#FactCheck - Viral Claim of Highway in J&K Proven Misleading
Executive Summary:
A viral post on social media shared with misleading captions about a National Highway being built with large bridges over a mountainside in Jammu and Kashmir. However, the investigation of the claim shows that the bridge is from China. Thus the video is false and misleading.

Claim:
A video circulating of National Highway 14 construction being built on the mountain side in Jammu and Kashmir.

Fact Check:
Upon receiving the image, Reverse Image Search was carried out, an image of an under-construction road, falsely linked to Jammu and Kashmir has been proven inaccurate. After investigating we confirmed the road is from a different location that is G6911 Ankang-Laifeng Expressway in China, highlighting the need to verify information before sharing.


Conclusion:
The viral claim mentioning under-construction Highway from Jammu and Kashmir is false. The post is actually from China and not J&K. Misinformation like this can mislead the public. Before sharing viral posts, take a brief moment to verify the facts. This highlights the importance of verifying information and relying on credible sources to combat the spread of false claims.
- Claim: Under-Construction Road Falsely Linked to Jammu and Kashmir
- Claimed On: Instagram and X (Formerly Known As Twitter)
- Fact Check: False and Misleading
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Introduction
A photo circulating on social media depicting modified tractors is being misrepresented as part of the 'Delhi Chalo' farmers' protest narrative. In the recent swirl of misinformation surrounding the 'Delhi Chalo' farmers' protest. A photo, ostensibly showing a phalanx of modified tractors, has been making the rounds on social media platforms, falsely tethered to the ongoing protests. This image, accompanied by a headline suggesting a mechanical metamorphosis to resist police barricades, was allegedly published by a news agency. However, beneath the surface of this viral phenomenon lies a more complex and fabricated reality.
The Movement
The 'Delhi Chalo' movement, a clarion call that resonated with thousands of farmers from the fertile plains of Punjab, the verdant fields of Haryana, and the sprawling expanses of Uttar Pradesh, has been a testament to the agrarian community's demand for assured crop prices and legal guarantees for the Minimum Support Price (MSP). The protest, which has seen the fortification of borders and the chaos at the Punjab-Haryana border on February 13, 2024, has become a crucible for the farmers' unyielding spirit.
Yet, amidst this backdrop of civil demonstration and discourse, a nefarious narrative of misinformation has taken root. The viral image, which has been shared with the fervour of wildfire, was accompanied by a screenshot of an article allegedly published by the news agency. This article, dated February 11, 2024, quoted an anonymous official who claimed that intelligence agencies had alerted the police to the protesters' plans to outfit tractors with hydraulic tools. The implication was clear: these machines had been transformed into battering rams against the bulwark of law enforcement.
The Pursuit of Truth
However, the India TV Fact Check team, in their relentless pursuit of truth, unearthed that the viral photo of these so-called modified tractors is nothing but a chimerical creation, a figment of artificial intelligence. Visual discrepancies betrayed its AI-generated nature.
This is not the first time that the misinformation has loomed over the farmers' protest. Previous instances, including a viral video of a modified tractor, have been debunked by the same fact-checking team. These efforts are a bulwark against the tide of false narratives that seek to muddy the waters of public understanding.
The claim that the photo depicted modified tractors intended for use in the ‘Delhi Chalo’ farmers' protest rally in Delhi on February 13, 2024, was a mirage.
The Fact Check
OpIndia, in their article, clarified that the photo used was a representative image created by AI and not a real photograph. To further scrutinize this viral photo, the HIVE AI detector tool was employed, indicating a 99.4% likelihood of the image being AI-generated. Thus, the claim made in the post was misleading.
The viral photo claiming that farmers had modified their tractors to avoid tear gas shells and remove barricades put up by the police during the rally was a digital illusion. The internet has become a fertile ground for the rapid spread of misinformation, reaching millions in an instant. Social media, with its complex algorithms, amplifies this spread, as any interaction, even those intended to debunk false information, inadvertently increases its reach. This phenomenon is exacerbated by 'echo chambers,' where users are exposed to a homogenous stream of content that reinforces their pre-existing beliefs, making it difficult to encounter and consider alternative perspectives.
Conclusion
The viral image depicting modified tractors for the ‘Delhi Chalo’ farmers' protest rally was a digital fabrication, a testament to the power of AI in creating convincing yet false narratives. As we navigate the labyrinth of information in the digital era, it is imperative to remain vigilant, to question the veracity of what we see and hear, and to rely on the diligent work of fact-checkers in discerning the truth. The mirage of modified machines serves as a stark reminder of the potency of misinformation and the importance of critical thinking in the age of artificial intelligence.
References
- https://www.indiatvnews.com/fact-check/fact-check-ai-generated-tractor-photo-misrepresented-delhi-chalo-farmers-protest-narrative-msp-police-barricades-punjab-haryana-uttar-pradesh-2024-02-15-917010
- https://factly.in/this-viral-image-depicting-modified-tractors-for-the-delhi-chalo-farmers-protest-rally-is-created-using-ai/

Introduction
The emergence of deepfake technology has become a significant problem in an era driven by technological growth and power. The government has reacted proactively as a result of concerns about the exploitation of this technology due to its extraordinary realism in manipulating information. The national government is in the vanguard of defending national interests, public trust, and security as the digital world changes. On the 26th of December 2023, the central government issued an advisory to businesses, highlighting how urgent it is to confront this growing threat.
The directive aims to directly address the growing concerns around Deepfakes, or misinformation driven by AI. This advice represents the result of talks that Union Minister Shri Rajeev Chandrasekhar, had with intermediaries during the course of a month-long Digital India dialogue. The main aim of the advisory is to accurately and clearly inform users about information that is forbidden, especially those listed under Rule 3(1)(b) of the IT Rules.
Advisory
The Ministry of Electronics and Information Technology (MeitY) has sent a formal recommendation to all intermediaries, requesting adherence to current IT regulations and emphasizing the need to address issues with misinformation, specifically those driven by artificial intelligence (AI), such as Deepfakes. Union Minister Rajeev Chandrasekhar released the recommendation, which highlights the necessity of communicating forbidden information in a clear and understandable manner, particularly in light of Rule 3(1)(b) of the IT Rules.
Advise on Prohibited Content Communication
According to MeitY's advice, intermediaries must transmit content that is prohibited by Rule 3(1)(b) of the IT Rules in a clear and accurate manner. This involves giving users precise details during enrollment, login, and content sharing/uploading on the website, as well as including such information in customer contracts and terms of service.
Ensuring Users Are Aware of the Rules
Digital platform suppliers are required to inform their users of the laws that are relevant to them. This covers provisions found in the IT Act of 2000 and the Indian Penal Code (IPC). Corporations should inform users of the potential consequences of breaking the restrictions outlined in Rule 3(1)(b) and should also urge users to notify any illegal activity to law enforcement.
Talks Concerning Deepfakes
For more than a month, Union Minister Rajeev Chandrasekhar had a significant talk with various platforms where they addressed the issue of "deepfakes," or computer-generated fake videos. The meeting emphasized how crucial it is that everyone abides by the laws and regulations in effect, particularly the IT Rules to prevent deepfakes from spreading.
Addressing the Danger of Disinformation
Minister Chandrasekhar underlined the grave issue of disinformation, particularly in the context of deepfakes, which are false pieces of content produced using the latest developments such as artificial intelligence. He emphasized the dangers this deceptive data posed to internet users' security and confidence. The Minister emphasized the efficiency of the IT regulations in addressing this issue and cited the Prime Minister's caution about the risks of deepfakes.
Rule Against Spreading False Information
The Minister referred particularly to Rule 3(1)(b)(v), which states unequivocally that it is forbidden to disseminate false information, even when doing so involves cutting-edge technology like deepfakes. He called on intermediaries—the businesses that offer digital platforms—to take prompt action to take such content down from their systems. Additionally, he ensured that everyone is aware that breaking such rules has legal implications.
Analysis
The Central Government's latest advisory on deepfake technology demonstrates a proactive strategy to deal with new issues. It also highlights the necessity of comprehensive legislation to directly regulate AI material, particularly with regard to user interests.
There is a wider regulatory vacuum for content produced by artificial intelligence, even though the current guideline concentrates on the precision and lucidity of information distribution. While some limitations are mentioned in the existing laws, there are no clear guidelines for controlling or differentiating AI-generated content.
Positively, it is laudable that the government has recognized the dangers posed by deepfakes and is making appropriate efforts to counter them. As AI technology develops, there is a chance to create thorough laws that not only solve problems but also create a supportive environment for the creation of ethical AI content. User protection, accountability, openness, and moral AI use would all benefit from such laws. This offers an opportunity for regulatory development to guarantee the successful and advantageous incorporation of AI into our digital environment.
Conclusion
The Central Government's preemptive advice on deepfake technology shows a great dedication to tackling new risks in the digital sphere. The advice highlights the urgent need to combat deepfakes, but it also highlights the necessity for extensive legislation on content produced by artificial intelligence. The lack of clear norms offers a chance for constructive regulatory development to protect the interests of users. The advancement of AI technology necessitates the adoption of rules that promote the creation of ethical AI content, guaranteeing user protection, accountability, and transparency. This is a turning point in the evolution of regulations, making it easier to responsibly incorporate AI into our changing digital landscape.
References
- https://economictimes.indiatimes.com/tech/technology/deepfake-menace-govt-issues-advisory-to-intermediaries-to-comply-with-existing-it-rules/articleshow/106297813.cms
- https://pib.gov.in/PressReleaseIframePage.aspx?PRID=1990542#:~:text=Ministry%20of%20Electronics%20and%20Information,misinformation%20powered%20by%20AI%20%E2%80%93%20Deepfakes.
- https://www.timesnownews.com/india/centres-deepfake-warning-to-it-firms-ensure-users-dont-violate-content-rules-article-106298282#:~:text=The%20Union%20government%20on%20Tuesday,actors%2C%20businesspersons%20and%20other%20celebrities

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.