#FactCheck - Viral Image of Bridge claims to be of Mumbai, but in reality it's located in Qingdao, China
Executive Summary:
The photograph of a bridge allegedly in Mumbai, India circulated through social media was found to be false. Through investigations such as reverse image searches, examination of similar videos, and comparison with reputable news sources and google images, it has been found that the bridge in the viral photo is the Qingdao Jiaozhou Bay Bridge located in Qingdao, China. Multiple pieces of evidence, including matching architectural features and corroborating videos tell us that the bridge is not from Mumbai. No credible reports or sources have been found to prove the existence of a similar bridge in Mumbai.
Claims:
Social media users claim a viral image of the bridge is from Mumbai.
Fact Check:
Once the image was received, it was investigated under the reverse image search to find any lead or any information related to it. We found an image published by Mirror News media outlet, though we are still unsure but we can see the same upper pillars and the foundation pillars with the same color i.e white in the viral image.
The name of the Bridge is Jiaozhou Bay Bridge located in China, which connects the eastern port city of the country to an offshore island named Huangdao.
Taking a cue from this we then searched for the Bridge to find any other relatable images or videos. We found a YouTube Video uploaded by a channel named xuxiaopang, which has some similar structures like pillars and road design.
In reverse image search, we found another news article that tells about the same bridge in China, which is more likely similar looking.
Upon lack of evidence and credible sources for opening a similar bridge in Mumbai, and after a thorough investigation we concluded that the claim made in the viral image is misleading and false. It’s a bridge located in China not in Mumbai.
Conclusion:
In conclusion, after fact-checking it was found that the viral image of the bridge allegedly in Mumbai, India was claimed to be false. The bridge in the picture climbed to be Qingdao Jiaozhou Bay Bridge actually happened to be located in Qingdao, China. Several sources such as reverse image searches, videos, and reliable news outlets prove the same. No evidence exists to suggest that there is such a bridge like that in Mumbai. Therefore, this claim is false because the actual bridge is in China, not in Mumbai.
- Claim: The bridge seen in the popular social media posts is in Mumbai.
- Claimed on: X (formerly known as Twitter), Facebook,
- Fact Check: Fake & Misleading
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Overview:
After the blackout on July 19, 2024, which affected CrowdStrike’s services worldwide, cybercriminals began to launch many phishing attacks and distribute malware. These activities mainly affect CrowdStrike customers, using the confusion as a way to extort information through fake support sites. The analysis carried out by the Research Wing of CyberPeace and Autobot Infosec has identified several phishing links and malicious campaigns.
The Exploitation:
Cyber adversaries have registered domains that are similar to CrowdStrike’s brand and have opened fake accounts on social media platforms. These are fake platforms that are employed to defraud users into surrendering their personal and sensitive details for use in other fraudulent activities.
Phishing Campaign Links:
- crowdstrike-helpdesk[.]com
- crowdstrikebluescreen[.]com
- crowdstrike-bsod[.]com
- crowdstrikedown[.]site
- crowdstrike0day[.]com
- crowdstrikedoomsday[.]com
- crowdstrikefix[.]com
- crashstrike[.]com
- crowdstriketoken[.]com
- fix-crowdstrike-bsod[.]com
- bsodsm8r[.]xamzgjedu[.]com
- crowdstrikebsodfix[.]blob[.]core[.]windows[.]net
- crowdstrikecommuication[.]app
- fix-crowdstrike-apocalypse[.]com
- supportportal-crowdstrike-com[.]translate[.]goog
- crowdstrike-cloudtrail-storage-bb-126d5e[.]s3[.]us-west-1[.]amazonaws[.]com
- crowdstrikeoutage[.]info
- clownstrike[.]co[.]uk
- crowdstrikebsod[.]com
- whatiscrowdstrike[.]com
- clownstrike[.]co
- microsoftcrowdstrike[.]com
- crowdfalcon-immed-update[.]com
- crowdstuck[.]org
- failstrike[.]com
- winsstrike[.]com
- crowdpass[.]com
In one case, a PDF file is being circulated with CrowdStrike branding, saying ‘Download The Updater,’ which is a link to a ZIP file. The ZIP file is a compressed file that has an executable file with a virus. This is a clear sign that the hackers are out to take advantage of the current situation by releasing the malware as an update.
In another case, there is a malicious Microsoft Word document that is currently being shared, which claims to offer a solution on how to deal with this CrowdStrike BSOD bug. But there is a hidden risk in the document. When users follow the instructions and enable the embedded macro, it triggers the download of an information-stealing malware from a remote host. This is a form of malware that is used to steal information and is not well recognized by most security software. Also it sends the stolen data to the samesame remote host but with different port number, which likey works as the CnC server for the campaign.
- Name New_Recovery_Tool_to_help_with_CrowdStrike_issue_impacting_Windows[.]docm
- MD5 dd2100dfa067caae416b885637adc4ef
- SHA-1 499f8881f4927e7b4a1a0448f62c60741ea6d44b
- SHA-256 803727ccdf441e49096f3fd48107a5fe55c56c080f46773cd649c9e55ec1be61
- URLS http://172.104.160[.]126:8099/payload2.txt, http://172.104.160[.]126:5000/Uploadss
Recent Outage Impact:
On July 19, 2024, CrowdStrike faced a global outage that originated from an update of its Falcon Sensor security software. This outage affected many government organizations and companies in different industries, such as finance, media, and telecommunications. The event led to numerous complaints from the users who experienced problems like blue screen of death and system failure. Although, CrowdStrike has admitted to the problem and is in the process of fixing it.
Preventive Measures:
- Organize regular awareness sessions to educate the employees about the phishing techniques and how they can avoid the phishing scams, emails, links, and websites.
- MFA should be used for login to the sensitive accounts and systems for an improvement on the security levels.
- Make sure all security applications including the antivirus and anti-malware are up to date to help in the detection of phishing scams.
- This includes putting in place of measures such as alert on account activity or login patterns to facilitate early detection of phishing attempts.
- Encourage employees and users to inform the IT department as soon as they have any suspicions regarding phishing attempts.
Conclusion:
The recent CrowdStrike outage is a perfect example of how cybercriminals take advantage of the situation and user’s confusion and anxiety. Thus, people and organizations can keep themselves from these threats and maintain the confidentiality of their information by being cautious and adhering to the proper standards. To get the current information on the BSOD problem and the detailed instructions on its solution, visit CrowdStrike’s support center. Reported problems should be handled with caution and regular backup should be made to minimize the effects.
References:
- https://app.any.run/tasks/2c0ffc87-4059-4d6f-8306-1258cf33aa54/
- https://app.any.run/tasks/48e18e33-2007-49a8-aa60-d04c21e8fa11
- https://www.virustotal.com/gui/file/19001dd441e50233d7f0addb4fcd405a70ac3d5e310ff20b331d6f1a29c634f0/relations
- https://www.virustotal.com/gui/file/803727ccdf441e49096f3fd48107a5fe55c56c080f46773cd649c9e55ec1be61/detection
- https://www.joesandbox.com/analysis/1478411#iocs
Introduction
THE DIGITAL PERSONAL DATA PROTECTION BILL, 2022 Released for Public Consultation on November 18, 2022THE DIGITAL PERSONAL DATA PROTECTION BILL, 2023Tabled at LokSabha on August 03. 2023Personal data may be processed only for a lawful purpose for which an individual has given consent. Consent may be deemed in certain cases.The 2023 bill imposes reasonable obligations on data fiduciaries and data processors to safeguard digital personal data.There is a Data Protection Board under the 2022 bill to deal with the non-compliance of the Act.Under the 2023 bill, there is the Establishment of a new Data Protection Board which will ensure compliance, remedies and penalties.
Under the new bill, the Board has been entrusted with the power of a civil court, such as the power to take cognisance in response to personal data breaches, investigate complaints, imposing penalties. Additionally, the Board can issue directions to ensure compliance with the act.The 2022 Bill grants certain rights to individuals, such as the right to obtain information, seek correction and erasure, and grievance redressal.The 2023 bill also grants More Rights to Individuals and establishes a balance between user protection and growing innovations. The bill creates a transparent and accountable data governance framework by giving more rights to individuals. In the 2023 bill, there is an Incorporation of Business-friendly provisions by removing criminal penalties for non-compliance and facilitating international data transfers.
The new 2023 bill balances out fundamental privacy rights and puts reasonable limitations on those rights.Under the 2022 bill, Personal data can be processed for a lawful purpose for which an individual has given his consent. And there was a concept of deemed consent.The new data protection board will carefully examine the instance of non-compliance by imposing penalties on non-compiler.The bill does not provide any express clarity in regards to compensation to be granted to the Data Principal in case of a Data Breach.Under 2023 Deemed consent is there in its new form as ‘Legitimate Users’.The 2022 bill allowed the transfer of personal data to locations notified by the government.There is an introduction of the negative list, which restricts cross-data transfer.
Introduction
Microsoft has unveiled its ambitious roadmap for developing a quantum supercomputer with AI features, acknowledging the transformative power of quantum computing in solving complex societal challenges. Quantum computing has the potential to revolutionise AI by enhancing its capabilities and enabling breakthroughs in different fields. Microsoft’s groundbreaking announcement of its plans to develop a quantum supercomputer, its potential applications, and the implications for the future of artificial intelligence (AI). However, there is a need for regulation in the realms of quantum computing and AI and significant policies and considerations associated with these transformative technologies. This technological advancement will help in the successful development and deployment of quantum computing, along with the potential benefits and challenges associated with its implementation.
What isQuantum computing?
Quantum computing is an emerging field of computer science and technology that utilises principles from quantum mechanics to perform complex calculations and solve certain types of problems more efficiently than classical computers. While classical computers store and process information using bits, quantum computers use quantum bits or qubits.
Interconnected Future
Quantum computing promises to significantly expand AI’s capabilities beyond its current limitations. Integrating these two technologies could lead to profound advancements in various sectors, including healthcare, finance, and cybersecurity. Quantum computing and artificial intelligence (AI) are two rapidly evolving fields that have the potential to revolutionise technology and reshape various industries. This section explores the interdependence of quantum computing and AI, highlighting how integrating these two technologies could lead to profound advancements across sectors such as healthcare, finance, and cybersecurity.
- Enhancing AI Capabilities:
Quantum computing holds the promise of significantly expanding the capabilities of AI systems. Traditional computers, based on classical physics and binary logic, need help solving complex problems due to the exponential growth of computational requirements. Quantum computing, on the other hand, leverages the principles of quantum mechanics to perform computations on quantum bits or qubits, which can exist in multiple states simultaneously. This inherent parallelism and superposition property of qubits could potentially accelerate AI algorithms and enable more efficient processing of vast amounts of data.
- Solving Complex Problems:
The integration of quantum computing and AI has the potential to tackle complex problems that are currently beyond the reach of classical computing methods. Quantum machine learning algorithms, for example, could leverage quantum superposition and entanglement to analyse and classify large datasets more effectively. This could have significant applications in healthcare, where AI-powered quantum systems could aid in drug discovery, disease diagnosis, and personalised medicine by processing vast amounts of genomic and clinical data.
- Advancements in Finance and Optimisation:
The financial sector can benefit significantly from integrating quantum computing and AI. Quantum algorithms can be employed to optimise portfolios, improve risk analysis models, and enhance trading strategies. By harnessing the power of quantum machine learning, financial institutions can make more accurate predictions and informed decisions, leading to increased efficiency and reduced risks.
- Strengthening Cybersecurity:
Quantum computing can also play a pivotal role in bolstering cybersecurity defences. Quantum techniques can be employed to develop new cryptographic protocols that are resistant to quantum attacks. In conjunction with quantum computing, AI can further enhance cybersecurity by analysing massive amounts of network traffic and identifying potential vulnerabilities or anomalies in real time, enabling proactive threat mitigation.
- Quantum-Inspired AI:
Beyond the direct integration of quantum computing and AI, quantum-inspired algorithms are also being explored. These algorithms, designed to run on classical computers, draw inspiration from quantum principles and can improve performance in specific AI tasks. Quantum-inspired optimisation algorithms, for instance, can help solve complex optimisation problems more efficiently, enabling better resource allocation, supply chain management, and scheduling in various industries.
How Quantum Computing and AI Should be Regulated-
As quantum computing and artificial intelligence (AI) continues to advance, questions arise regarding the need for regulations to govern these technologies. There is debate surrounding the regulation of quantum computing and AI, considering the potential risks, ethical implications, and the balance between innovation and societal protection.
- Assessing Potential Risks: Quantum computing and AI bring unprecedented capabilities that can significantly impact various aspects of society. However, they also pose potential risks, such as unintended consequences, privacy breaches, and algorithmic biases. Regulation can help identify and mitigate these risks, ensuring these technologies’ responsible development and deployment.
- Ethical Implications: AI and quantum computing raise ethical concerns related to privacy, bias, accountability, and the impact on human autonomy. For AI, issues such as algorithmic fairness, transparency, and decision-making accountability must be addressed. Quantum computing, with its potential to break current encryption methods, requires regulatory measures to protect sensitive information. Ethical guidelines and regulations can provide a framework to address these concerns and promote responsible innovation.
- Balancing Innovation and Regulation: Regulating quantum computing and AI involves balancing fostering innovation and protecting society’s interests. Excessive regulation could stifle technological advancements, hinder research, and impede economic growth. On the other hand, a lack of regulation may lead to the proliferation of unsafe or unethical applications. A thoughtful and adaptive regulatory approach is necessary, considering the dynamic nature of these technologies and allowing for iterative improvements based on evolving understanding and risks.
- International Collaboration: Given the global nature of quantum computing and AI, international collaboration in regulation is essential. Harmonising regulatory frameworks can avoid fragmented approaches, ensure consistency, and facilitate ethical and responsible practices across borders. Collaborative efforts can also address data privacy, security, and cross-border data flow challenges, enabling a more unified and cooperative approach towards regulation.
- Regulatory Strategies: Regulatory strategies for quantum computing and AI should adopt a multidisciplinary approach involving stakeholders from academia, industry, policymakers, and the public. Key considerations include:
- Risk-based Approach: Regulations should focus on high-risk applications while allowing low-risk experimentation and development space.
- Transparency and Explainability: AI systems should be transparent and explainable to enable accountability and address concerns about bias, discrimination, and decision-making processes.
- Privacy Protection: Regulations should safeguard individual privacy rights, especially in quantum computing, where current encryption methods may be vulnerable.
- Testing and Certification: Establishing standards for the testing and certification of AI systems can ensure their reliability, safety, and adherence to ethical principles.
- Continuous Monitoring and Adaptation: Regulatory frameworks should be dynamic, regularly reviewed, and adapted to keep pace with the evolving landscape of quantum computing and AI.
Conclusion:
Integrating quantum computing and AI holds immense potential for advancing technology across diverse domains. Quantum computing can enhance the capabilities of AI systems, enabling the solution of complex problems, accelerating data processing, and revolutionising industries such as healthcare, finance, and cybersecurity. As research and development in these fields progress, collaborative efforts among researchers, industry experts, and policymakers will be crucial in harnessing the synergies between quantum computing and AI to drive innovation and shape a transformative future.The regulation of quantum computing and AI is a complex and ongoing discussion. Striking the right balance between fostering innovation, protecting societal interests, and addressing ethical concerns is crucial. A collaborative, multidisciplinary approach to regulation, considering international cooperation, risk assessment, transparency, privacy protection, and continuous monitoring, is necessary to ensure these transformative technologies' responsible development and deployment.
