#FactCheck: Viral video claims BSF personnel thrashing a person selling Bangladesh National Flag in West Bengal

Introduction:

The Federal Bureau of Investigation (FBI) focuses on threats and is an intelligence-driven agency with both law enforcement and intelligence responsibilities. The FBI has the power and duty to look into certain offences that are entrusted to it and to offer other law enforcement agencies cooperation services including fingerprint identification, lab tests, and training. In order to support its own investigations as well as those of its collaborators and to better comprehend and address the security dangers facing the United States, the FBI also gathers, disseminates, and analyzes intelligence.

The FBI’s  Internet Crime Complaint Center (IC3) Functions combating cybercrime:

1. Collection: Internet crime victims can report incidents and notify the relevant authorities of potential illicit Internet behavior using the IC3. Law enforcement frequently advises and directs victims to use www.ic3.gov to submit a complaint.
2. Analysis: To find new dangers and trends, the IC3 examines and examines data that users submit via its website.
3. Public Awareness: The website posts public service announcements, business alerts, and other publications outlining specific frauds. Helps to raise awareness and make people become aware of Internet crimes and how to stay protected.
4. Referrals: The IC3 compiles relevant complaints to create referrals, which are sent to national, international, local, and state law enforcement agencies for possible investigation. If law enforcement conducts an investigation and finds evidence of a crime, the offender may face legal repercussions.

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Alarming increase in cyber crime cases:

In the recently released 2022 Internet Crime Report by the FBI's Internet Crime Complaint Center (IC3), the statistics paint a concerning picture of cybercrime in the United States. FBI’s Internet Crime Complaint Center (IC3) received 39,416 cases of extortion in 2022. The number of cases in 2021 stood at 39,360.

FBI officials emphasize the growing scope and sophistication of cyber-enabled crimes, which come from around the world. They highlight the importance of reporting incidents to IC3 and stress the role of law enforcement and private-sector partnerships.

About Internet Crime Complaint Center IC3:

IC3 was established in May 2000 by the FBI to receive complaints related to internet crimes.

It has received over 7.3 million complaints since its inception, averaging around 651,800 complaints per year over the last five years. IC3's mission is to provide the public with a reliable reporting mechanism for suspected cyber-enabled criminal activity and to collaborate with law enforcement and industry partners. 

The FBI encourages the public to regularly review consumer and industry alerts published by IC3. An victim of an internet crime are urged to submit a complaint to IC3, and can also file a complaint on behalf of another person. These statistics underscore the ever-evolving and expanding threat of cybercrime and the importance of vigilance and reporting to combat this growing challenge.

What is sextortion?

The use or threatened use of a sexual image or video of another person without that person’s consent, derived from online encounters or social media websites or applications, primarily to extort money from that person or asking for sexual favours and giving warning to distribute that picture or video to that person’s friends, acquaintances, spouse, partner, or co-workers or in public domain. 

Sextortion is an online crime that can be understood as, when an bad actor coerces a young person into creating or sharing a sexual image or video of themselves and then uses it to get something from such young person, such as other sexual images, money, or even sexual favours. Reports highlights that more and more kids are being blackmailed in this way. Sextortion can also happen to adults. Sextortion can also take place by taking your pictures from social media account and converting those pictures into sexually explicit content by morphing such images or creating deepfake by miusing deepfake technologies.

Sextortion in the age of AI and advanced technologies:

AI and deep fake technology make sextortion even more dangerous and pernicious. A perpetrator can now produce a high-quality deep fake that convincingly shows a victim engaged in explicit acts — even if the person has not done any such thing. 

Legal Measures available in cases of sextortion:

In India, cybersecurity is governed primarily by the Indian Penal Code (IPC) and the Information Technology Act, 2000 (IT Act). Addressing cyber crimes such as hacking, identity theft, and the publication of obscene material online, sextortion and other cyber crimes. The IT Act covers various aspects of electronic governance and e-commerce, with providing provisions for defining such offences and providing punishment for such offences.

Recently Digital Personal Data Protection Act, 2023 has been enacted by the Indian Government to protect the digital personal data of the Individuals. These laws collectively establish the legal framework for cybersecurity and cybercrime prevention in India. Victims are urged to report the crime to local law enforcement and its cybercrime divisions. Law enforcement will investigate sextortion cases reports and will undertake appropriate legal action.  

How to stay protected from evolving cases of sextortion: Best Practices:

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• Report the Crime to law enforcement agency and social media platform or Internet service provider. 
• Enable Two-step verification as an extra layer of protection.
• Keep your laptop Webcams covered when not in use.
• Stay protected from malware and phishing Attacks.
• Protect your personal information on your social media account, and also monitor your social media accounts in order to identify any suspicious activity. You can also set and review privacy settings of your social media accounts.

Conclusion:

Sextortion cases has been increased in recent time. Knowing the risk, being aware of rules and regulations, and by following best practices will help in preventing such crime and help you to stay safe and also avoid the chance of being victimized. It is important to spreading awareness about such growing cyber crimes and empowering the people to report it and it is also significant to provide support to victims. Let’s all unite in order to fight against such cyber crimes and also to make life a safer place on the internet or digital space.

References:

• https://www.ic3.gov/Media/PDF/AnnualReport/2022_IC3ElderFraudReport.pdf
• https://octillolaw.com/insights/fbi-ic3-releases-2022-internet-crime-report/
• https://www.iafci.org/app_themes/docs/Federal%20Agency/2022_IC3Report.pdf

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Introduction

In the sprawling online world, trusted relationships are frequently taken advantage of by cybercriminals seeking to penetrate guarded systems. The Watering Hole Attack is one advanced method, which focuses on a user’s ecosystem by compromising the genuine sites they often use. This attack method is different from phishing or direct attacks as it quietly exploits the everyday browsing of the target to serve malicious content. The quiet and exact nature of watering hole attacks makes them prevalent amongst Advanced Persistent Threat (APT) groups, especially in conjunction with state-sponsored cyber-espionage operations.

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What Qualifies as a Watering Hole Attack?  

A Watering Hole Attack targets and infects a trusted website. The targeted website is one that is used by a particular organization or community, such as a specific industry sector. This type of cyberattack is analogous to the method of attack used by animals and predators waiting by the water’s edge for prey to drink. Attackers prey on their targets by injecting malicious code, such as an exploit kit or malware loader, into websites that are popular with their victims. These victims are then infected when they visit said websites unknowingly. This opens as a gateway for attackers to infiltrate corporate systems, harvest credentials, and pivot across internal networks. 

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How Watering Hole Attacks Unfold

The attack lifecycle usually progresses as follows:

• Reconnaissance - Attackers gather intelligence on the websites frequented by the target audience, including specialized communities, partner websites, or local news sites.  
• Website Exploitation - Through the use of outdated CMS software and insecure plugins, attackers gain access to the target website and insert malicious code such as JS or iframe redirections.  
• Delivery and Exploitation - The visitor’s browser executes the malicious code injected into the page. The code might include a redirection payload which sends the user to an exploit kit that checks the user’s browser, plugins, operating system, and other components for vulnerabilities.  
• Infection and Persistence - The infected system malware such as RATs, keyloggers, or backdoors. These enable lateral and long-term movements within the organisation for espionage.  
• Command and Control (C2) - For further instructions, additional payload delivery, and stolen data retrieval, infected devices connect to servers managed by the attackers.

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Key Features of Watering Hole Attacks  

• Indirect Approach: Instead of going after the main target, attackers focus on sites that the main target trusts.  
• Supply-Chain-Like Impact: An infected industry portal can affect many companies at the same time.  
• Low Profile: It is difficult to identify since the traffic comes from real websites.  
• Advanced Customization: Exploit kits are known to specialize in making custom payloads for specific browsers or OS versions to increase the chance of success.  

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Why Are These Attacks Dangerous?  

Worming hole attacks shift the battlefield to new grounds in cyber warfare on the web. They eliminate the need for firewalls, email shields, and other security measures because they operate on the traffic to and from real, trusted websites. When the attacks work as intended, the following consequences can be expected:  

• Stealing Credentials: Including privileged accounts and VPN credentials.  
• Espionage: Theft of intellectual property, defense blueprints, or government confidential information.  
• Supply Chain Attacks: Resulting in a series of infections among related companies.  
• Zero-Day Exploits: Including automated attacks using zero-day exploits for full damage.

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Incidents of Primary Concern  

The implications of watering hole attacks have been felt in the real world for quite some time. An example from 2019 reveals this, where a known VoIP firm’s site was compromised and used to spread data-stealing malware to its users. Likewise, in 2014, the Operation Snowman campaign—which seems to have a state-backed origin—attempted to infect users of a U.S. veterans’ portal in order to gain access to visitors from government, defense, and related fields. Rounding up the list, in 2021, cybercriminals attacked regional publications focusing on energy, using the publications to spread malware to company officials and engineers working on critical infrastructure, as well as to steal data from their systems. These attacks show the widespread and dangerous impact of watering hole attacks in the world of cybersecurity.

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Detection Issues  

Due to the following reasons, traditional approaches to security fail to detect watering hole attacks:  

• Use of Authentic Websites: Attacks involving trusted and popular domains evade detection via blacklisting.  
• Encrypted Traffic: Delivering payloads over HTTPS conceals malicious scripts from being inspected at the network level.  
• Fileless Methods: Using in-memory execution is a modern campaign technique, and detection based on signatures is futile.

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Mitigation Strategies

To effectively neutralize the threat of watering hole attacks, an organization should implement a defense-in-depth strategy that incorporates the following elements:

1. Patch Management and Hardening - 

• Conduct routine updates on operating systems, web browsers, and extensions to eliminate exploit opportunities. 
• Either remove or reduce the use of high-risk elements such as Flash and Java, if feasible. 

2. Network Segmentation - Minimize lateral movement by isolating critical systems from the general user network.
3. Behavioral Analytics - Implement Endpoint Detection and Response (EDR) tools to oversee unusual behaviors on processes—for example, script execution or dubious outgoing connections. 
4. DNS Filtering and Web Isolation - Implement DNS-layer security to deny access to known malicious domains and use browser isolation for dangerous sites. 
5. Threat Intelligence Integration - Track watering hole threats and campaigns for indicators of compromise (IoCs) on advisories and threat feeds.
6. Multi-Layer Email and Web Security - Use web gateways integrated with dynamic content scanning, heuristic analysis, and sandboxing. 
7. Zero Trust Architecture - Apply least privilege access, require device attestation, and continuous authentication for accessing sensitive resources.

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Incident Response Best Practices 

• Forensic Analysis: Check affected endpoints for any mechanisms set up for persistence and communication with C2 servers. 
• Log Review: Look through proxy, DNS, and firewall logs to detect suspicious traffic. 
• Threat Hunting: Search your environment for known Indicators of Compromise (IoCs) related to recent watering hole attacks. 
• User Awareness Training: Help employees understand the dangers related to visiting external industry websites and promote safe browsing practices. 

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The Immediate Need for Action

The adoption of cloud computing and remote working models has significantly increased the attack surface for watering hole attacks. Trust and healthcare sectors are increasingly targeted by nation-state groups and cybercrime gangs using this technique. Not taking action may lead to data leaks, legal fines, and break-ins through the supply chain, which damage the trustworthiness and operational capacity of the enterprise.

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Conclusion  

Watering hole attacks demonstrate how phishing attacks evolve from a broad attack to a very specific, trust-based attack. Protecting against these advanced attacks requires the zero-trust mindset, adaptive defenses, and continuous monitoring, which is multicentral security. Advanced response measures, proactive threat intelligence, and detection technologies integration enable organizations to turn this silent threat from a lurking predator to a manageable risk.

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References

• https://www.fortinet.com/resources/cyberglossary/watering-hole-attack
• https://en.wikipedia.org/wiki/Watering_hole_attack
• https://www.proofpoint.com/us/threat-reference/watering-hole
• https://www.techtarget.com/searchsecurity/definition/watering-hole-attack

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Introduction

The mysteries of the universe have been a subject of curiosity for humans over thousands of years. To solve these unfolding mysteries of the universe, astrophysicists are always busy, and with the growing technology this seems to be achievable. Recently, with the help of Artificial Intelligence (AI), scientists have discovered the depths of the cosmos. AI has revealed the secret equation that properly “weighs” galaxy clusters. This groundbreaking discovery not only sheds light on the formation and behavior of these clusters but also marks a turning point in the investigation and discoveries of new cosmos. Scientists and AI have collaborated to uncover an astounding 430,000 galaxies strewn throughout the cosmos. The large haul includes 30,000 ring galaxies, which are considered the most unusual of all galaxy forms. The discoveries are the first outcomes of the "GALAXY CRUISE" citizen science initiative. They were given by 10,000 volunteers who sifted through data from the Subaru Telescope. After training the AI on 20,000 human-classified galaxies, scientists released it loose on 700,000 galaxies from the Subaru data. 

Brief Analysis

A group of astronomers from the National Astronomical Observatory of Japan (NAOJ) have successfully applied AI to ultra-wide field-of-view images captured by the Subaru Telescope. The researchers achieved a high accuracy rate in finding and classifying spiral galaxies, with the technique being used alongside citizen science for future discoveries.

Astronomers are increasingly using AI to analyse and clean raw astronomical images for scientific research. This involves feeding photos of galaxies into neural network algorithms, which can identify patterns in real data more quickly and less prone to error than manual classification. These networks have numerous interconnected nodes and can recognise patterns, with algorithms now 98% accurate in categorising galaxies.

Another application of AI is to explore the nature of the universe, particularly dark matter and dark energy, which make up over 95% energy of the universe. The quantity and changes in these elements have significant implications for everything from galaxy arrangement.

AI is capable of analysing massive amounts of data, as training data for dark matter and energy comes from complex computer simulations. The neural network is fed these findings to learn about the changing parameters of the universe, allowing cosmologists to target the network towards actual data.

These methods are becoming increasingly important as astronomical observatories generate enormous amounts of data. High-resolution photographs of the sky will be produced from over 60 petabytes of raw data by the Vera C. AI-assisted computers are being utilized for this.

Data annotation techniques for training neural networks include simple tagging and more advanced types like image classification, which classify an image to understand it as a whole. More advanced data annotation methods, such as semantic segmentation, involve grouping an image into clusters and giving each cluster a label.

This way, AI is being used for space exploration and is becoming a crucial tool. It also enables the processing and analysis of vast amounts of data. This advanced technology is fostering the understanding of the universe. However, clear policy guidelines and ethical use of technology should be prioritized while harnessing the true potential of contemporary technology. 

Policy Recommendation

• Real-Time Data Sharing and Collaboration - Effective policies and frameworks should be established to promote real-time data sharing among astronomers, AI developers and research institutes. Open access to astronomical data should be encouraged to facilitate better innovation and bolster the application of AI in space exploration. 
  

• Ethical AI Use - Proper guidelines and a well-structured ethical framework can facilitate judicious AI use in space exploration. The framework can play a critical role in addressing AI issues pertaining to data privacy, AI Algorithm bias and transparent decision-making processes involving AI-based tech. 
• Investing in Research and Development (R&D) in the AI sector - Government and corporate giants should prioritise this opportunity to capitalise on the avenue of AI R&D in the field of space tech and exploration. Such as funding initiatives focusing on developing AI algorithms coded for processing astronomical data, optimising telescope operations and detecting celestial bodies.
• Citizen Science and Public Engagement - Promotion of citizen science initiatives can allow better leverage of AI tools to involve the public in astronomical research. Prominent examples include the SETI @ Home program (Search for Extraterrestrial Intelligence), encouraging better outreach to educate and engage citizens in AI-enabled discovery programs such as the identification of exoplanets, classification of galaxies and discovery of life beyond earth through detecting anomalies in radio waves. 
• Education and Training - Training programs should be implemented to educate astronomers in AI techniques and the intricacies of data science. There is a need to foster collaboration between AI experts, data scientists and astronomers to harness the full potential of AI in space exploration. 
• Bolster Computing Infrastructure - Authorities should ensure proper computing infrastructure should be implemented to facilitate better application of AI in astronomy. This further calls for greater investment in high-performance computing devices and structures to process large amounts of data and AI modelling to analyze astronomical data. 

Conclusion

AI has seen an expansive growth in the field of space exploration. As seen, its multifaceted use cases include discovering new galaxies and classifying celestial objects by analyzing the changing parameters of outer space. Nevertheless, to fully harness its potential, robust policy and regulatory initiatives are required to bolster real-time data sharing not just within the scientific community but also between nations. Policy considerations such as investment in research, promoting citizen scientific initiatives and ensuring education and funding for astronomers. A critical aspect is improving key computing infrastructure, which is crucial for processing the vast amount of data generated by astronomical observatories. 

References

• https://mindy-support.com/news-post/astronomers-are-using-ai-to-make-discoveries/
• https://www.space.com/citizen-scientists-artificial-intelligence-galaxy-discovery
• https://www.sciencedaily.com/releases/2024/03/240325114118.htm
• https://phys.org/news/2023-03-artificial-intelligence-secret-equation-galaxy.html
• https://www.space.com/astronomy-research-ai-future

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