#FactCheck -Doctored Images of Trump–Xi and Biden–Xi Meetings Go Viral; Fact Check Finds No Evidence of Claims
Executive Summary
Following the recent meeting between US President Donald Trump and Chinese President Xi Jinping, two images began circulating widely on social media. One image showed Trump shaking hands with Xi, while another purportedly showed former US President Joe Biden turning his back on the Chinese leader during a previous meeting. The viral posts claimed that Trump showed respect to Xi Jinping, whereas Biden had allegedly insulted him. However, an research found that the image involving Biden was digitally altered and that no such moment appeared in authentic video footage. At the same time, another image showing Trump bowing before Xi Jinping also went viral across multiple social media platforms. This image, too, was found to be manipulated and misleading. Research by the CyberPeace Research Wing confirmed that both viral visuals had been doctored and were being shared with false claims.
Claim
The viral post juxtaposes two images. The first photograph, dated May 14, shows Donald Trump and Xi Jinping shaking hands at the beginning of a landmark summit in Beijing. The second image allegedly depicts Joe Biden turning away from Xi during their 2023 meeting near San Francisco.
- https://web.archive.org/web/20260519173701/https://truthsocial.com/@realDonaldTrump/116585350109647241/embed
- https://truthsocial.com/@realDonaldTrump/116585350109647241/embed
Fact Check
The side-by-side comparison surfaced amid years of criticism by Donald Trump targeting Joe Biden’s age and mental fitness. Trump shared the image after his China visit, which included high-level discussions on trade and the Middle East conflict, along with a temple tour and tea meeting with Xi Jinping. Meanwhile, another manipulated image spread rapidly online, falsely portraying Trump bowing while greeting Xi Jinping. The image circulated widely in several languages, accompanied by captions attacking Trump
However, a review of the The White House livestream on YouTube showed that Joe Biden greeted Xi Jinping immediately after he stepped out of his vehicle and shook hands with him before both leaders walked inside together. At no point in the footage did Biden turn his back or look away from Xi.
Further examination also revealed inconsistencies in the manipulated Trump image. A subtle crease visible near the side pocket of Trump’s suit jacket in authentic footage was missing in the viral version, indicating that the image had been digitally edited.
Conclusion
The research found that both viral images were digitally manipulated and shared with misleading narratives. Neither Joe Biden ignored Xi Jinping during their 2023 meeting, nor did authentic footage show Donald Trump bowing before the Chinese president.
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Introduction
In recent years, the city of Hyderabad/Cyberabad has emerged as a technology hub, a place with the strong presence of multi corporations, Startups, and research institutions, Hyderabad has become a hub of innovations and technological advancement. However, this growing land of cyber opportunities has also become a hub for cybercriminals as well. In this blog post, we shall explore the reasons why professionals are being targeted and the effects of cyber fraud on techies. Through this investigation, we hope to raise awareness about the seriousness of the problem as well as give vital insights and techniques for Cyberabad’s computer workers to defend themselves against cyber theft. We can work together to make Cyberabad’s technology ecosystem safer and more secure.
Defining Cyber Fraud
In today’s age, where everything has an interconnected digital world, cyber fraud cases are increasing daily. Cyber fraud encompasses a wide range of threats and techniques employed by bad actors, such as Phishing, Ransomware, identity theft, online scams, data breaches, and fake websites designed for users. The sophistication of cyber fraud techniques is constantly evolving, making it challenging for individuals and organisations to stay ahead. Cybercriminals use software vulnerabilities, social engineering tactics, and flaws in cybersecurity defences to carry out their harmful operations. Individuals and organisations must grasp these dangers and tactics to protect themselves against cyber fraud.
Impact of Cyber Frauds
The consequences of Falling victim to cyber fraud can be devastating, both personally and professionally. The emotional and financial toll on individuals may be a challenge. Identity theft may lead to damaged credit scores, fraudulent transactions, and years of recovery work to rehabilitate one’s image. Financial fraud can result in depleted bank accounts, unauthorised charges, and substantial monetary losses. Furthermore, being tricked and violated in the digital environment can generate anxiety, tension, and a lack of confidence.
The impact of cyber fraud goes beyond immediate financial losses and can have long-term consequences for individuals’ and organisations’ entire well-being and stability. As the threat environment evolves, it is critical for people and organisations to recognise the gravity of these repercussions and take proactive actions to protect themselves against cyber theft.
Why are Cyberabad Tech Professionals Targeted?
Tech professionals in Cyberabad are particularly vulnerable to cyber due to various factors. Firstly, their expertise and knowledge in technology make them attractive targets for cybercrooks. These professionals possess valuable coding, Software, and administration skills, making them attractive to cybercriminals.
Secondly, the nature of work often involves enormous use of technology, including regular internet contacts, email exchanges, and access to private information. This expanded digital presence exposes them to possible cyber dangers and makes them more vulnerable to fraudsters’ social engineering efforts. Furthermore, the fast-moving nature of the tech industry, with many deadlines and work pressure to deliver, can create a distraction. This can let them click on some malicious links or share sensitive information unknowingly all these factors let the cyber criminals exploit vulnerabilities.
Unveiling the Statistics
According to various reports, 80% of cyber fraud victims in Hyderabad are techies; the rest are the public targeted by cyber crooks. This surprising number emphasises the critical need to address the vulnerabilities and threats this specific segment within the IT community faces.
Going further into the data, we can acquire insights into the many forms of cyber fraud targeting tech workers, the strategies used by cybercriminals, and the impact these occurrences have on individuals and organisations. Examining precise features and patterns within data might give important information for developing successful preventative and protection methods.
Factors Contributing
Several reasons contribute to the elevated risk of cyber fraud among ICT professionals in Cyberabad. Understanding these aspects helps explain why this group is specifically targeted and may be more vulnerable to such assaults.
Technical Expertise: Tech workers frequently have specialised technical knowledge, but this knowledge may only sometimes extend to cybersecurity. Their primary concentration is writing software, designing systems, or implementing technologies, which may result in missing possible vulnerabilities or a lack of overall cybersecurity understanding.
Confidence in Technology: IT workers have a higher level of confidence in technology because of their knowledge and dependence on technology. This trust can sometimes make individuals more vulnerable to sophisticated frauds or social engineering approaches that prey on their faith in the services they utilise.
Time Constraints and Pressure: Tech workers frequently operate under tight deadlines and tremendous pressure to reach project milestones. This may result in hurried decision-making or disregarding possible warning signals of cyber fraud, rendering them more exposed to assaults that prey on time-sensitive circumstances.
Cybercriminals know that technology workers have valuable knowledge, trade secrets, and intellectual property that may be economically profitable. As a result, they are attractive targets for attacks aiming at stealing sensitive data or gaining unauthorised access to critical systems.
The best practices that cyber techies can apply to safeguard their personal and professional data by following these simple tips:
Strong Passwords: create a strong password, using passwords for all your online accounts and changing them regularly. Remember to use unique combinations!
MFA (Multi-Factor Authentication): Enable MFA wherever possible. This provides an extra degree of protection by requiring a second form of verification, such as a code texted to your mobile device and your password.
Use Secured WiFi: Use secure and encrypted Wi-Fi networks, especially while viewing sensitive information. Avoid connecting to public or unprotected networks, as they can be readily exploited. Recognising Red Flags and Staying Ahead
Social Engineering: Be sceptical of unwanted solicitations or offers, both online and offline. Cybercriminals may try to persuade or fool you using social engineering tactics. Before revealing any personal or private information, think critically and confirm the veracity of the request.
Secure Web Browsing: Only browse trustworthy websites with valid SSL certificates (look for “https://” in the URL). Avoid clicking on strange links or downloading files from unknown sources since they may contain malware or ransomware.
Report Suspicious actions: If you encounter any suspicious or fraudulent actions, report them to the relevant authorities, such as the Cyber Crime Police or your organisation’s IT department. Reporting events can assist in avoiding additional harm and aid in identifying and apprehending hackers.
Stay Current on Security Practises: Stay up to speed on the newest cybersecurity risks and best practices. Follow credible sources, participate in cybersecurity forums or seminars, and remain current on new threats and preventative measures.
Conclusion
The rise in cybercrimes and fraud cases among tech experts in Cyberabad is a disturbing trend that requires prompt intervention. We can establish a safer tech cluster that lives on creativity, trust, and resilience by adopting proactive actions, raising awareness, and encouraging cooperation. Let us work together to prevent cybercrime and ensure the future of Cyberabad’s IT ecosystem.
Introduction
In the hyperconnected world, cyber incidents can no longer be treated as sporadic disruptions; such incidents have become an everyday occurrence. The attack landscape today is very consequential and shows significant multiplication in its frequency, with ransomware attacks incapacitating a health system, phishing attacks hitting a financial institution, or state-sponsored attacks on critical infrastructures. Towards counteracting such threats, traditional ways alone are not enough, they gravely rely on manual research and human intellect. Attackers exercise speed, scale, and stealth, and defenders are always four steps behind. With such a widening gap, it is deemed necessary to facilitate incident response and crisis management with the intervention of automation and artificial intelligence (AI) for faster detection, context-driven decision-making, and collaborative response beyond human capabilities.
Incident Response and Crisis Management
Incident response is the structured way in which organisations deal with responding to detecting, segregating, and recovering from security incidents. Crisis management takes this even further, dealing not only with the technical fallout of a breach but also its business, reputation, and regulatory implications. Echelon used to depend on manual teams of people sorting through logs, cross-correlating alarms, and generating responses, a paradigm effective for small numbers but quickly inadequate in today's threat climate. Today's opponents attack at machine speed, employing automation to launch attacks. Under such circumstances, responding with slow, manual methods means delay and draconian consequences. The AI and automation introduction is a paradigm change that allows organisations to equate the pace and precision with which attackers initiate attacks in responding to incidents.
How Automation Reinvents Response
Cybercrime automation liberates cybercrime analysts from boring and repetitive tasks that consume time. An analyst manually detects potential threats from a list of hundreds each day, while automated systems sift through noise and focus only on genuine threats. Malware can automatically cause infected computers to be disconnected from the network to avoid spreading or may automatically have its suspicious account permissions removed without human intervention. The security orchestration systems move further by introducing playbooks, predefined steps describing how incidents of a certain type (e.g., phishing attempts or malware infections) should be handled. This ensures fast containment while ensuring consistency and minimising human error amid the urgency of dealing with thousands of alerts.
Automation takes care of threat detection, prioritisation, and containment, allowing human analysts to refocus on more complex decision-making. Instead of drowning in the sea of trivial alerts, security teams can now devote their efforts to more strategic areas: threat hunting and longer-term resilience. Automation is a strong tool of defence, cutting response times down from hours to minutes.
The Intelligence Layer: AI in Action
If automation provides speed, then AI is what allows the brain to be intelligent and flexible. Working with old and fixed-rule systems, AI-enabled solutions learn from experiences, adapt to changes in threats, and discover hidden patterns of which human analysts themselves would be unaware. For instance, machine learning algorithms identify normal behaviour on a corporate network and raise alerts on any anomalies that could indicate an insider attack or an advanced persistent threat. Similarly, AI systems sift through global threat intelligence to predict likely attack vectors so organisations can have their vulnerabilities fixed before they are exploited.
AI also boosts forensic analysis. Instead of searching forever for clues, analysts let AI-driven systems trace back to the origin of an event, identify vulnerabilities exploited by attackers, and flag systems that are still under attack. During a crisis, AI is a decision support that predicts outcomes of different scenarios and recommends the best response. In response to a ransomware attack, for example, based on context, AI might advise separating a single network segment or restoring from backup or alerting law enforcement.
Real-World Applications and Case Studies
Already, this mitigation has been provided in the form of real-world applications of automation and AI. Consider, for example, IBM Watson for Cybersecurity, which has been applied in analysing unstructured threat intelligence and providing analysts with actionable results in minutes, rather than days. Like this, systems driven by AI in DARPA's Cyber Grand Challenge demonstrated the ability to automatically identify an instant vulnerability, patch it, and reveal the potential of a self-healing system. AI-powered fraud detection systems stop suspicious transactions in the middle of their execution and work all night to prevent losses. What is common in all these examples is that automation and AI lessen human effort, increase accuracy, and in the event of a cyberattack, buy precious time.
Challenges and Limitations
While promising, the technology is still not fully mature. The quality of an AI system is highly dependent on the training data provided; poor training can generate false positives that drown teams or worse false negatives that allow attackers to proceed unabated. Attackers have also started targeting AI itself by poisoning datasets or designing malware that does not get detected. Aside from risks that are more technical, the operational and financial costs involved in implementing advanced AI-based systems present expensive threats to any company. Organisations will have to make expenditures not only on technology but also for the training of staff to best utilise these tools. There are some ethical and privacy issues to consider as well because systems may be processing sensitive personal data, so global data protection laws such as the GDPR or India's DPDP Act could come into conflict.
Creating a Human-AI Collaboration
The future is not going to be one of substitution by machines but of creating human-AI synergy. Automation can do the drudgery, AI can provide smarts, and human professionals can use judgment, imagination, and ethical decisions. One would want to build AI-fuelled Security Operations Centres where technology and human experts work in tandem. Continuous training must be provided to AI models to reduce false alarms and make them most resistant against adversarial attacks. Regular conduct of crisis drills that combine AI tools and human teams can ensure preparedness for real-time events. Likewise, it is worth integrating ethical AI guidelines into security frameworks to ensure a stronger defence while respecting privacy and regulatory compliance.
Conclusion
Cyber-attacks are an eventuality in this modern time, but the actual impact need not be so harsh. The organisations can maintain the programmatic method of integrating automation and AI into incident response and crisis management so that the response against the very threat can be shifted from reactive firefighting to proactive resilience. Automation gives speed and efficiency while AI gives intelligence and foresight, hence putting the defenders on par and possibly exceeding the speed and sophistication of the attackers. But an utmost system without human inquisitiveness, ethical reasoning, and strategic foresight would remain imperfect. The best defence is in that human-machine relationship symbiotic system wherein automation and AI take care of how fast and how many cyber threats come in, whereas human intellect ensures that every response is aligned with larger organizational goals. This synergy is where cybersecurity resiliency will reside in the future-the defenders won't just be reacting to emergencies but will rather be driving the way.
References
- https://www.sisainfosec.com/blogs/incident-response-automation/
- https://stratpilot.ai/role-of-ai-in-crisis-management-and-its-critical-importance/
- https://www.juvare.com/integrating-artificial-intelligence-into-crisis-management/
- https://www.motadata.com/blog/role-of-automation-in-incident-management/
Executive Summary:
A video of former Army Chief General Manoj Pande is going viral on social media with the claim that he attacked the Modi government, saying that supporting Israel is causing significant harm to the Indian Army. The research by CyberPeace revealed that the audio present in the viral video is AI-generated. No such statement was made in the original video.
Claim:
On social media platform X, while sharing the viral video, users wrote, “Delhi: Former Army Chief General Manoj Pande (Retd.) said, ‘Do you know what the biggest loss of supporting Israel is? Our Indian Army was always trained as a moral force, but the current situation is turning it into an ethnic force. Remember my words, this situation is moving towards a complete rebellion. We have all seen what is happening in Assam.’ ‘The Israeli army stands against humanity, and brutality has become its identity. Our army is becoming like them due to its association. The Modi government and the Sangh Parivar are responsible for this. For both, Israel is an ideal country, and they are running an agenda to turn India into Israel.’”
Fact Check:
In the research of the viral video claiming that former Army Chief General Manoj Pande attacked the Modi government, we conducted a reverse image search with the help of keyframes. During this process, we found a video uploaded on March 14 on the X account of the news agency Press Trust of India (PTI).
The visuals present in the video matched those in the viral video.
In this video, former Army Chief General Manoj Pande was seen delivering a speech in Marathi and English. However, during this, he was talking about increasing new kinds of capabilities in view of the current situation and not mentioning Israel, as claimed in the viral video. In the approximately 1 minute 15 seconds long video, he did not give any such statement as present in the viral video.
While taking the research forward, we found a report published on March 15, 2026, on the website of ThePrint. This report mentioned the speech delivered by former Army Chief General Manoj Pande, but no report mentioned the statement shown in the viral video.
Conclusion:
Our research found that the audio present in the viral video is AI-generated. In the original video, he did not make any such statement.
