#FactCheck - Viral Video Distorts Rahul Gandhi’s Speech to Push False Religious Claim

Introduction

The rapid advancement of technology, including generative AI, offers immense benefits but also raises concerns about misuse. The Internet Watch Foundation reported that, as of July 2024, over 3,500 new AI-generated child sexual abuse images appeared on the dark web. The UK’s National Crime Agency records 800 monthly arrests for online child threats and estimates 840,000 adults as potential offenders. In response, the UK is introducing legislation to criminalise AI-generated child exploitation imagery, which will be a part of the Crime and Policing Bill when it comes to parliament in the next few weeks, aligning with global AI regulations like the EU AI Act and the US AI Initiative Act. This policy shift strengthens efforts to combat online child exploitation and sets a global precedent for responsible AI governance.

Current Legal Landscape and the Policy Gap 

The UK’s Online Safety Act 2023 aims to combat CSAM and deepfake pornography by holding social media and search platforms accountable for user safety. It mandates these platforms to prevent children from accessing harmful content, remove illegal material, and offer clear reporting mechanisms. For adults, major platforms must be transparent about harmful content policies and provide users control over what they see.

However, the Act has notable limitations, including concerns over content moderation overreach, potential censorship of legitimate debates, and challenges in defining "harmful" content. It may disproportionately impact smaller platforms and raise concerns about protecting journalistic content and politically significant discussions. While intended to enhance online safety, these challenges highlight the complexities of balancing regulation with digital rights and free expression. 

The Proposed Criminalisation of AI-Generated Sexual Abuse Content

The proposed law by the UK criminalises the creation, distribution, and possession of AI-generated CSAM and deepfake pornography. It mandates enforcement agencies and digital platforms to identify and remove such content, with penalties for non-compliance. Perpetrators may face up to two years in prison for taking intimate images without consent or installing equipment to facilitate such offences. Currently, sharing or threatening to share intimate images, including deepfakes, is an offence under the Sexual Offences Act 2003, amended by the Online Safety Act 2023. The government plans to repeal certain voyeurism offences, replacing them with broader provisions covering unauthorised intimate recordings. This aligns with its September 2024 decision to classify sharing intimate images as a priority offence under the Online Safety Act, reinforcing its commitment to balancing free expression with harm prevention.

Implications for AI Regulation and Platform Responsibility

The UK's move aligns with its AI Safety Summit commitments, placing responsibility on platforms to remove AI-generated sexual abuse content or face Ofcom enforcement. The Crime and Policing Bill is expected to tighten AI regulations, requiring developers to integrate safeguards against misuse, and the licensing frameworks may enforce ethical AI standards, restricting access to synthetic media tools. Given AI-generated abuse's cross-border nature, enforcement will necessitate global cooperation with platforms, law enforcement, and regulators. Bilateral and multilateral agreements could help harmonise legal frameworks, enabling swift content takedown, evidence sharing, and extradition of offenders, strengthening international efforts against AI-enabled exploitation.

Conclusion and Policy Recommendations 

The Crime and Policing Bill marks a crucial step in criminalising AI-generated CSAM and deepfake pornography, strengthening online safety and platform accountability. However, balancing digital rights and enforcement remains a challenge. For effective implementation, industry cooperation is essential, with platforms integrating detection tools and transparent reporting systems. AI ethics frameworks should prevent misuse while allowing innovation, and victim support mechanisms must be prioritised. Given AI-driven abuse's global nature, international regulatory alignment is key for harmonised laws, evidence sharing, and cross-border enforcement. This legislation sets a global precedent, emphasising proactive regulation to ensure digital safety, ethical AI development, and the protection of human dignity.

References

• https://www.iwf.org.uk/about-us/why-we-exist/our-research/how-ai-is-being-abused-to-create-child-sexual-abuse-imagery/
• https://www.reuters.com/technology/artificial-intelligence/uk-makes-use-ai-tools-create-child-abuse-material-crime-2025-02-01/
• https://www.financialexpress.com/life/technology-uk-set-to-ban-ai-tools-for-creating-child-sexual-abuse-images-with-new-laws-3735296/
• https://www.gov.uk/government/publications/national-crime-agency-annual-report-and-accounts-2023-to-2024/national-crime-agency-annual-report-and-accounts-2023-to-2024-accessible#part-1--performance-report

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Introduction

Google’s search engine is widely known for its ability to tailor its search results based on user activity, enhancing the relevance of search outcomes. Recently, Google introduced the ‘Try Without Personalisation’ feature. This feature allows users to view results independent of their prior activity. This change marks a significant shift in platform experiences, offering users more control over their search experience while addressing privacy concerns. 

However, even in this non-personalised mode, certain contextual factors including location, language, and device type, continue to influence results. This essentially provides the search with a baseline level of relevance. This feature carries significant policy implications, particularly in the areas of privacy, consumer rights, and market competition. 

Understanding the Feature

When users engage with this option of non-personalised search, it will no longer show them helpful individual results that are personalisation-dependent and will instead provide unbiased search results. Essentially,this feature provides users with neutral (non-personalised) search results by bypassing their data. 

This feature allows the following changes:

• Disables the user’s ability to find past searches in Autofill/Autocomplete.
• Does not pause or delete stored activity within a user’s Google account. Users, because of this feature, will be able to pause or delete stored activity through data and privacy controls.
• The feature doesn't delete or disable app/website preferences like language or search settings are some of the unaffected preferences.
• It also does not disable or delete the material that users save.
• When a user is signed in, they can ‘turn off the personalisation’ by clicking on the search option at the end of the webpage. These changes, offered by the feature, in functionality, have significant implications for privacy, competition, and user trust.

Policy Implications: An Analysis

This feature aligns with global privacy frameworks such as the GDPR in the EU and the DPDP Act in India. By adhering to principles like data minimisation and user consent, it offers users control over their data and the choice to enable or disable personalisation, thereby enhancing user autonomy and trust. 

However, there is a trade-off between user expectations for relevance and the impartiality of non-personalised results. Additionally, the introduction of such features may align with emerging regulations on data usage, transparency, and consent. Policymakers play a crucial role in encouraging innovations like these while ensuring they safeguard user rights and maintain a competitive market.

Conclusion and Future Outlook

Google's 'Try Without Personalisation' feature represents a pivotal moment for innovation by balancing user privacy with search functionality. By aligning with global privacy frameworks such as the GDPR and the DPDP Act, it empowers users to control their data while navigating the complex interplay between relevance and neutrality. However, its success hinges on overcoming technical hurdles, fostering user understanding, and addressing competitive and regulatory scrutiny. As digital platforms increasingly prioritise transparency, such features could redefine user expectations and regulatory standards in the evolving tech ecosystem.

References

• https://indianexpress.com/article/technology/tech-news-technology/google-search-results-try-without-personalisation-new-feature-9710243/ 
• https://support.google.com/websearch/answer/12410098?hl=en 
• https://www.theverge.com/2024/12/5/24314402/google-turn-off-personalized-search-results

Recent Incidents:

Recent reports are revealing a significant security threat linked to a new infostealer based malware campaign known to solely target gaming accounts. This attack has affected users of Activision and other gaming websites. The sophisticated software has captured millions of login credentials, notably from the cheats and players. The officials at Activision Blizzard, an American video game holding company, are still investigating the matter and collaborating with cheated developers to minimize the impact and inform the accounts’ residents of appropriate safety measures.

Overview:

Infostealer, also known as information stealer, is a type of malware designed in the form of a Trojan virus for stealing private data from the infected system. It can have a variety of incarnations and collect user data of various types such as browser history, passwords, credit card numbers, and login details and credentials to social media, gaming platforms, bank accounts, and other websites. Bad actors use the log obtained as a result of the collection of personal records to access the victim’s financial accounts, appropriate the victim’s online identity, and perform fraudulent actions on behalf of the victim.

Modus Operandi:

• Infosteale­r is a malicious program created to illegally obtain pe­ople's login details, like use­rnames and passwords. Its goal is to enable cybe­rattacks, sell on dark web markets, or pursue­ malicious aims.

• This malware targets both personal de­vices and corporate systems. It spre­ads through methods like phishing emails, harmful we­bsites, and infected public site­s.

• Once inside a device­, Infostealer secre­tly gathers sensitive data like­ passwords, account details, and personal information. It's designe­d to infiltrate systems being undete­cted. The stolen cre­dentials are compiled into datalogs. The­se logs are then sold ille­gally on dark web marketplaces for profit.

Analysis: 

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Basic properties:

• MD5: 06f53d457c530635b34aef0f04c59c7d
• SHA-1: 7e30c3aee2e4398ddd860d962e787e1261be38fb
• SHA-256: aeecc65ac8f0f6e10e95a898b60b43bf6ba9e2c0f92161956b1725d68482721d
• Vhash: 145076655d155515755az4e?z4
• Authentihash: 65b5ecd5bca01a9a4bf60ea4b88727e9e0c16b502221d5565ae8113f9ad2f878
• Imphash: f4a69846ab44cc1bedeea23e3b680256
• Rich PE header hash: ba3da6e3c461234831bf6d4a6d8c8bff 
• SSDEEP: 6144:YcdXHqXTdlR/YXA6eV3E9MsnhMuO7ZStApGJiZcX8aVEKn3js7/FQAMyzSzdyBk8:YIKXd/UgGXS5U+SzdjTnE3V
• TLSH:T1E1B4CF8E679653EAC472823DCC232595E364FB009267875AC25702D3EFBB3D56C29F90
• File type: Win32 DLL executable windows win32 pepe dll
• Magic: PE32+ executable (DLL) (GUI) x86-64, for MS Windows
• File size: 483.50 KB (495104 bytes)

Additional Hash Files:

• 160389696ed7f37f164f1947eda00830
• 229a758e232aeb49196c862655797e12
• 23e4ac5e7db3d5a898ea32d27e8b7661
• 3440cced6ec7ab38c6892a17fd368cf8
• 36d7da7306241979b17ca14a6c060b92
• 38d2264ff74123f3113f8617fabc49f6
• 3c5c693ba9b161fa1c1c67390ff22c96
• 3e0fe537124e6154233aec156652a675
• 4571090142554923f9a248cb9716a1ae
• 4e63f63074eb85e722b7795ec78aeaa3
• 63dd2d927adce034879b114d209b23de
• 642aa70b188eb7e76273130246419f1d
• 6ab9c636fb721e00b00098b476c49d19
• 71b4de8b5a1c5a973d8c23a20469d4ec
• 736ce04f4c8f92bda327c69bb55ed2fc
• 7acfddc5dfd745cc310e6919513a4158
• 7d96d4b8548693077f79bc18b0f9ef21
• 8737c4dc92bd72805b8eaf9f0ddcc696
• 9b9ff0d65523923a70acc5b24de1921f
• 9f7c1fffd565cb475bbe963aafab77ff

Indicators of Compromise:

• Unusual Outbound Network Traffic: An increase in odd or questionable outbound network traffic may be a sign that infostealer malware has accessed more data.

• Anomalies in Privileged User Account Activity: Unusual behavior or illegal access are two examples of irregular actions that might indicate a breach in privileged user accounts.

• Suspicious Registry or System File Changes: Infostealer malware may be trying to alter system settings if there are any unexpected changes to system files, registry settings, or configurations.

• Unusual  DNS queries: When communicating with command and control servers or rerouting traffic, infostealer malware may produce strange DNS queries.

• Unexpected System Patching: Unexpected or unauthorized system patching by unidentified parties may indicate that infostealer malware has compromised the system and is trying to hide its footprint or become persistent. 

• Phishing emails and social engineering attempts:  It is a  popular strategy employed by cybercriminals to get confidential data or implant malicious software. To avoid compromise, it is crucial to be wary of dubious communications and attempts of social engineering.

Recommendations:

• Be Vigilant: In today's digital world, many cybercrime­s threaten online safe­ty, Phishing tricks, fake web pages, and bad links pose­ real dangers. Carefully che­ck email sources. Examine we­bsites closely. Use top se­curity programs. Follow safe browsing rules. Update software­ often. Share safety tips. The­se steps reduce­ risks. They help kee­p your online presence­ secure.

• Regular use of Anti-Virus Software to detect the threats: Antivirus tools are vital for finding and stopping cybe­r threats. These programs use­ signature detection and be­havior analysis to identify known malicious code and suspicious activities. Updating virus de­finitions and software-patches regularly, improve­s their ability to detect ne­w threats. This helps maintain system se­curity and data integrity.

• Provide security related training to the employees and common employees: One should learn Cybe­rsecurity and the best practice­s in order to keep the­ office safe. Common workers will ge­t lessons on spotting risks and responding well, cre­ating an environment of caution.

• Keep changing passwords: Passwords should be changed fre­quently for better se­curity. Rotating passwords often makes it harder for cybe­r criminals to compromise and make it happen or confidential data to be­ stolen. This practice keeps intruders out and shie­lds sensitive intel.

Conclusion:

To conclude, to reduce the impact and including the safety measures, further investigations and collaboration are already in the pipeline regarding the recent malicious software that takes advantage of gamers and has stated that about millions of credentials users have been compromised. To protect sensitive data, continued usage of antivirus software, use of trusted materials  and password changes are the key elements. The ways to decrease risks and safely protect sensitive information are to develop improved Cybersecurity methods such as multi-factor authentication and the conduct of security audits frequently. Be safe and be vigilant.

Reference:

• https://techcrunch.com/2024/03/28/activision-says-its-investigating-password-stealing-malware-targeting-game-players/
• https://www.bleepingcomputer.com/news/security/activision-enable-2fa-to-secure-accounts-recently-stolen-by-malware/
• https://cyber.vumetric.com/security-news/2024/03/29/activision-enable-2fa-to-secure-accounts-recently-stolen-by-malware/
• https://www.virustotal.com/
• https://otx.alienvault.com/

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