#FactCheck - Uncovered: Viral LA Wildfire Video is a Shocking AI-Generated Fake!
Executive Summary:
A viral post on X (formerly Twitter) has been spreading misleading captions about a video that falsely claims to depict severe wildfires in Los Angeles similar to the real wildfire happening in Los Angeles. Using AI Content Detection tools we confirmed that the footage shown is entirely AI-generated and not authentic. In this report, we’ll break down the claims, fact-check the information, and provide a clear summary of the misinformation that has emerged with this viral clip.
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Claim:
A video shared across social media platforms and messaging apps alleges to show wildfires ravaging Los Angeles, suggesting an ongoing natural disaster.
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Fact Check:
After taking a close look at the video, we noticed some discrepancy such as the flames seem unnatural, the lighting is off, some glitches etc. which are usually seen in any AI generated video. Further we checked the video with an online AI content detection tool hive moderation, which says the video is AI generated, meaning that the video was deliberately created to mislead viewers. It’s crucial to stay alert to such deceptions, especially concerning serious topics like wildfires. Being well-informed allows us to navigate the complex information landscape and distinguish between real events and falsehoods.
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Conclusion:
This video claiming to display wildfires in Los Angeles is AI generated, the case again reflects the importance of taking a minute to check if the information given is correct or not, especially when the matter is of severe importance, for example, a natural disaster. By being careful and cross-checking of the sources, we are able to minimize the spreading of misinformation and ensure that proper information reaches those who need it most.
- Claim: The video shows real footage of the ongoing wildfires in Los Angeles, California
- Claimed On: X (Formerly Known As Twitter)
- Fact Check: Fake Video
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Misinformation is a scourge in the digital world, making the most mundane experiences fraught with risk. The threat is considerably heightened in conflict settings, especially in the modern era, where geographical borders blur and civilians and conflict actors alike can take to the online realm to discuss -and influence- conflict events. Propaganda can complicate the narrative and distract from the humanitarian crises affecting civilians, while also posing a serious threat to security operations and law and order efforts. Sensationalised reports of casualties and manipulated portrayals of military actions contribute to a cycle of violence and suffering.
A study conducted by MIT found the mere thought of sharing news on social media reduced the ability to judge whether a story was true or false; the urge to share outweighed the consideration of accuracy (2023). Cross-border misinformation has become a critical issue in today's interconnected world, driven by the rise of digital communication platforms. To effectively combat misinformation, coordinated international policy frameworks and cooperation between governments, platforms, and global institutions are created.
The Global Nature of Misinformation
Cross-border misinformation is false or misleading information that spreads across countries. Out-of-border creators amplify information through social media and digital platforms and are a key source of misinformation. Misinformation can interfere with elections, and create serious misconceptions about health concerns such as those witnessed during the COVID-19 pandemic, or even lead to military conflicts.
The primary challenge in countering cross-border misinformation is the difference in national policies, legal frameworks and governance policies of social media platforms across various jurisdictions. Examining the existing international frameworks, such as cybersecurity treaties and data-sharing agreements used for financial crimes might be helpful to effectively address cross-border misinformation. Adapting these approaches to the digital information ecosystem, nations could strengthen their collective response to the spread of misinformation across borders. Global institutions like the United Nations or regional bodies like the EU and ASEAN can work together to set a unified response and uniform international standards for regulation dealing with misinformation specifically.
Current National and Regional Efforts
Many countries have taken action to deal with misinformation within their borders. Some examples include:
- The EU’s Digital Services Act has been instrumental in regulating online intermediaries and platforms including marketplaces, social networks, content-sharing platforms, app stores, etc. The legislation aims to prevent illegal and harmful activities online and the spread of disinformation.
- The primary legislation that governs cyberspace in India is the IT Act of 2000 and its corresponding rules (IT Rules, 2023), which impose strict requirements on social media platforms to counter misinformation content and enable the traceability of the creator responsible for the origin of misinformation. Platforms have to conduct due diligence, failing which they risk losing their safe harbour protection. The recently-enacted DPDP Act of 2023 indirectly addresses personal data misuse that can be used to contribute to the creation and spread of misinformation. Also, the proposed Digital India Act is expected to focus on “user harms” specific to the online world.
- In the U.S., the Right to Editorial Discretion and Section 230 of the Communications Decency Act place the responsibility for regulating misinformation on private actors like social media platforms and social media regulations. The US government has not created a specific framework addressing misinformation and has rather encouraged voluntary measures by SMPs to have independent policies to regulate misinformation on their platforms.
The common gap area across these policies is the absence of a standardised, global framework for addressing cross-border misinformation which results in uneven enforcement and dependence on national regulations.
Key Challenges in Achieving International Cooperation
Some of the key challenges identified in achieving international cooperation to address cross-border misinformation are as follows:
- Geopolitical tensions can emerge due to the differences in political systems, priorities, and trust issues between countries that hinder attempts to cooperate and create a universal regulation.
- The diversity in approaches to internet governance and freedom of speech across countries complicates the matters further.
- Further complications arise due to technical and legal obstacles around the issues of sovereignty, jurisdiction and enforcement, further complicating matters relating to the monitoring and removal of cross-border misinformation.
CyberPeace Recommendations
- The UN Global Principles For Information Integrity Recommendations for Multi-stakeholder Action, unveiled on 24 June 2024, are a welcome step for addressing cross-border misinformation. This can act as the stepping stone for developing a framework for international cooperation on misinformation, drawing inspiration from other successful models like climate change agreements, international criminal law framework etc.
- Collaborations like public-private partnerships between government, tech companies and civil societies can help enhance transparency, data sharing and accountability in tackling cross-border misinformation.
- Engaging in capacity building and technology transfers in less developed countries would help to create a global front against misinformation.
Conclusion
We are in an era where misinformation knows no borders and the need for international cooperation has never been more urgent. Global democracies are exploring solutions, both regulatory and legislative, to limit the spread of misinformation, however, these fragmented efforts fall short of addressing the global scale of the problem. Establishing a standardised, international framework, backed by multilateral bodies like the UN and regional alliances, can foster accountability and facilitate shared resources in this fight. Through collaborative action, transparent regulations, and support for developing nations, the world can create a united front to curb misinformation and protect democratic values, ensuring information integrity across borders.
References
- https://economics.mit.edu/sites/default/files/2023-10/A%20Model%20of%20Online%20Misinformation.pdf
- https://www.indiatoday.in/global/story/in-the-crosshairs-manufacturing-consent-and-the-erosion-of-public-trust-2620734-2024-10-21
- https://laweconcenter.org/resources/knowledge-and-decisions-in-the-information-age-the-law-economics-of-regulating-misinformation-on-social-media-platforms/
- https://www.article19.org/resources/un-article-19-global-principles-for-information-integrity/
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Introduction
AI-generated fake videos are proliferating on the Internet indeed becoming more common by the day. There is a use of sophisticated AI algorithms that help manipulate or generate multimedia content such as videos, audio, and images. As a result, it has become increasingly difficult to differentiate between genuine, altered, or fake content, and these AI-manipulated videos look realistic. A recent study has shown that 98% of deepfake-generated videos have adult content featuring young girls, women, and children, with India ranking 6th among the nations that suffer from misuse of deepfake technology. This practice has dangerous consequences and could harm an individual's reputation, and criminals could use this technology to create a false narrative about a candidate or a political party during elections.
The working of deepfake videos is based on algorithms that refine the fake content, and the generators are built and trained in such a way as to get the desired output. The process is repeated several times, allowing the generator to improve the content until it seems realistic, making it more flawless. Deepfake videos are created by specific approaches some of them are: -
- Lip syncing: This is the most common technique used in deepfake. Here, the voice recordings of the video, make it appear as to what was originally said by the person appearing in the video.
- Audio deepfake: For Audio-generated deepfake, a generative adversarial network (GAN) is used to colon a person’s voice, based on the vocal patterns and refine it till the desired output is generated.
- Deepfake has become so serious that the technology could be used by bad actors or by cyber-terrorist squads to set their Geo-political agendas. Looking at the present situation in the past few the number of cases has just doubled, targeting children, women and popular faces.
- Greater Risk: in the last few years the cases of deep fake have risen. by the end of the year 2022, the number of cases has risen to 96% against women and children according to a survey.
- Every 60 seconds, a deepfake pornographic video is created, now quicker and more affordable than ever, it takes less than 25 minutes and costs using just one clean face image.
- The connection to deepfakes is that people can become targets of "revenge porn" without the publisher having sexually explicit photographs or films of the victim. They may be made using any number of random pictures or images collected from the internet to obtain the same result. This means that almost everyone who has taken a selfie or shared a photograph of oneself online faces the possibility of a deepfake being constructed in their image.
Deepfake-related security concerns
As deepfakes proliferate, more people are realising that they can be used not only to create non-consensual porn but also as part of disinformation and fake news campaigns with the potential to sway elections and rekindle frozen or low-intensity conflicts.
Deepfakes have three security implications: at the international level, strategic deepfakes have the potential to destroy precarious peace; at the national level, deepfakes may be used to unduly influence elections, and the political process, or discredit opposition, which is a national security concern, and at the personal level, the scope for using Women suffer disproportionately from exposure to sexually explicit content as compared to males, and they are more frequently threatened.
Policy Consideration
Looking at the present situation where the cases of deepfake are on the rise against women and children, the policymakers need to be aware that deepfakes are utilized for a variety of valid objectives, including artistic and satirical works, which policymakers should be aware of. Therefore, simply banning deepfakes is not a way consistent with fundamental liberties. One conceivable legislative option is to require a content warning or disclaimer. Deepfake is an advanced technology and misuse of deepfake technology is a crime.
What are the existing rules to combat deepfakes?
It's worth noting that both the IT Act of 2000 and the IT Rules of 2021 require social media intermediaries to remove deep-fake videos or images as soon as feasible. Failure to follow these guidelines can result in up to three years in jail and a Rs 1 lakh fine. Rule 3(1)(b)(vii) requires social media intermediaries to guarantee that its users do not host content that impersonates another person, and Rule 3(2)(b) requires such content to be withdrawn within 24 hours of receiving a complaint. Furthermore, the government has stipulated that any post must be removed within 36 hours of being published online. Recently government has also issued an advisory to social media intermediaries to identify misinformation and deepfakes.
Conclusion
It is important to foster ethical and responsible consumption of technology. This can only be achieved by creating standards for both the creators and users, educating individuals about content limits, and providing information. Internet-based platforms should also devise techniques to deter the uploading of inappropriate information. We can reduce the negative and misleading impacts of deepfakes by collaborating and ensuring technology can be used in a better manner.
References
- https://timesofindia.indiatimes.com/life-style/parenting/moments/how-social-media-scandals-like-deepfake-impact-minors-and-students-mental-health/articleshow/105168380.cms?from=mdr
- https://www.aa.com.tr/en/science-technology/deepfake-technology-putting-children-at-risk-say-experts/2980880
- https://wiisglobal.org/deepfakes-as-a-security-issue-why-gender-matters/
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Executive Summary:
On July 4, 2024, a giant password dump, “RockYou2024” was posted on a cybercrime marketplace containing 9,948,575,739 plain-text credentials. This blog explains the technical aspects of this leakage and its consequences in the sphere of information security.
RockYou2024 is a list of passwords obtained from different data breaches ranging over the course of more than twenty years. It integrates older passwords with the lexical database with the additional passwords from the recent hacks, thereby, cumulating the database of genuine and existing passwords. The compilation is said to contain data from more than 4,000 databases putting the tool in the hands of potential attackers. RockYou owns the name to this type of attack since a data breach attacked a social media company named , “RockYou'' and released 3.2 million users’ passwords as a .txt file. Since then, the term gained a common meaning connected with mass password data breaches.
Technical Implications:
- Credential Stuffing Attacks: The RockYou2024 list comprises a great number of actual passwords that increases the likelihood of credential stuffing attacks. With this, the attackers help themselves with an opportunity to try to gain unlawful access into several online accounts that a user may have, particularly ones where an individual re-uses the same password.
- Brute-Force Attacks: The collection is extensive for brute force attack on systems that have no protection against such exercise. This is especially the case for devices and services that are exposed to the internet and which may use either weak or factory-set alphanumeric codes.
- Password Cracking: Web compilations that include such lists are often employed by security specialists and penetration testers who use John the Ripper or Hashcat to check the password’s strength or the system’s susceptibility to attacks.
- Machine Learning Models: The dataset could be used to create machine learning models for password prediction or analysis, which would only lead to further better methods to be used in the attacks.
Countermeasures / Mitigation:
Below are the technical risk/process operating proposed to reduce the risks associated with RockYou2024:
- Password Hashing: It is necessary to ensure that all the passwords required to be saved should be encrypted in one of the most secure algorithms like bcrypt, Argon2, or PBKDF2 along with a reasonable number of iterations.
- Salt and Pepper: The features for both salting and peppering should also be enabled to complicate the cracking of passwords even after the hashed password databases have been procured.
- Multi-Factor Authentication (MFA): Ensure the usage of complex passwords in addition to deploying MFA across all the technological systems and services within the company.
- Password Strength Policies: Adhere to password policies for features like the length, strength of the passwords and the change in password frequency.
- Rate Limiting and Account Lockouts: Inactivity methods must be used on consecutive attempts to log in and to the temporary lock out after so many attempts in a bid to discourage brute force attacks.
- Monitoring and Alerting: There should be measures in place to monitor for any violations such as login tappings or a form of credential stuffings and there should be alerts, where securities risks are likely to arise, in real time.
- API Security: The following proper API security measures that will result in the prevention of the following attacks; rate limiting, input validation, and token.
- Web Application Firewalls (WAF): To defend against threats from the internet for potential credential stuffing or brute-forcing the authentication process, utilize WAFs to operate at the application layer.
Analyzing the Impact:
To understand the potential impact of RockYou2024, organizations should assess the possible effects of RockYou2024, such as:
- Conduct Password Audits: LeakYou2024 scan current passwords database with RockYou2024 (in ethical and safe methods) and see which accounts have been compromised.
- Implement Continuous Monitoring: If this is a monthly or weekly event then there must be new information on data breaches and act on it concerning new security changes.
- Educate Users: Continued security consciousness training, regarding the effective protection of an individual’s password in combination with a password generator.
- Perform Penetration Testing: It is suggested to conduct penetration testing at least twice a year to find out if there are vulnerabilities in the systems and applications in the current use.
Conclusion:
The RockYou2024 leaked password database is a serious security risk; it contains almost 10 billion account credentials. This unprecedented leak further increases the exposure to credential stuffing, brute force and password cracking attacks. To deal with these threats, organizations need to have measures that include password hashing, multi-factor authentication, password strengthening and password audit. Patching, user awareness, bandit activities are imperative to prevent future invasions and strengthen the cyber security posture.
References :
- https://statanalytica.com/blog/rockyou-2024-txt-password/
- https://dig.watch/updates/rockyou2024-password-leak-exposes-nearly-10-billion-unique-passwords
- https://complexdiscovery.com/rockyou2024-leak-nearly-10-billion-passwords-exposed-heightening-cybersecurity-risks-for-businesses/