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Cybersecurity

Think It’s A Traffic E-Memo? This Ahmedabad Case Shows How The Scam Works

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Two Ahmedabad businessmen lost a combined ₹6.79 lakh after allegedly falling victim to a cyber fraud involving fake traffic e-memo messages. In separate incidents reported from Isanpur and Baherampura, fraudsters used vehicle numbers in messages to make the alerts appear genuine and allegedly gained access to the victims’ mobile phones after they opened the links.

How Did The Isanpur Businessman Lose ₹4.58 Lakh?

Kunal Batukbhai Prajapati, 38, who runs Kunal Infotech in Isanpur, received a message from an unknown number regarding a ₹1,000 traffic memo linked to vehicle number GJ27AP6801.

Prajapati clicked on the link included in the message but did not make any payment. Soon afterwards, his phone began receiving repeated OTP messages from different numbers.

Later that night, he received alerts about several transactions from his bank account. He discovered that ₹4.58 lakh had been withdrawn through six transactions.

What Happened After The Fraud Was Detected?

After realising what had happened, Prajapati switched off his mobile phone and contacted the 1930 cybercrime helpline. He subsequently filed a complaint at the Isanpur police station.

How Was A Baherampura Resident Duped Of ₹2.21 Lakh?

In the second incident, a 48-year-old Baherampura resident received a WhatsApp message from an unknown sender claiming that an e-challan was pending against his two-wheeler.

The message contained his vehicle number and a link related to the alleged challan. When he opened the link, an application was downloaded onto his phone.

How Did The Fraudsters Gain Access To The Bank Account?

The man realised something was wrong only after receiving bank transaction alerts the following day. On checking his account, he found that ₹2.21 lakh had been taken out through multiple transactions.

The complaint alleges that the application gave the fraudsters access to the mobile phone, after which they carried out unauthorised transactions.

How Does The Fake E-Memo Scam Work?

The fraud begins with a message designed to look like an official traffic notice. Fraudsters use a vehicle owner’s registration number and claim that a fine, often for ₹500 or ₹1,000, remains unpaid.

The message contains a link directing the recipient to supposedly clear the fine. Instead of making a legitimate payment, victims may be prompted to download an APK application.

Once installed, such an application can potentially gain access to SMS messages and other information on the device. This can allow criminals to obtain sensitive banking information, including OTPs, and carry out transactions without the victim immediately noticing.

Both Ahmedabad cases were reported after the victims noticed unauthorised withdrawals. They contacted 1930, the cybercrime helpline, and approached the respective police stations.

What Should Vehicle Owners Do After Receiving Such Messages?

Cyber crime experts have urged citizens to be cautious about traffic fine messages received from unknown numbers and to avoid opening suspicious links or installing applications sent through such messages.

AI & Technology

Google Unveils Fairwind: Next-Gen AI Defense to Shield Critical Infrastructure from Cyber Threats

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Google has introduced its Fairwind Cybersecurity Program to provide advanced cybersecurity support to government entities, Google Cloud customers and partner organizations, with a focus on identifying, addressing and mitigating cyber threats.

What Is Google’s Fairwind Cybersecurity Program?

The program is designed to help organizations respond to evolving cyber threats, including automated attacks, software vulnerabilities and increasingly sophisticated threat actors. Google said the initiative will provide access to advanced artificial intelligence capabilities to assist security teams in detecting and responding to threats more efficiently.

The focus extends across both public and private organizations, with the aim of strengthening their ability to protect digital infrastructure from cyberattacks.

How Will Fairwind Help Organizations Tackle Cyber Threats?

A key component of Fairwind is access to Google’s Gemini AI models. The models are intended to support cybersecurity operations and help organizations proactively defend their information technology infrastructure.

Security teams can use AI capabilities to analyze large volumes of data, identify potential weaknesses and respond to emerging threats more quickly. The program could be particularly relevant for government agencies and critical infrastructure operators, where cyberattacks could disrupt essential services and expose sensitive information.

How Will Gemini AI Support Cybersecurity Operations?

Fairwind is also expected to focus on identifying and fixing vulnerabilities across public and private organizations. Instead of relying only on traditional, reactive cybersecurity measures, the initiative emphasizes prevention and continuous protection.

The approach is intended to help participating organizations identify vulnerabilities before they can be exploited by malicious actors, strengthening their overall security posture.

What Technologies Will Google Use Under Fairwind?

According to the program’s planned capabilities, Fairwind will incorporate Gemini 3.8 Flash Cyber along with CodeMender Harness to support vulnerability remediation at what Google describes as an agentic scale.

These capabilities are intended to automate parts of the vulnerability-patching process, potentially allowing organizations to address security weaknesses more quickly and efficiently.

Google Announces Wider Cybersecurity Investment

Alongside the Fairwind announcement, Google has released its U.S. Cybersecurity Impact Report, outlining the company’s broader investments in cybersecurity. The report details a $100 million global cybersecurity initiative aimed at improving cyber resilience among organizations and communities.

As part of this investment, approximately $36 million has been allocated to 35 cyber clinics. These clinics are intended to provide cybersecurity assistance to organizations that may have limited resources while facing significant cyber risks.

Which Organizations Will Benefit From Google’s Cybersecurity Support?

The cyber clinics are expected to support organizations in responding to cyber risks, including helping healthcare organizations recover from cyberattacks and assisting municipal utilities in strengthening their defenses against sophisticated threats, including state-sponsored threats.

Google’s broader cybersecurity efforts reflect the growing importance of cooperation between technology companies, governments and other organizations as digital systems become increasingly important to healthcare, utilities, public administration and other essential services.

With the Fairwind Cybersecurity Program and its wider cybersecurity investments, Google is combining artificial intelligence, automated vulnerability remediation and direct support for organizations as part of a more proactive approach to cyber defense.

The Road Ahead

As cyber threats become faster and more automated, manual security responses simply can’t keep up. Google’s fusion of agentic AI patching and direct community support offers a glimpse into the future of digital defense—where threats are stopped before they ever cause damage.

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Crime News

151 SIM Cards Linked to 212 Financial Fraud Complaints, Indore Police Launch Wider Probe

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Police in Madhya Pradesh’s Indore have busted a cyber fraud network allegedly operating through the buying and selling of SIM cards. The investigation revealed that one SIM card was passed from its registered holder to several other people for money before eventually being used in cyber fraud. Police have arrested Rajesh Chaudhary, 42, in connection with the case and are searching for Bhagwandas alias Nana, Himanshu Junwal and Ashish Sharma.

How Did 151 SIM Cards Get Linked to 212 Fraud Complaints?

The case came to light during verification of suspicious data received from the Indian Cyber Crime Coordination Centre. Police found that 151 suspicious SIM cards linked to 49 point-of-sale holders and SIM-selling agents in the Indore urban area had been used in 212 financial fraud complaints registered across different states and cities.

Following the finding, investigators began examining the suspected numbers, their registered holders and the people involved in issuing and transferring the SIM cards.

During the investigation, one suspicious SIM was traced to Rohit Dalve, 27, a resident of Swarnbag Colony. During questioning, Dalve told investigators that he had issued the SIM on March 15, 2026, after completing the required document verification.

The SIM was issued in the name of Rajesh Chaudhary, 42, of Indore. Police subsequently questioned Chaudhary, leading investigators to uncover the chain through which the SIM allegedly changed hands.

How Did One SIM Pass Through Multiple Hands?

According to police, Chaudhary had obtained the SIM using his Aadhaar card but later handed it over to Bhagwandas alias Nana for ₹200.

Bhagwandas allegedly passed the SIM to Himanshu Junwal for financial gain and received around ₹500 in return. Investigators found that Junwal subsequently handed the same SIM to Ashish Sharma, who allegedly used the number for cyber fraud.

The investigation therefore revealed a chain in which the SIM moved from its registered holder to several individuals in exchange for money before reaching the alleged fraudster.

Such repeated transfers can make it difficult for investigators to immediately establish the identity of the person actually operating a SIM during a cybercrime.

How Were Victims Allegedly Trapped With Clothing and Franchise Offers?

Investigators found that the suspicious number was allegedly used to contact people with offers of jeans and pants at wholesale prices.

The accused allegedly collected money from customers but failed to supply the promised goods. In another method, victims were allegedly offered franchises for wholesale clothing businesses and asked to make payments.

The case was also linked to a complaint filed by Anil Kumar Gupta, a resident of Kheri district in Uttar Pradesh. According to the complaint, the accused allegedly offered him a franchise for a wholesale jeans and pants business.

They allegedly demanded ₹30,000 for the franchise and collected ₹10,000 from him as part of the deal. However, neither the promised franchise nor the goods were provided. Gupta subsequently filed a complaint on the National Cyber Crime Reporting Portal on May 27, 2026.

Who Has Been Arrested and Who Is Still Being Searched For?

Based on the complaint and findings from the investigation, MIG police registered a case and initiated further action.

Rajesh Chaudhary has been arrested, while Bhagwandas alias Nana, Himanshu Junwal and Ashish Sharma remain absconding.

Police are now examining the roles allegedly played by each person in obtaining, transferring and ultimately using the SIM card.

Is There a Bigger SIM Network Behind the Cyber Frauds?

Investigators are examining whether the 151 suspicious SIM cards linked to 212 financial fraud complaints were operated by a single organised network or were being used by multiple cybercrime groups.

Police are also looking into the wider network involved in the transfer and misuse of SIM cards, including the role of point-of-sale holders and SIM-selling agents linked to the suspicious numbers.

The case highlights the risks associated with SIM cards being obtained in one person’s name and subsequently handed over to others for money. Users should never sell, rent or hand over SIM cards registered in their name, as misuse of the number in cybercrime can bring the registered subscriber under investigation while making it harder for police to identify the actual fraudster.

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Artificial Intelligence

Are Smart Glasses Becoming a Privacy Threat? Norway Considers Major Restrictions

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Norway is considering restrictions, including a possible ban, on smart glasses and other wearable devices equipped with cameras and internet connectivity amid growing concerns over privacy and surveillance.

The devices can capture images and videos, connect to the internet and may increasingly incorporate artificial intelligence-powered features such as facial recognition.

What Has Prompted Norway to Consider Restrictions?

Norway’s Digital Minister Karianne Tung has said the government is examining new regulations to control the use of camera-enabled wearable devices. The proposed measures could cover smart glasses made by companies such as Meta and Snap. Civil liberties and privacy advocates have raised concerns that the technology could allow people to be recorded without their knowledge or consent.

Why Is Norway Considering a Ban on Smart Glasses?

The government is concerned that camera-enabled smart glasses can record people discreetly in public places. Unlike smartphones, which are generally visible when someone is taking a photo or recording video, smart glasses can resemble ordinary eyewear and may make it difficult for people nearby to know that they are being recorded.

The concern becomes more serious when cameras are combined with microphones, internet connectivity and artificial intelligence. Such devices could potentially collect, process and transmit personal information in real time, raising questions about consent, surveillance and misuse.

A possible ban or tighter restrictions would therefore be aimed at preventing covert recording, unauthorised facial recognition and continuous monitoring of people in public spaces.

What Privacy Risks Do Camera-Enabled Wearables Create?

According to the government, smart glasses and other camera-enabled wearables present a distinct privacy challenge because they can be used discreetly in public spaces. A person wearing such a device could potentially record photographs or videos of people nearby without making it obvious that a camera is operating.

As the devices are connected to the internet, captured material could also be transmitted to other devices or online services.

Tung said there was a clear trend towards combining artificial intelligence with cameras and microphones embedded in everyday objects. She pointed to glasses, headphones, hats and other wearable items as examples of products where such technology is increasingly being integrated.

Could Facial Recognition Become a Major Concern?

The minister said the government must prevent these devices from being used to monitor other people in public places. Possible regulations could also include restrictions on using facial recognition technology to identify individuals in public spaces.

Technology experts have warned that combining cameras and microphones with artificial intelligence could significantly increase the amount of information such devices can collect and process.

If facial recognition becomes widely available on wearable devices, they could potentially be used to identify people in public places, monitor their movements and gather information about their activities.

How Could Norway Regulate Smart Glasses?

Norway plans to establish a group of experts to advise the government on ways to strengthen privacy protections. The objective is not necessarily to stop the development of wearable technology, but to establish safeguards against the risks that could emerge as such devices become more capable and widely used.

Future rules could establish clearer limits on recording people in public places, using camera-enabled wearables and deploying facial recognition technology.

The proposed restrictions could apply to smart glasses developed by major technology companies, including Meta and Snap, depending on the capabilities of the devices and how they are used.

Why Are Smart Glasses Becoming a Global Privacy Debate?

Technology companies are increasingly positioning smart glasses as a possible alternative or complement to smartphones. These devices are designed to provide hands-free access to digital services while allowing users to interact with technology without constantly using a phone.

However, their growing capabilities have raised difficult questions about how to balance convenience with individual privacy. A person using ordinary-looking glasses may potentially record others without attracting attention, making consent and transparency harder to enforce.

Norway’s move reflects a broader international debate over privacy as artificial intelligence, cameras, microphones and wearable technology become increasingly integrated.

What Should Smart Glasses Users Keep in Mind?

Consumers using camera-enabled wearables should respect local privacy laws, avoid recording people without their knowledge where consent is required, and use facial recognition or similar features cautiously. As governments consider tighter rules, users should also stay aware of changing regulations before using such devices in public spaces.

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