The Imperative of Cyber Resilience in 2024

Introduction

The appeal is to be heard by the TDSAT (telecommunication dispute settlement & appellate tribunal) regarding several changes under Digital personal data protection. The Changes should be a removal of the deemed consent, a change in appellate mechanism, No change in delegation legislation, and under data breach. And there are some following other changes in the bill, and the digital personal data protection bill 2023 will now provide a negative list of countries that cannot transfer the data.

New Version of the DPDP Bill

The Digital Personal Data Protection Bill has a new version. There are three major changes in the 2022 draft of the digital personal data protection bill. The changes are as follows:  The new version proposes changes that there shall be no deemed consent under the bill and that the personal data processing should be for limited uses only. By giving the deemed consent, there shall be consent for the processing of data for any purposes. That is why there shall be no deemed consent.

• In the interest of the sovereignty
• The integrity of India and the National Security
• For the issue of subsidies, benefits, services, certificates, licenses, permits, etc
• To comply with any judgment or order under the law
• To protect, assist, or provide service in a medical or health emergency, a disaster situation, or to maintain public order
• In relation to an employee and his/her rights

The 2023 version now includes an appeals mechanism

It states that the Board will have the authority to issue directives for data breach remediation or mitigation, investigate data breaches and complaints, and levy financial penalties. It would be authorised to submit complaints to alternative dispute resolution, accept voluntary undertakings from data fiduciaries, and advise the government to prohibit a data fiduciary’s website, app, or other online presence if the terms of the law were regularly violated. The Telecom Disputes Settlement and Appellate Tribunal will hear any appeals.

The other change is in delegated legislation, as one of the criticisms of the 2022 version bill was that it gave the government extensive rule-making powers. The committee also raised the same concern with the ministry. The committed wants that the provisions that cannot be fully defined within the scope of the bill can be addressed.

The other major change raised in the new version bill is regarding the data breach; there will be no compensation for the data breach. This raises a significant concern for the victims, If the victims suffer a data breach and he approaches the relevant court or authority, he will not be awarded compensation for the loss he has suffered due to the data breach.

Need of changes under DPDP

There is a need for changes in digital personal data protection as we talk about the deemed consent so simply speaking, by ‘deeming’ consent for subsequent uses, your data may be used for purposes other than what it has been provided for and, as there is no provision for to be informed of this through mandatory notice, there may never even come to know about it.‍

Conclusion

The bill requires changes to meet the need of evolving digital landscape in the digital personal data protection 2022 draft. The removal of deemed consent will ultimately protect the data of the data principal. And the data of the data principal will be used or processed only for the purpose for which the consent is given.  The change in the appellate mechanism is also crucial as it meets the requirements of addressing appeals. However, the no compensation for a data breach is derogatory to the interest of the victim who has suffered a data breach.

Executive Summary:

Traditional Business Email Compromise(BEC) attacks have become smarter, using advanced technologies to enhance their capability. Another such technology which is on the rise is WormGPT, which is a generative AI tool that is being leveraged by the cybercriminals for the purpose of BEC. This research aims at discussing WormGPT and its features as well as the risks associated with the application of the WormGPT in criminal activities. The purpose is to give a general overview of how WormGPT is involved in BEC attacks and give some advice on how to prevent it.

 Introduction

BEC(Business Email Compromise) in simple terms can be defined as a kind of cybercrime whereby the attackers target the business in an effort to defraud through the use of emails. Earlier on, BEC attacks were executed through simple email scams and phishing. However, in recent days due to the advancement of AI tools like WormGPT such malicious activities have become sophisticated and difficult to identify. This paper seeks to discuss WormGPT, a generative artificial intelligence, and how it is used in the BEC attacks to make the attacks more effective.

What is WormGPT?

Definition and Overview

WormGPT is a generative AI model designed to create human-like text. It is built on advanced machine learning algorithms, specifically leveraging large language models (LLMs). These models are trained on vast amounts of text data to generate coherent and contextually relevant content. WormGPT is notable for its ability to produce highly convincing and personalised email content, making it a potent tool in the hands of cybercriminals.

How WormGPT Works

1. Training Data: Here the WormGPT is trained with the arrays of data sets, like emails, articles, and other writing material. This extensive training enables it to understand and to mimic different writing styles and recognizable textual content.

 2. Generative Capabilities: Upon training, WormGPT can then generate text based on specific prompts, as in the following examples in response to prompts. For example, if a cybercriminal comes up with a prompt concerning the company’s financial information, WormGPT is capable of releasing an appearance of a genuine email asking for more details.

 3. Customization: WormGPT can be retrained any time with an industry or an organisation of interest in mind. This customization enables the attackers to make their emails resemble the business activities of the target thus enhancing the chances for an attack to succeed.

Enhanced Phishing Techniques

Traditional phishing emails are often identifiable by their generic and unconvincing content. WormGPT improves upon this by generating highly personalised and contextually accurate emails. This personalization makes it harder for recipients to identify malicious intent.

Automation of Email Crafting

Previously, creating convincing phishing emails required significant manual effort. WormGPT automates this process, allowing attackers to generate large volumes of realistic emails quickly. This automation increases the scale and frequency of BEC attacks.

Exploitation of Contextual Information

WormGPT can be fed with contextual information about the target, such as recent company news or employee details. This capability enables the generation of emails that appear highly relevant and urgent, further deceiving recipients into taking harmful actions.

Implications for Cybersecurity

Challenges in Detection

The use of WormGPT complicates the detection of BEC attacks. Traditional email security solutions may struggle to identify malicious emails generated by advanced AI, as they can closely mimic legitimate correspondence. This necessitates the development of more sophisticated detection mechanisms.

Need for Enhanced Training

Organisations must invest in training their employees to recognize signs of BEC attacks. Awareness programs should emphasise the importance of verifying email requests for sensitive information, especially when such requests come from unfamiliar or unexpected sources.

Implementation of Robust Security Measures

1. Multi-Factor Authentication (MFA): MFA can add an additional layer of security, making it harder for attackers to gain unauthorised access even if they successfully deceive an employee.
2. Email Filtering Solutions: Advanced email filtering solutions that use AI and machine learning to detect anomalies and suspicious patterns can help identify and block malicious emails.
3. Regular Security Audits: Conducting regular security audits can help identify vulnerabilities and ensure that security measures are up to date.

Case Studies

Case Study 1: Financial Institution

A financial institution fell victim to a BEC attack orchestrated using WormGPT. The attacker used the tool to craft a convincing email that appeared to come from the institution’s CEO, requesting a large wire transfer. The email’s convincing nature led to the transfer of funds before the scam was discovered.

Case Study 2: Manufacturing Company

In another instance, a manufacturing company was targeted by a BEC attack using WormGPT. The attacker generated emails that appeared to come from a key supplier, requesting sensitive business information. The attack exploited the company’s lack of awareness about BEC threats, resulting in a significant data breach.

Recommendations for Mitigation

1. Strengthen Email Security Protocols: Implement advanced email security solutions that incorporate AI-driven threat detection.
2. Promote Cyber Hygiene: Educate employees on recognizing phishing attempts and practising safe email habits.
3. Invest in AI for Defense: Explore the use of AI and machine learning in developing defences against generative AI-driven attacks.
4. Implement Verification Procedures: Establish procedures for verifying the authenticity of sensitive requests, especially those received via email.

Conclusion

WormGPT is a new tool in the arsenal of cybercriminals which improved their options to perform Business Email Compromise attacks more effectively and effectively. Therefore, it is critical to provide the defence community with information regarding the potential of WormGPT and its implications for enhancing the threat landscape and strengthening the protection systems against advanced and constantly evolving threats. 

This means the development of rigorous security protocols, general awareness of security solutions, and incorporating technologies such as artificial intelligence to mitigate the risk factors that arise from generative AI tools to the best extent possible.

About Customs Scam:

The Customs Scam is a type of fraud where the scammers pretend to be from the renowned courier office company (DTDC, etc.), or customs department or other government entities. They try to deceive the targets to transfer the money to resolve the fake customs related concerns.  The Research Wing at CyberPeace along with the Research Wing of Autobot Infosec Private Ltd. delved into this case through Open Source Intelligence methods and undercover interactions with the scammers and concluded with some credible information.

Case Study:

The victim receives a phone call posing as a renowned courier office (DTDC, etc.) employee (in some case custom’s officer) that a parcel in the name of the victim has been taken into custody because of inappropriate content. The scammer provides the victim an employee ID, FIR number to prove the authenticity of the case and also they show empathy towards the victim. The scammer pretends to help the victim to connect with a police officer for further action. This so-called police officer shows transparency in his work. He asks him to join a skype video call and he even provides time to install the skype app. He instructs the victim to connect with the skype id provided by the fake police officer where the scammer created a fake police station environment. He also claims that he contacted the headquarters and the victim’s phone number is associated with many illegal activities to create panic to the victim.  Then the scammers also ask the victim to give their personal details such as home address, office address, aadhar card number, PAN card number and screenshot of their bank accounts along with their available account balance for the sake of so-called investigation. Sometimes scammers also demand a high amount of money to resolve the issue and create fake urgency to trap the victim in making the payment. He sternly warns the victim not to contact any other police officials or professionals, making it clear that doing so would only lead to more trouble.

Analysis & Findings: 

After receiving these kinds of complaints from multiple sources, the analysis was done on the collection of phone numbers from where the calls originated. These phone numbers were analysed for alias name, location, Telecom operator,  etc.  Further, we have verified the number to check whether the number is linked with any social media account on reputed platforms like Google, Facebook, Whatsapp, Twitter, Instagram, Linkedin, and other classified platforms such as Locanto.

• Phone Number Analysis: Each phone number looks authentic, cleverly concealing the fraud. Sometimes scammers use virtual/temporary phone numbers for these kinds of scams. In this case the victim was from Delhi, so the scammer posed themselves from Delhi Police station, while the phone numbers belong to a different place.

• Undercover Interactions:  The interactions with the suspects reveals their chilling way of modus operandi. These scammers are masters of psychological manipulation. They threaten the victims and act as if they are genuine LEA officers. 
• Exploitation Tactics: They target unsuspecting individuals and create fear and fake urgency among the targets to extract sensitive information such as Aadhaar, PAN card and bank account details.

• Fraud Execution: The scammers demand for the payment to resolve this issue and they make use of the stolen personally identifiable information. Once the victims transfer the money, the fraudsters cut off all the communication.
• Outcome for Victims:  The scammers act so genuine and they frame the incidents so realistic, victims don't realise that they are trapped in this scam. They suffer severe financial loss and psychological trauma.

Recommendations:

• Verify Identities: It is important to verify the identity of any individual, especially if they demand personal information or payment. Contact the official agency directly using verified contact details to confirm the authenticity of the communication.
• Education on Personal Information: Provide education to people to protect their personal identity numbers like Aadhaar and PAN card number. Always emphasise the possible dangers connected to sharing such data in the course of phone conversations.
• Report Suspicious Activity: Prompt reporting of suspicious phone calls or messages to relevant authorities and consumer protection agencies helps in tracking down scammers and prevents people from falling. Report to https://cybercrime.gov.in or reach out to helpline@cyberpeace.net for further assistance. 
• Enhanced Cybersecurity Measures: Implement robust cybersecurity measures to detect and mitigate phishing attempts and fraudulent activities. This includes monitoring and blocking suspicious phone numbers and IP addresses associated with scams.

Conclusion:

In the Customs Scam fraud, the scammers pretend to be a custom or any government official and sometimes threaten the targets to get the details such as Aadhaar, PAN card details, screenshot of their bank accounts along with their available balance in their account. The phone numbers used for these kinds of scams were analysed for any suspicious activity. It is found that all the phone numbers look authentic concealing the fraudentent activities. The interactions made with them reveals that they create fearness and urgency between the individuals. They act as if they are genuine officer’s and ask for money to resolve this issue. It is important to stay vigilant and not to share any personal or financial information. When facing these kinds of scams, report and spread awareness among individuals.

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