#FactCheck - Debunking the AI-Generated Image of an Alleged Israeli Army Dog Attack
Executive Summary:
A photo allegedly shows an Israeli Army dog attacking an elderly Palestinian woman has been circulating online on social media. However, the image is misleading as it was created using Artificial Intelligence (AI), as indicated by its graphical elements, watermark ("IN.VISUALART"), and basic anomalies. Although there are certain reports regarding the real incident in several news channels, the viral image was not taken during the actual event. This emphasizes the need to verify photos and information shared on social media carefully.

Claims:
A photo circulating in the media depicts an Israeli Army dog attacking an elderly Palestinian woman.



Fact Check:
Upon receiving the posts, we closely analyzed the image and found certain discrepancies that are commonly seen in AI-generated images. We can clearly see the watermark “IN.VISUALART” and also the hand of the old lady looks odd.

We then checked in AI-Image detection tools named, True Media and contentatscale AI detector. Both found potential AI Manipulation in the image.



Both tools found it to be AI Manipulated. We then keyword searched for relevant news regarding the viral photo. Though we found relevant news, we didn’t get any credible source for the image.

The photograph that was shared around the internet has no credible source. Hence the viral image is AI-generated and fake.
Conclusion:
The circulating photo of an Israeli Army dog attacking an elderly Palestinian woman is misleading. The incident did occur as per the several news channels, but the photo depicting the incident is AI-generated and not real.
- Claim: A photo being shared online shows an elderly Palestinian woman being attacked by an Israeli Army dog.
- Claimed on: X, Facebook, LinkedIn
- Fact Check: Fake & Misleading
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Introduction
The unprecedented rise of social media, challenges with regional languages, and the heavy use of messaging apps like WhatsApp have all led to an increase in misinformation in India. False stories spread quickly and can cause significant harm, like political propaganda and health-related mis/misinformation. Programs that teach people how to use social media responsibly and attempt to check facts are essential, but they do not always connect with people deeply. Reading stories, attending lectures, and using tools that check facts are standard passive learning methods used in traditional media literacy programs.
Adding game-like features to non-game settings is called "gamification," it could be a new and interesting way to answer this question. Gamification involves engaging people by making them active players instead of just passive consumers of information. Research shows that interactive learning improves interest, thinking skills, and memory. People can learn to recognise fake news safely by turning fact-checking into a game before encountering it in real life. A study by Roozenbeek and van der Linden (2019) showed that playing misinformation games can significantly enhance people's capacity to recognise and avoid false information.
Several misinformation-related games have been successfully implemented worldwide:
- The Bad News Game – This browser-based game by Cambridge University lets players step into the shoes of a fake news creator, teaching them how misinformation is crafted and spread (Roozenbeek & van der Linden, 2019).
- Factitious – A quiz game where users swipe left or right to decide whether a news headline is real or fake (Guess et al., 2020).
- Go Viral! – A game designed to inoculate people against COVID-19 misinformation by simulating the tactics used by fake news peddlers (van der Linden et al., 2020).
For programs to effectively combat misinformation in India, they must consider factors such as the responsible use of smartphones, evolving language trends, and common misinformation patterns in the country. Here are some key aspects to keep in mind:
- Vernacular Languages
There should be games in Hindi, Tamil, Bengali, Telugu, and other major languages since that is how rumours spread in different areas and diverse cultural contexts. AI voice conversation and translation can help reduce literacy differences. Research shows that people are more likely to engage with and trust information in their native language (Pennycook & Rand, 2019).
- Games Based on WhatsApp
Interactive tests and chatbot-powered games can educate consumers directly within the app they use most frequently since WhatsApp is a significant hub for false information. A game with a WhatsApp-like interface where players may feel like they are in real life, having to decide whether to avoid, check the facts of, or forward messages that are going viral could be helpful in India.
- Detecting False Information
As part of a mobile-friendly game, players can pretend to be reporters or fact-checkers and have to prove stories that are going viral. They can do the same with real-life tools like reverse picture searches or reliable websites that check facts. Research shows that doing interactive tasks to find fake news makes people more aware of it over time (Lewandowsky et al., 2017).
- Reward-Based Participation
Participation could be increased by providing rewards for finishing misleading challenges, such as badges, diplomas, or even incentives on mobile data. This might be easier to do if there are relationships with phone companies. Reward-based learning has made people more interested and motivated in digital literacy classes (Deterding et al., 2011).
- Universities and Schools
Educational institutions can help people spot false information by adding game-like elements to their lessons. Hamari et al. (2014) say that students are more likely to join and remember what they learn when there are competitive and interactive parts to the learning. Misinformation games can be used in media studies classes at schools and universities by using models to teach students how to check sources, spot bias, and understand the psychological tricks that misinformation campaigns use.
What Artificial Intelligence Can Do for Gamification
Artificial intelligence can tailor learning experiences to each player in false games. AI-powered misinformation detection bots could lead participants through situations tailored to their learning level, ensuring they are consistently challenged. Recent natural language processing (NLP) developments enable AI to identify nuanced misinformation patterns and adjust gameplay accordingly (Zellers et al., 2019). This could be especially helpful in India, where fake news is spread differently depending on the language and area.
Possible Opportunities
Augmented reality (AR) scavenger hunts for misinformation, interactive misinformation events, and educational misinformation tournaments are all examples of games that help fight misinformation. India can help millions, especially young people, think critically and combat the spread of false information by making media literacy fun and interesting. Using Artificial Intelligence (AI) in gamified treatments for misinformation could be a fascinating area of study in the future. AI-powered bots could mimic real-time cases of misinformation and give quick feedback, which would help students learn more.
Problems and Moral Consequences
While gaming is an interesting way to fight false information, it also comes with some problems that you should think about:
- Ethical Concerns: Games that try to imitate how fake news spreads must ensure players do not learn how to spread false information by accident.
- Scalability: Although worldwide misinformation initiatives exist, developing and expanding localised versions for India's varied language and cultural contexts provide significant challenges.
- Assessing Impact: There is a necessity for rigorous research approaches to evaluate the efficacy of gamified treatments in altering misinformation-related behaviours, keeping cultural and socio-economic contexts in the picture.
Conclusion
A gamified approach can serve as an effective tool in India's fight against misinformation. By integrating game elements into digital literacy programs, it can encourage critical thinking and help people recognize misinformation more effectively. The goal is to scale these efforts, collaborate with educators, and leverage India's rapidly evolving technology to make fact-checking a regular practice rather than an occasional concern.
As technology and misinformation evolve, so must the strategies to counter them. A coordinated and multifaceted approach, one that involves active participation from netizens, strict platform guidelines, fact-checking initiatives, and support from expert organizations that proactively prebunk and debunk misinformation can be a strong way forward.
References
- Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: defining "gamification". Proceedings of the 15th International Academic MindTrek Conference.
- Guess, A., Nagler, J., & Tucker, J. (2020). Less than you think: Prevalence and predictors of fake news dissemination on Facebook. Science Advances.
- Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does gamification work?—A literature review of empirical studies on gamification. Proceedings of the 47th Hawaii International Conference on System Sciences.
- Lewandowsky, S., Ecker, U. K., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition.
- Pennycook, G., & Rand, D. G. (2019). Fighting misinformation on social media using “accuracy prompts”. Nature Human Behaviour.
- Roozenbeek, J., & van der Linden, S. (2019). The fake news game: actively inoculating against the risk of misinformation. Journal of Risk Research.
- van der Linden, S., Roozenbeek, J., Compton, J. (2020). Inoculating against fake news about COVID-19. Frontiers in Psychology.
- Zellers, R., Holtzman, A., Rashkin, H., Bisk, Y., Farhadi, A., Roesner, F., & Choi, Y. (2019). Defending against neural fake news. Advances in Neural Information Processing Systems.
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In the tapestry of our modern digital ecosystem, a silent, pervasive conflict simmers beneath the surface, where the quest for cyber resilience seems Sisyphean at times. It is in this interconnected cyber dance that the obscure orchestrator, StripedFly, emerges as the maestro of stealth and disruption, spinning a complex, mostly unseen web of digital discord. StripedFly is not some abstract concept; it represents a continual battle against the invisible forces that threaten the sanctity of our digital domain.
This saga of StripedFly is not a tale of mere coincidence or fleeting concern. It is emblematic of a fundamental struggle that defines the era of interconnected technology—a struggle that is both unyielding and unforgiving in its scope. Over the past half-decade, StripedFly has slithered its way into over a million devices, creating a clandestine symphony of cybersecurity breaches, data theft, and unintentional complicity in its agenda. Let's delve deep into this grand odyssey to unravel the odious intricacies of StripedFly and assess the reverberations felt across our collective pursuit of cyber harmony.
The StripedFly malware represents the epitome of a digital chameleon, a master of cyber camouflage, masquerading as a mundane cryptocurrency miner while quietly plotting the grand symphony of digital bedlam. Its deceptive sophistication has effortlessly skirted around the conventional tripwires laid by our cybersecurity guardians for years. The Russian cybersecurity giant Kaspersky's encounter with StripedFly in 2017 brought this ghostly figure into the spotlight—hitherto, a phantom whistling past the digital graveyard of past threats.
How Does it work
Distinctive in its composition, StripedFly conceals within its modular framework the potential for vast infiltration—an exploitation toolkit designed to puncture the fortifications of both Linux and Windows systems. In an emboldened maneuver, it utilizes a customized version of the EternalBlue SMBv1 exploit—a technique notoriously linked to the enigmatic Equation Group. Through such nefarious channels, StripedFly not only deploys its malicious code but also tenaciously downloads binary files and executes PowerShell scripts with a sinister adeptness unbeknownst to its victims.
Despite its insidious nature, perhaps its most diabolical trait lies in its array of plugin-like functions. It's capable of exfiltrating sensitive information, erasing its tracks, and uninstalling itself with almost supernatural alacrity, leaving behind a vacuous space where once tangible evidence of its existence resided.
In the intricate chess game of cyber threats, StripedFly plays the long game, prioritizing persistence over temporary havoc. Its tactics are calculated—the meticulous disabling of SMBv1 on compromised hosts, the insidious utilization of pilfered keys to propagate itself across networks via SMB and SSH protocols, and the creation of task scheduler entries on Windows systems or employing various methods to assert its nefarious influence within Linux environments.
The Enigma around the Malware
This dualistic entity couples its espionage with monetary gain, downloading a Monero cryptocurrency miner and utilizing the shadowy veils of DNS over HTTPS (DoH) to camouflage its command and control pool servers. This intricate masquerade serves as a cunning, albeit elaborate, smokescreen, lulling security mechanisms into complacency and blind spots.
StripedFly goes above and beyond in its quest to minimize its digital footprint. Not only does it store its components as encrypted data on code repository platforms, deftly dispersed among the likes of Bitbucket, GitHub, and GitLab, but it also harbors a bespoke, efficient TOR client to communicate with its cloistered C2 server out of sight and reach in the labyrinthine depths of the TOR network.
One might speculate on the genesis of this advanced persistent threat—its nuanced approach to invasion, its parallels to EternalBlue, and the artistic flare that permeates its coding style suggest a sophisticated architect. Indeed, the suggestion of an APT actor at the helm of StripedFly invites a cascade of questions concerning the ultimate objectives of such a refined, enduring campaign.
How to deal with it
To those who stand guard in our ever-shifting cyber landscape, the narrative of StripedFly is a clarion call. StObjective reminders of the trench warfare we engage in to preserve the oasis of digital peace within a desert of relentless threats. The StripedFly chronicle stands as a persistent, looming testament to the necessity for heeding the sirens of vigilance and precaution in cyber practice.
Reaffirmation is essential in our quest to demystify the shadows cast by StripedFly, as it punctuates the critical mission to nurture a more impregnable digital habitat. Awareness and dedication propel us forward—the acquisition of knowledge regarding emerging threats, the diligent updating and patching of our systems, and the fortification of robust, multilayered defenses are keystones in our architecture of cyber defense. Together, in concert and collaboration, we stand a better chance of shielding our digital frontier from the dim recesses where threats like StripedFly lurk, patiently awaiting their moment to strike.
References:
https://thehackernews.com/2023/11/stripedfly-malware-operated-unnoticed.html?m=1

Introduction
A recent massive scam has been uncovered in the Indian state of Gujarat, where the Criminal Investigation Department (CID) has blacklisted 30,000 SIM cards that were used for illegal activities. The scam has created a huge uproar in the state, and its implications are significant. In this blog, we will discuss the details of the Gujarat scam and its impact on the state.
What is sim card fraud?
Sim card fraud occurs when someone uses a fake or cloned sim card to impersonate someone else. This allows the fraudster to gain access to sensitive information or conduct transactions on behalf of the victim. The use of fraudulent sim cards has become increasingly common in recent years, with scammers targeting individuals and businesses around the world.
The Gujarat Scam: The Gujarat scam involves the use of SIM cards for illegal activities such as extortion, blackmail, and cybercrime. The CID has identified that the SIM cards were obtained using fake documents and were used for illegal activities. The scam has been happening for a while, involving several individuals, including businessmen, politicians, and government officials.
The CID has conducted raids across the state and has arrested several individuals involved in the scam. They have also seized a significant amount of cash, mobile phones, and other electronic devices used for illegal activities. The investigation is ongoing, and more arrests are expected in the coming days.
The Gujarat scam is not an isolated incident, as similar scams have been reported in other parts of the country. The Telecom Regulatory Authority of India (TRAI) has also reported that several telecom operators are not following the regulations and are not verifying the authenticity of documents used to obtain SIM cards.
Impact on the State: The Gujarat scam has caused significant damage to the state’s reputation, and it has also affected the economy. The scam has highlighted the lack of regulation in the telecom industry, and it has exposed the loopholes in the system that criminals are exploiting.
The blacklisting of 30,000 SIM cards will affect several individuals who may have obtained them legally but were unaware of their use for illegal activities. The blacklisting may also impact businesses that rely on mobile phones for their operations.
The scam has also raised concerns about personal information and data safety. With the use of fake documents to obtain SIM cards, it is evident that personal information is not secure and can be easily misused. The government needs to take steps to ensure that personal information is protected and that the telecom industry is regulated to prevent such scams from happening in the future.
Steps Taken by the Government: The Gujarat scam has prompted the government to take action to prevent such incidents from happening in the future. The government has announced that it will implement stricter regulations in the telecom industry to prevent the misuse of SIM cards. The government has also announced that it will introduce a system to verify the authenticity of documents used to obtain SIM cards.
The government has also urged citizens to be vigilant and report any suspicious activity related to the misuse of SIM cards. The government has assured citizens that it will take strict action against those involved in the scam and that it will ensure the safety of personal information and data.
The TRAI has also taken steps to address the issue. It has directed telecom operators to verify the authenticity of documents used to obtain SIM cards and to follow the regulations. The TRAI has also introduced a new system to identify and deactivate inactive SIM cards.
Here are some key takeaways from the Gujarat Sim scam: These takeaways should be kept in mind to prevent such incidents from happening in the future and to ensure the safety of citizens and businesses.
Need for Stricter Regulations: The Gujarat Sim scam has highlighted the need for stricter regulations in the telecom industry. The government needs to ensure that telecom operators follow the regulations and verify the authenticity of documents used to obtain SIM cards. This will help prevent the misuse of SIM cards and illegal activities.
Importance of Personal Information Security: The scam has raised concerns about personal information and data safety. It is important to ensure that personal information is protected and that the telecom industry is regulated to prevent such scams from happening in the future.
Impact on Reputation and Economy: The Gujarat scam has caused significant damage to the state’s reputation, and it has also affected the economy. The blacklisting of 30,000 SIM cards will impact several individuals who may have obtained them legally but were unaware of their use for illegal activities. The scam has also raised concerns about the safety of businesses that rely on mobile phones for their operations.
Need for Vigilance: The government has urged citizens to be vigilant and report any suspicious activity related to the misuse of SIM cards. It is important for citizens to be aware of the regulations and to report any illegal activities to prevent such incidents from happening in the future.
Strong Action Against Criminals: The blacklisting of 30,000 SIM cards and the arrests made by the CID sends a strong message to those involved in illegal activities that they will not be spared. It is important for the government to take strict action against those involved in the scam to deter others from engaging in such activities.
Conclusion
The Gujarat scam has exposed vulnerabilities in the telecom industry and highlighted the need for stricter regulations to prevent such incidents from happening in the future. The blacklisting of 30,000 SIM cards has sent a strong message to those involved in illegal activities that they will not be spared. The government’s efforts to implement stricter regulations and ensure the safety of personal information and data are commendable. It is now up to the citizens to be vigilant and report any suspicious activity to prevent such incidents from happening in the future.
The telecom industry plays a vital role in the country’s development, and it is important to ensure that it is regulated to prevent the misuse of its services. Overall, the Gujarat Sim scam has highlighted the need for stricter regulations, personal information security, vigilance, and strong action against criminals.