#FactCheck: AI Video made by Pakistan which says they launched a cross-border airstrike on India's Udhampur Airbase
Executive Summary:
A social media video claims that India's Udhampur Air Force Station was destroyed by Pakistan's JF-17 fighter jets. According to official sources, the Udhampur base is still fully operational, and our research proves that the video was produced by artificial intelligence. The growing problem of AI-driven disinformation in the digital age is highlighted by this incident.

Claim:
A viral video alleges that Pakistan's JF-17 fighter jets successfully destroyed the Udhampur Air Force Base in India. The footage shows aircraft engulfed in flames, accompanied by narration claiming the base's destruction during recent cross-border hostilities.

Fact Check :
The Udhampur Air Force Station was destroyed by Pakistani JF-17 fighter jets, according to a recent viral video that has been shown to be completely untrue. The audio and visuals in the video have been conclusively identified as AI-generated based on a thorough analysis using AI detection tools such as Hive Moderation. The footage was found to contain synthetic elements by Hive Moderation, confirming that the images were altered to deceive viewers. Further undermining the untrue claims in the video is the Press Information Bureau (PIB) of India, which has clearly declared that the Udhampur Airbase is still fully operational and has not been the scene of any such attack.

Our analysis of recent disinformation campaigns highlights the growing concern that AI-generated content is being weaponized to spread misinformation and incite panic, which is highlighted by the purposeful misattribution of the video to a military attack.
Conclusion:
It is untrue that the Udhampur Air Force Station was destroyed by Pakistan's JF-17 fighter jets. This claim is supported by an AI-generated video that presents irrelevant footage incorrectly. The Udhampur base is still intact and fully functional, according to official sources. This incident emphasizes how crucial it is to confirm information from reliable sources, particularly during periods of elevated geopolitical tension.
- Claim: Recent video footage shows destruction caused by Pakistani jets at the Udhampur Airbase.
- Claimed On: Social Media
- Fact Check: False and Misleading
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Executive Summary:
A viral claim circulating on social media suggests that the Indian government is offering a 50% subsidy on tractor purchases under the so-called "Kisan Tractor Yojana." However, our research reveals that the website promoting this scheme, allegedly under the Ministry of Agriculture and Farmers Welfare, is misleading. This report aims to inform readers about the deceptive nature of this claim and emphasize the importance of safeguarding personal information against fraudulent schemes.


Claim:
A website has been circulating misleading information, claiming that the Indian government is offering a 50% subsidy on tractor purchases under the so-called "Kisan Tractor Yojana." Additionally, a YouTube video promoting this scheme suggests that individuals can apply by submitting certain documents and paying a small, supposedly refundable application fee.


Fact Check:
Our research has confirmed that there is no scheme by the Government of India named 'PM Kisan Tractor Yojana.' The circulating announcement is false and appears to be an attempt to defraud farmers through fraudulent means.
While the government does provide various agricultural subsidies under recognized schemes such as the PM Kisan Samman Nidhi and the Sub-Mission on Agricultural Mechanization (SMAM), no such initiative under the name 'PM Kisan Tractor Yojana' exists. This misleading claim is, therefore, a phishing attempt aimed at deceiving farmers and unlawfully collecting their personal or financial information.
Farmers and stakeholders are advised to rely only on official government sources for scheme-related information and to exercise caution against such deceptive practices.
To assess the authenticity of the “PM Kisan Tractor Yojana” claim, we reviewed the websites farmertractoryojana.in and tractoryojana.in. Our analysis revealed several inconsistencies, indicating that these websites are fraudulent.
As part of our verification process, we evaluated tractoryojana.in using Scam Detector to determine its trustworthiness. The results showed a low trust score, raising concerns about its legitimacy. Similarly, we conducted the same check for farmertractoryojana.in, which also appeared untrustworthy and risky. The detailed results of these assessments are attached below.
Given that these websites falsely present themselves as government-backed initiatives, our findings strongly suggest that they are part of a fraudulent scheme designed to mislead and exploit individuals seeking genuine agricultural subsidies.




During our research, we examined the "How it Works" section of the website, which outlines the application process for the alleged “PM Kisan Tractor Yojana.” Notably, applicants are required to pay a refundable application fee to proceed with their registration. It is important to emphasize that no legitimate government subsidy program requires applicants to pay a refundable application fee.


Our research found that the address listed on the website, “69A, Hanuman Road, Vile Parle East, Mumbai 400057,” is not associated with any government office or agricultural subsidy program. This further confirms the website’s fraudulent nature. Farmers should verify subsidy programs through official government sources to avoid scams.

A key inconsistency is the absence of a verified social media presence. Most legitimate government programs maintain official social media accounts for updates and communication. However, these websites fail to provide any such official handles, further casting doubt on their authenticity.

Upon attempting to log in, both websites redirect to the same page, suggesting they may be operated by the same entity or individual. This further raises concerns about their legitimacy and reinforces the likelihood of fraudulent activity.

Conclusion:
Our research confirms that the "PM Kisan Tractor Yojana" claim is fraudulent. No such government scheme exists, and the websites promoting it exhibit multiple red flags, including low trust scores, a misleading application process requiring a refundable fee, a false address, and the absence of an official social media presence. Additionally, both websites redirect to the same page, suggesting they are operated by the same entity. Farmers are advised to rely on official government sources to avoid falling victim to such scams.
- Claim: PM-Kisan Tractor Yojana Government Offering Subsidy on tractors.
- Claimed On: Social Media
- Fact Check: False and Misleading

Introduction
Generative AI, particularly deepfake technology, poses significant risks to security in the financial sector. Deepfake technology can convincingly mimic voices, create lip-sync videos, execute face swaps, and carry out other types of impersonation through tools like DALL-E, Midjourney, Respeecher, Murf, etc, which are now widely accessible and have been misused for fraud. For example, in 2024, cybercriminals in Hong Kong used deepfake technology to impersonate the Chief Financial Officer of a company, defrauding it of $25 million. Surveys, including Regula’s Deepfake Trends 2024 and Sumsub reports, highlight financial services as the most targeted sector for deepfake-induced fraud.
Deepfake Technology and Its Risks to Financial Systems
India’s financial ecosystem, including banks, NBFCs, and fintech companies, is leveraging technology to enhance access to credit for households and MSMEs. The country is a leader in global real-time payments and its digital economy comprises 10% of its GDP. However, it faces unique cybersecurity challenges. According to the RBI’s 2023-24 Currency and Finance report, banks cite cybersecurity threats, legacy systems, and low customer digital literacy as major hurdles in digital adoption. Deepfake technology intensifies risks like:
- Social Engineering Attacks: Information security breaches through phishing, vishing, etc. become more convincing with deepfake imagery and audio.
- Bypassing Authentication Protocols: Deepfake audio or images may circumvent voice and image-based authentication systems, exposing sensitive data.
- Market Manipulation: Misleading deepfake content making false claims and endorsements can harm investor trust and damage stock market performance.
- Business Email Compromise Scams: Deepfake audio can mimic the voice of a real person with authority in the organization to falsely authorize payments.
- Evolving Deception Techniques: The usage of AI will allow cybercriminals to deploy malware that can adapt in real-time to carry out phishing attacks and inundate targets with increased speed and variations. Legacy security frameworks are not suited to countering automated attacks at such a scale.
Existing Frameworks and Gaps
In 2016, the RBI introduced cybersecurity guidelines for banks, neo-banking, lending, and non-banking financial institutions, focusing on resilience measures like Board-level policies, baseline security standards, data leak prevention, running penetration tests, and mandating Cybersecurity Operations Centres (C-SOCs). It also mandated incident reporting to the RBI for cyber events. Similarly, SEBI’s Cybersecurity and Cyber Resilience Framework (CSCRF) applies to regulated entities (REs) like stock brokers, mutual funds, KYC agencies, etc., requiring policies, risk management frameworks, and third-party assessments of cyber resilience measures. While both frameworks are comprehensive, they require updates addressing emerging threats from generative AI-driven cyber fraud.
Cyberpeace Recommendations
- AI Cybersecurity to Counter AI Cybercrime: AI-generated attacks can be designed to overwhelm with their speed and scale. Cybercriminals increasingly exploit platforms like LinkedIn, Microsoft Teams, and Messenger, to target people. More and more organizations of all sizes will have to use AI-based cybersecurity for detection and response since generative AI is becoming increasingly essential in combating hackers and breaches.
- Enhancing Multi-factor Authentication (MFA): With improving image and voice-generation/manipulation technologies, enhanced authentication measures such as token-based authentication or other hardware-based measures, abnormal behaviour detection, multi-device push notifications, geolocation verifications, etc. can be used to improve prevention strategies. New targeted technological solutions for content-driven authentication can also be implemented.
- Addressing Third-Party Vulnerabilities: Financial institutions often outsource operations to vendors that may not follow the same cybersecurity protocols, which can introduce vulnerabilities. Ensuring all parties follow standardized protocols can address these gaps.
- Protecting Senior Professionals: Senior-level and high-profile individuals at organizations are at a greater risk of being imitated or impersonated since they hold higher authority over decision-making and have greater access to sensitive information. Protecting their identity metrics through technological interventions is of utmost importance.
- Advanced Employee Training: To build organizational resilience, employees must be trained to understand how generative and emerging technologies work. A well-trained workforce can significantly lower the likelihood of successful human-focused human-focused cyberattacks like phishing and impersonation.
- Financial Support to Smaller Institutions: Smaller institutions may not have the resources to invest in robust long-term cybersecurity solutions and upgrades. They require financial and technological support from the government to meet requisite standards.
Conclusion
According to The India Cyber Threat Report 2025 by the Data Security Council of India (DSCI) and Seqrite, deepfake-enabled cyberattacks, especially in the finance and healthcare sectors, are set to increase in 2025. This has the potential to disrupt services, steal sensitive data, and exploit geopolitical tensions, presenting a significant risk to the critical infrastructure of India.
As the threat landscape changes, institutions will have to continue to embrace AI and Machine Learning (ML) for threat detection and response. The financial sector must prioritize robust cybersecurity strategies, participate in regulation-framing procedures, adopt AI-based solutions, and enhance workforce training, to safeguard against AI-enabled fraud. Collaborative efforts among policymakers, financial institutions, and technology providers will be essential to strengthen defenses.
Sources
- https://sumsub.com/newsroom/deepfake-cases-surge-in-countries-holding-2024-elections-sumsub-research-shows/
- https://www.globenewswire.com/news-release/2024/10/31/2972565/0/en/Deepfake-Fraud-Costs-the-Financial-Sector-an-Average-of-600-000-for-Each-Company-Regula-s-Survey-Shows.html
- https://www.sipa.columbia.edu/sites/default/files/2023-05/For%20Publication_BOfA_PollardCartier.pdf
- https://edition.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk/index.html
- https://www.rbi.org.in/Commonman/English/scripts/Notification.aspx?Id=1721
- https://elplaw.in/leadership/cybersecurity-and-cyber-resilience-framework-for-sebi-regulated-entities/
- https://economictimes.indiatimes.com/tech/artificial-intelligence/ai-driven-deepfake-enabled-cyberattacks-to-rise-in-2025-healthcarefinance-sectors-at-risk-report/articleshow/115976846.cms?from=mdr

Executive Summary:
A new threat being uncovered in today’s threat landscape is that while threat actors took an average of one hour and seven minutes to leverage Proof-of-Concept(PoC) exploits after they went public, now the time is at a record low of 22 minutes. This incredibly fast exploitation means that there is very limited time for organizations’ IT departments to address these issues and close the leaks before they are exploited. Cloudflare released the Application Security report which shows that the attack percentage is more often higher than the rate at which individuals invent and develop security countermeasures like the WAF rules and software patches. In one case, Cloudflare noted an attacker using a PoC-based attack within a mere 22 minutes from the moment it was released, leaving almost no time for a remediation window.
Despite the constant growth of vulnerabilities in various applications and systems, the share of exploited vulnerabilities, which are accompanied by some level of public exploit or PoC code, has remained relatively stable over the past several years and fluctuates around 50%. These vulnerabilities with publicly known exploit code, 41% was initially attacked in the zero-day mode while of those with no known code, 84% was first attacked in the same mode.
Modus Operandi:
The modus operandi of the attack involving the rapid weaponization of proof-of-concept (PoC) exploits is characterized by the following steps:
- Vulnerability Identification: Threat actors bring together the exploitation of a system vulnerability that may be in the software or hardware of the system; this may be a code error, design failure, or a configuration error. This is normally achieved using vulnerability scanners and test procedures that have to be performed manually.
- Vulnerability Analysis: After the vulnerability is identified, the attackers study how it operates to determine when and how it can be triggered and what consequences that action will have. This means that one needs to analyze the details of the PoC code or system to find out the connection sequence that leads to vulnerability exploitation.
- Exploit Code Development: Being aware of the weakness, the attackers develop a small program or script denoted as the PoC that addresses exclusively the identified vulnerability and manipulates it in a moderated manner. This particular code is meant to be utilized in showing a particular penalty, which could be unauthorized access or alteration of data.
- Public Disclosure and Weaponization: The PoC exploit is released which is frequently done shortly after the vulnerability has been announced to the public. This makes it easier for the attackers to exploit it while waiting for the software developer to release the patch. To illustrate, Cloudflare has spotted an attacker using the PoC-based exploit 22 minutes after the publication only.
- Attack Execution: The attackers then use the weaponized PoC exploit to attack systems which are known to be vulnerable to it. Some of the actions that are tried in this context are attempts at running remote code, unauthorized access and so on. The pace at which it happens is often much faster than the pace at which humans put in place proper security defense mechanisms, such as the WAF rules or software application fixes.
- Targeted Operations: Sometimes, they act as if it’s a planned operation, where the attackers are selective in the system or organization to attack. For example, exploitation of CVE-2022-47966 in ManageEngine software was used during the espionage subprocess, where to perform such activity, the attackers used the mentioned vulnerability to install tools and malware connected with espionage.
Precautions: Mitigation
Following are the mitigating measures against the PoC Exploits:
1. Fast Patching and New Vulnerability Handling
- Introduce proper patching procedures to address quickly the security released updates and disclosed vulnerabilities.
- Focus should be made on the patching of those vulnerabilities that are observed to be having available PoC exploits, which often risks being exploited almost immediately.
- It is necessary to frequently check for the new vulnerability disclosures and PoC releases and have a prepared incident response plan for this purpose.
2. Leverage AI-Powered Security Tools
- Employ intelligent security applications which can easily generate desirable protection rules and signatures as attackers ramp up the weaponization of PoC exploits.
- Step up use of artificial intelligence (AI) - fueled endpoint detection and response (EDR) applications to quickly detect and mitigate the attempts.
- Integrate Artificial Intelligence based SIEM tools to Detect & analyze Indicators of compromise to form faster reaction.
3. Network Segmentation and Hardening
- Use strong networking segregation to prevent the attacker’s movement across the network and also restrict the effects of successful attacks.
- Secure any that are accessible from the internet, and service or protocols such as RDP, CIFS, or Active directory.
- Limit the usage of native scripting applications as much as possible because cyber attackers may exploit them.
4. Vulnerability Disclosure and PoC Management
- Inform the vendors of the bugs and PoC exploits and make sure there is a common understanding of when they are reported, to ensure fast response and mitigation.
- It is suggested to incorporate mechanisms like digital signing and encryption for managing and distributing PoC exploits to prevent them from being accessed by unauthorized persons.
- Exploits used in PoC should be simple and independent with clear and meaningful variable and function names that help reduce time spent on triage and remediation.
5. Risk Assessment and Response to Incidents
- Maintain constant supervision of the environment with an intention of identifying signs of a compromise, as well as, attempts of exploitation.
- Support a frequent detection, analysis and fighting of threats, which use PoC exploits into the system and its components.
- Regularly communicate with security researchers and vendors to understand the existing threats and how to prevent them.
Conclusion:
The rapid process of monetization of Proof of Concept (POC) exploits is one of the most innovative and constantly expanding global threats to cybersecurity at the present moment. Cyber security experts must react quickly while applying a patch, incorporate AI to their security tools, efficiently subdivide their networks and always heed their vulnerability announcements. Stronger incident response plan would aid in handling these kinds of menaces. Hence, applying measures mentioned above, the organizations will be able to prevent the acceleration of turning PoC exploits into weapons and the probability of neutral affecting cyber attacks.
Reference:
https://www.mayrhofer.eu.org/post/vulnerability-disclosure-is-positive/
https://www.uptycs.com/blog/new-poc-exploit-backdoor-malware
https://www.balbix.com/insights/attack-vectors-and-breach-methods/
https://blog.cloudflare.com/application-security-report-2024-update