed by the fertile soils of innovation—a phenomenon wherein media reports chillingly suggest that up to half of the information circulating on the internet might be a mere fabrication, a misleading simulacrum of authenticity.

The government's stance, as expounded by Chandrasekhar, pivots on an axis of safeguarding citizens' fundamental rights, compelling digital platforms to shoulder the responsibility of arbiters of truth. 'We are a nation of over 90 crores today, a nation progressing with vigour, yet we find ourselves beset by those who wish us ill,' 

Upcoming Digital India Act

Awaiting upon the horizon, India's proposed Digital India Act (DIA), still in its embryonic stage of pre-consultation deliberation, seeks to sculpt these asymmetries into a more balanced form. Chandrasekhar hinted at the potential inclusion within the DIA of regulatory measures that would sculpt the interactions between platforms and the mosaic of content creators who inhabit them. Although specifics await the crucible of public discourse and the formalities of consultation, indications of a maturing framework are palpable.

Conclusion 

It is essential that the fable of digital transformation reverberates with the voices of individual creators, the very lifeblood propelling the vibrant heartbeat of the internet's culture. These are the voices that must echo at the centre stage of policy deliberations and legislative assembly halls; these are the visions that must guide us, and these are the rights that we must uphold. As we stand upon the precipice of a nascent digital age, the decisions we forge at this moment will cascade into the morrow and define the internet of our future. This internet must eternally stand as a bastion of freedom, of ceaseless innovation and as a realm of boundless opportunity for every soul that ventures into its infinite expanse with responsible use. 

References 

• https://www.financialexpress.com/business/brandwagon-no-platform-can-deny-a-content-creator-access-to-distribute-and-monetise-content-says-mos-it-rajeev-chandrasekhar-3386388/
• https://indianexpress.com/article/india/meta-content-monetisation-social-media-it-rules-rajeev-chandrasekhar-9147334/
• https://www.medianama.com/2024/02/223-rajeev-chandrasekhar-content-creators-publishers/

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Executive Summary:

BrazenBamboo’s DEEPDATA malware represents a new wave of advanced cyber espionage tools, exploiting a zero-day vulnerability in Fortinet FortiClient to extract VPN credentials and sensitive data through fileless malware techniques and secure C2 communications. With its modular design, DEEPDATA targets browsers, messaging apps, and password stores, while leveraging reflective DLL injection and encrypted DNS to evade detection. Cross-platform compatibility with tools like DEEPPOST and LightSpy highlights a coordinated development effort, enhancing its espionage capabilities. To mitigate such threats, organizations must enforce network segmentation, deploy advanced monitoring tools, patch vulnerabilities promptly, and implement robust endpoint protection. Vendors are urged to adopt security-by-design practices and incentivize vulnerability reporting, as vigilance and proactive planning are critical to combating this sophisticated threat landscape.

Introduction

The increased use of zero-day vulnerabilities by more complex threat actors reinforces the importance of more developed countermeasures. One of the threat actors identified is BrazenBamboo uses a zero-day vulnerability in Fortinet FortiClient for Windows through the DEEPDATA advanced malware framework. This research explores technical details about DEEPDATA, the tricks used in its operations, and its other effects.

Technical Findings

1. Vulnerability Exploitation Mechanism

The vulnerability in Fortinet’s FortiClient lies in its failure to securely handle sensitive information in memory. DEEPDATA capitalises on this flaw via a specialised plugin, which:

• Accesses the VPN client’s process memory.
• Extracts unencrypted VPN credentials from memory, bypassing typical security protections.
• Transfers credentials to a remote C2 server via encrypted communication channels.

2. Modular Architecture

DEEPDATA exhibits a highly modular design, with its core components comprising:

• Loader Module (data.dll): Decrypts and executes other payloads.
• Orchestrator Module (frame.dll): Manages the execution of multiple plugins.
• FortiClient Plugin: Specifically designed to target Fortinet’s VPN client.

Each plugin operates independently, allowing flexibility in attack strategies depending on the target system.

3. Command-and-Control (C2) Communication

DEEPDATA establishes secure channels to its C2 infrastructure using WebSocket and HTTPS protocols, enabling stealthy exfiltration of harvested data. Technical analysis of network traffic revealed:

• Dynamic IP switching for C2 servers to evade detection.
• Use of Domain Fronting, hiding C2 communication within legitimate HTTPS traffic.
• Time-based communication intervals to minimise anomalies in network behavior.

4. Advanced Credential Harvesting Techniques

Beyond VPN credentials, DEEPDATA is capable of:

• Dumping password stores from popular browsers, such as Chrome, Firefox, and Edge.
• Extracting application-level credentials from messaging apps like WhatsApp, Telegram, and Skype.
• Intercepting credentials stored in local databases used by apps like KeePass and Microsoft Outlook.

5. Persistence Mechanisms

To maintain long-term access, DEEPDATA employs sophisticated persistence techniques:

• Registry-based persistence: Modifies Windows registry keys to reload itself upon system reboot.
• DLL Hijacking: Substitutes legitimate DLLs with malicious ones to execute during normal application operations.
• Scheduled Tasks and Services: Configures scheduled tasks to periodically execute the malware, ensuring continuous operation even if detected and partially removed.

Additional Tools in BrazenBamboo’s Arsenal

1. DEEPPOST

A complementary tool used for data exfiltration, DEEPPOST facilitates the transfer of sensitive files, including system logs, captured credentials, and recorded user activities, to remote endpoints.

2. LightSpy Variants

• The Windows variant includes a lightweight installer that downloads orchestrators and plugins, expanding espionage capabilities across platforms.
• Shellcode-based execution ensures that LightSpy’s payload operates entirely in memory, minimising artifacts on the disk.

3. Cross-Platform Overlaps

BrazenBamboo’s shared codebase across DEEPDATA, DEEPPOST, and LightSpy points to a centralised development effort, possibly linked to a Digital Quartermaster framework. This shared ecosystem enhances their ability to operate efficiently across macOS, iOS, and Windows systems.

Notable Attack Techniques

1. Memory Injection and Data Extraction

Using Reflective DLL Injection, DEEPDATA injects itself into legitimate processes, avoiding detection by traditional antivirus solutions.

• Memory Scraping: Captures credentials and sensitive information in real-time.
• Volatile Data Extraction: Extracts transient data that only exists in memory during specific application states.

2. Fileless Malware Techniques

DEEPDATA leverages fileless infection methods, where its payload operates exclusively in memory, leaving minimal traces on the system. This complicates post-incident forensic investigations.

3. Network Layer Evasion

By utilising encrypted DNS queries and certificate pinning, DEEPDATA ensures that network-level defenses like intrusion detection systems (IDS) and firewalls are ineffective in blocking its communications.

Recommendations

1. For Organisations

• Apply Network Segmentation: Isolate VPN servers from critical assets.
• Enhance Monitoring Tools: Deploy behavioral analysis tools that detect anomalous processes and memory scraping activities.
• Regularly Update and Patch Software: Although Fortinet has yet to patch this vulnerability, organisations must remain vigilant and apply fixes as soon as they are released.

2. For Security Teams

• Harden Endpoint Protections: Implement tools like Memory Integrity Protection to prevent unauthorised memory access.
• Use Network Sandboxing: Monitor and analyse outgoing network traffic for unusual behaviors.
• Threat Hunting: Proactively search for indicators of compromise (IOCs) such as unauthorised DLLs (data.dll, frame.dll) or C2 communications over non-standard intervals.

3. For Vendors

• Implement Security by Design: Adopt advanced memory protection mechanisms to prevent credential leakage.
• Bug Bounty Programs: Encourage researchers to report vulnerabilities, accelerating patch development.

Conclusion

DEEPDATA is a form of cyber espionage and represents the next generation of tools that are more advanced and tunned for stealth, modularity and persistence. While Brazen Bamboo is in the process of fine-tuning its strategies, the organisations and vendors have to be more careful and be ready to respond to these tricks. The continuous updating, the ability to detect the threats and a proper plan on how to deal with incidents are crucial in combating the attacks.

References:

1. https://thehackernews.com/2024/11/warning-deepdata-malware-exploiting.html‍
2. http://www.theregister.com/2024/11/19/china_brazenbamboo_fortinet_0day/