#FactCheck - AI-Generated Image Falsely Shared as Bees Attacking Shankaracharya Swami Avimukteshwaranand Saraswati

Introduction

Over the past few months, cybercriminals have upped the ante with highly complex methods targeting innocent users. One such scam is a new one that exploits WhatsApp users in India and globally. A seemingly harmless picture message is the entry point to stealing money and data. Downloading seemingly harmless images via WhatsApp can unknowingly install malware on your smartphone. This malicious software can compromise your banking applications, steal passwords, and expose your personal identity. With such malware-laced instant messages now making headlines, it is advised for netizens to exercise extreme caution while handling media received on messaging platforms.

How Does the WhatsApp Photo Scam Work?

Cybercriminals began embedding malicious code in images being shared on WhatsApp. Here is how the attack typically works:

1.  The user receives a WhatsApp message from an unknown number with an image.
2. The image may appear harmless—a greeting, meme, or holiday card—but it's packed with hidden malware.
3. When the user taps to download the image, the malware gets installed on the phone in silent mode.
4. Once installed, the malware is able to capture keystrokes, read messages, swipe banking applications, swipe credentials, and even hijack device functionality.
5. Allegedly, in its advanced versions, it can exploit two-factor authentication (2FA) and make unauthorised transactions.

Who Is Being Targeted?

This scam targets both Android and iPhone users, with a focus on vulnerable groups like senior citizens, busy workers during peak seasons, and members of WhatsApp groups flooded with forwarded messages. Experts warn that a single careless click is enough to compromise an entire device.

What Can the Malware Do?

Upon installation, the malware grants hackers a terrifying level of access:

• Track user activity via keylogging or screen capture.
• Pilfer banking credentials and initiate fund transfers automatically.
• Obtain SMS or app-based 2FA codes, evading security layers.
• Clone identity information, such as Aadhaar details, digital wallets, and email access.
• Control device operations, including the camera and microphone.

This level of intrusion can result in not just financial loss but long-term digital impersonation or blackmail.

Safety Measures for WhatsApp Users

1. Never Download Media from Suspicious Numbers

Do not download any files or pictures, even if the content appears to be familiar, unless you have faith in the source. Spread this advice among family members, particularly the older generation.

2. Turn off Auto-Download in WhatsApp Settings

Navigate to Settings > Storage and Data > Media Auto-Download. Switch off auto-download for mobile data, Wi-Fi, and roaming.

3. Install and Update Mobile Security Apps

Ensure your phone is equipped with a good antivirus or mobile security app that is updated from time to time.

4. Block and Report Potential Scammers

WhatsApp offers the ability to block and report senders in a straightforward manner. This ensures that it notifies the platform and others as well.

5. Educate Your Community

Share your knowledge on cyber hygiene with family, friends, and colleagues. Many people fall victim simply because they aren't aware of the risks, staying informed and spreading the word can make a big difference.

Advisories and Response

The Indian Cybercrime Coordination Centre (I4C) and other state cyber cells have released several alerts on increasing fraud via messaging platforms. Law enforcement agencies are appealing to the public not only to be vigilant but also to report any incident at once through the National Cybercrime Reporting Portal (cybercrime.gov.in).

Conclusion

The WhatsApp photo scam is a stark reminder that not all dangers come with a warning. A picture can now be a Trojan horse, propagating silently from device to device and draining personal money. Do not engage with unwanted media, refresh and update your privacy and security settings. Cyber criminals survive on neglect and ignorance, but through digital hygiene and vigilance, we can fight against these types of emerging threats.

References

• https://www.opswat.com/blog/how-emerging-image-based-malware-attacks-threaten-enterprise-defenses
• https://www.indiatvnews.com/technology/news/whatsapp-photo-scam-alert-downloading-random-images-could-cost-you-big-2025-05-06-988855
• https://www.hindustantimes.com/india-news/what-is-the-whatsapp-image-scam-and-how-can-you-stay-safe-from-it-101744353412848.html
• https://faq.whatsapp.com/898107234497196/?helpref=uf_share
• https://www.welivesecurity.com/en/malware/malware-hiding-in-pictures-more-likely-than-you-think/
• https://faq.whatsapp.com/573786218075805
• https://www.reversinglabs.com/blog/malware-in-images

‍

Introduction

Language is an important part of human communication and a basic aspect of human understanding. The world is a global market and this diversity of languages has led to difficulties in engaging for effective communication and collaboration.  India alone has 22 official languages and countless regional languages and dialects which change every few hundred kilometres. 

AI has emerged to overcome this challenge of language barriers and has stepped into bringing about a transformative shift. It is leading the charge in breaking down traditional barriers and paving the way for more inclusive and seamless global interactions. AI’s integration into language translation has revolutionised the field, addressing longstanding challenges associated with traditional human-centric approaches. The limitations posed by reliance on human translators, such as time constraints, resource limitations, and the inability to handle the data efficiently, paved the way for the furtherance of the transformative impact of AI. However, challenges such as maintaining translation accuracy, addressing cultural nuances, and ensuring data privacy require careful attention to realize AI's full potential.

AI Technologies Bridging Language Gaps

AI tools have transformed translation, transcription, and natural language processing, providing language solutions. They can instantly translate text, transcribe audio, and analyse linguistic nuances, enabling effective cross-cultural communication. Moreover, AI's adaptive capabilities have facilitated language learning, allowing individuals to grasp new languages and adapt their communication styles to diverse cultural contexts.  

AI technologies are making information and services more accessible to non-native speakers and are impacting global business, allowing effective engagement. Building on this transformative potential, various AI tools are now used to bridge language gaps in real-world applications. Some examples of AI’s role in bridging the language gap are:

• Real-time translation tools that enable instant communication by providing translations between languages on the fly. This would help in effortless conversations with clients and partners worldwide. 
• Tools such as ‘speech-to-text’ and ‘text-to-speech’ like Murf AI, Lovo AI, and ElevenLabs work towards converting spoken language into written text and vice versa. These technologies have led to streamlined interactions, boosted productivity, and clarity in global business dealings. Businesses can extract important information, insights, and action points from meetings, interviews, and presentations. 
• AI chatbots like MyGov Corona Helpdesk, WhatsApp Chatbot by the Government of India, Railway Food Order & Delivery by Zoop India, and Gen AI-Powered 'Elena' by Indian School of Business (ISB) are some examples that act as intelligent virtual assistants that engage in real-time conversations, by answering queries, providing information, and facilitating transactions. They offer round-the-clock support, freeing human resources and enhancing customer experience across language barriers.

Challenges and Limitations of AI Translation

While AI’s integration in combatting language barriers is commendable, there are challenges and limitations in overcoming this endeavour. These challenges and limitations are:

• AI translation systems face several challenges in handling accuracy, context, nuance, and idiomatic expressions. 
• These systems may encounter struggles with complex or specialised language, along with those towards regional dialects, leading to potential misinterpretations. 
• Biases within the AI models can further affect the inclusivity of translations, often favouring dominant languages and cultural norms while marginalising others. 
• Ethical concerns, regarding privacy and data security, particularly when sensitive information is processed have also been arising. 
• Ensuring user consent and protecting data integrity are essential to addressing these concerns. As AI continues to evolve, ongoing efforts are needed to improve fairness, transparency, and the cultural sensitivity of translation systems.

AI’s Future  in Language Translation

AI technologies are moving towards improving translation accuracy and contextual understanding, allowing AI models to grasp cultural nuances and idiomatic expressions better. This can significantly enhance communication across diverse languages, fostering multilingual interactions and global collaboration in business, education, and diplomacy. Improvements in AI tech are taking place ubiquitous, and models like GPT and Google Translate are now better at capturing nuances, idioms, and cultural differences, reducing errors. AI tools like the Microsoft Translator help cross-continental teams work seamlessly by enhancing their productivity and inclusivity. 

AI is capable of offering real-time translation in healthcare, education, and public services. This would enable more inclusive environments and bridging communication gaps. For example in the healthcare system, AI-powered translation tools are helping the industry to provide better care by crossing linguistic barriers. Doctors can now communicate with patients who speak different languages, ensuring equitable care even with linguistic boundaries. 

Conclusion

We live in a world where diverse languages pose significant challenges to global communication, and AI has emerged as a powerful tool to bridge these gaps. AI is paving the way for more inclusive and seamless interactions by revolutionising language translation, transcription, and natural language processing. Its ability to break down barriers caused by linguistic diversity ensures effective communication in fields ranging from business to healthcare. Despite challenges like accuracy and cultural sensitivity, the potential for AI to continuously improve is undeniable. As AI technologies evolve, they stand as the key to overcoming language barriers and fostering a more connected and inclusive global community.

Notwithstanding AI's potential abilities to overcome language barriers through advances in natural language processing and translation, cybersecurity and data privacy must always come first. The same technologies that make it easier to communicate globally also put private information at risk. The likelihood of data breaches, personal information misuse, and compromised communication rises in the absence of strict cybersecurity safeguards. Thus, in order to guarantee safe and reliable international Interactions as AI develops, it is crucial to strike a balance between innovation and privacy protection.

References

• https://megasisnetwork.medium.com/ai-and-language-translation-breaking-down-language-barriers-47873cfdb13b
• https://pubmed.ncbi.nlm.nih.gov/38099504/ 
• https://www.linkedin.com/pulse/breaking-language-barriers-ai-era-leveraging-tools-business-a-rad
• https://www.researchgate.net/publication/373842132_Breaking_Down_Barriers_With_Artificial_Intelligence_AI_Cross-Cultural_Communication_in_Foreign_Language_Education

‍

Introduction

Ransomware is one of the serious cyber threats as it causes consequences such as financial losses, data loss, and reputation damage. Recently in 2023, a new ransomware called Akira ransomware emerged or surfaced. It has targeted and affected various enterprises or industries, such as BSFI, Construction, Education, Healthcare, Manufacturing, real estate and consulting, primarily based in the United States. Akira ransomware has targeted industries by exploiting the double-extortion technique by exfiltrating and encrypting sensitive data and imposing the threat on victims to leak or sell the data on the dark web if the ransom is not paid. The Akira ransomware gang has extorted a ransom ranging from $200,000 to millions of dollars.

Uncovering the Akira Ransomware operations and their targets

Akira ransomware gang has gained unauthorised access to computer systems by using sophisticated encryption algorithms to encrypt the Data. When such an encryption process is completed, the affected device or network will not be able to access its files or use its data.

The affected files by Akira ransomware showed the extension named “.akira”, and the file’s icon shows blank white pages. The Akira ransomware has developed a data leak site so as to extort victims.  And it has also used the ransom note named “akira_readme.txt”.

Akira ransomware steeled the corporate data of various organisations, which the Akira ransomware gang used as leverage while threatening the affected organisation with high ransom demands. Akira Ransomware gang threaten the victims to leak their sensitive data or corporate data in the public domain if the demanded ransom amount is not paid. Akira ransomware gang has leaked the data of four organisations and the size ranges from 5.9GB to 259 GB of data leakage.

Akira Ransomware gang communicating with Victims

The Akira ransomware has provided a unique negotiation password to each victim to initiate communication. Where the ransomware gang deployed a chat system for the purpose of negotiation and demanding ransom from the affected organisations. They have deployed a ransom note as akira_readme.txt so as to provide information as to how they have affected the victim’s files or data along with links to the Akira data leak site and negotiation site.

How Akira Ransomware is different from Pegasus Spyware

Pegasus, developed in the year 2011, belongs to one of the most powerful family of spyware. Once it has infected, it can spear your phone and your text messages or emails. It has the ability to turn your phone into a surveillance device, from copying your messages to harvesting your photos and recording calls. In fact, it has the ability to record you through your phone camera or record your conversation by using your microphone, it also has the ability to track your pinpoint location. In contrast, newly Akira ransomware affects encrypting your files and preventing access to your Data and then asking for ransom n the pretext of leaking your data or for decryption.

How to recover from malware attacks

If affected by such type of malware attack, you can use anti-malware tools such as SpyHunter 5 or Malwarebytes to scan your system. These are the security software which can scan your system and remove suspicious malware files and entries. If you are unable to perform the scan or antivirus in normal mode due to malware in your system, you can use it in Safe Mode. And try to find a relevant decryptor which can help you to recover your files. Do not fall into a ransomware gang’s trap because there is no guarantee that they will help you to recover or will not leak your data after paying the ransom amount.

Best practices to be safe from such ransomware attacks

Conclusion

The Akira ransomware operation poses serious threats to various organisations worldwide. There is a high need to employ robust cybersecurity measures to safeguard networks and sensitive data. Organisations must ensure to keep their software system updated and backed up to a secure network on a regular basis. Paying the ransom is illegal mean instead you should report the incident to law enforcement agencies and can consult with cybersecurity professionals for the recovery method.