#FactCheck: Viral image shows the Maldives mocking India with a "SURRENDER" sign on photo of Prime Minister Narendra Modi

Executive Summary:

False information spread on social media that Flight Lieutenant Shivangi Singh, India’s first female Rafale pilot, had been captured by Pakistan during “Operation Sindoor”. The allegations are untrue and baseless as no credible or official confirmation supports the claim, and Singh is confirmed to be safe and actively serving. The rumor, likely originating from unverified sources, sparked public concern and underscored the serious threat fake news poses to national security. 

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Claim:

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An X user posted stating that “ Initial image released of a female Indian Shivani singh Rafale pilot shot down in Pakistan”. It was falsely claimed that Flight Lieutenant Shivangi Singh had been captured, and that the Rafale aircraft was shot down by Pakistan. 

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Fact Check:

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After doing reverse image search, we found an instagram post stating the two Indian Air Force pilots—Wing Commander Tejpal (50) and trainee Bhoomika (28)—who had ejected from a Kiran Jet Trainer during a routine training sortie from Bengaluru before it crashed near Bhogapuram village in Karnataka. The aircraft exploded upon impact, but both pilots were later found alive, though injured and exhausted. 

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Also we found a youtube channel which is showing the video from the past and not what it was claimed to be. 

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Conclusion:

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The false claims about Flight Lieutenant Shivangi Singh being captured by Pakistan and her Rafale jet being shot down have been debunked. The image used was unrelated and showed IAF pilots from a separate training incident. Several media also confirmed that its video made no mention of Ms. Singh’s arrest. This highlights the dangers of misinformation, especially concerning national security. Verifying facts through credible sources and avoiding the spread of unverified content is essential to maintain public trust and protect the reputation of those serving in the armed forces.

• Claim: False claims about Flight Lieutenant Shivangi Singh being captured by Pakistan and her Rafale jet being shot down
• Claimed On:  Social Media
• Fact Check: False and Misleading

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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

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Introduction

The increasing online interaction and popularity of social media platforms for netizens have made a breeding ground for misinformation generation and spread. Misinformation propagation has become easier and faster on online social media platforms, unlike traditional news media sources like newspapers or TV. The big data analytics and Artificial Intelligence (AI) systems have made it possible to gather, combine, analyse and indefinitely store massive volumes of data. The constant surveillance of digital platforms can help detect and promptly respond to false and misinformation content. 

During the recent Israel-Hamas conflict, there was a lot of misinformation spread on big platforms like X (formerly Twitter) and Telegram. Images and videos were falsely shared attributing to the ongoing conflict, and had spread widespread confusion and tension. While advanced technologies such as AI and big data analytics can help flag harmful content quickly, they must be carefully balanced against privacy concerns to ensure that surveillance practices do not infringe upon individual privacy rights. Ultimately, the challenge lies in creating a system that upholds both public security and personal privacy, fostering trust without compromising on either front.

The Need for Real-Time Misinformation Surveillance

According to a recent survey from the Pew Research Center, 54% of U.S. adults at least sometimes get news on social media. The top spots are taken by Facebook and YouTube respectively with Instagram trailing in as third and TikTok and X as fourth and fifth. Social media platforms provide users with instant connectivity allowing them to share information quickly with other users without requiring the permission of a gatekeeper such as an editor as in the case of traditional media channels. 

Keeping in mind the data dumps that generated misinformation due to the elections that took place in 2024 (more than 100 countries), the public health crisis of COVID-19, the conflicts in the West Bank and Gaza Strip and the sheer volume of information, both true and false, has been immense. Identifying accurate information amid real-time misinformation is challenging. The dilemma emerges as the traditional content moderation techniques may not be sufficient in curbing it. Traditional content moderation alone may be insufficient, hence the call for a dedicated, real-time misinformation surveillance system backed by AI and with certain human sight and also balancing the privacy of user's data, can be proven to be a good mechanism to counter misinformation on much larger platforms. The concerns regarding data privacy need to be prioritized before deploying such technologies on platforms with larger user bases. 

Ethical Concerns Surrounding Surveillance in Misinformation Control

Real-time misinformation surveillance could pose significant ethical risks and privacy risks. Monitoring communication patterns and metadata, or even inspecting private messages, can infringe upon user privacy and restrict their freedom of expression. Furthermore, defining misinformation remains a challenge; overly restrictive surveillance can unintentionally stifle legitimate dissent and alternate perspectives. Beyond these concerns, real-time surveillance mechanisms could be exploited for political, economic, or social objectives unrelated to misinformation control. Establishing clear ethical standards and limitations is essential to ensure that surveillance supports public safety without compromising individual rights. 

In light of these ethical challenges, developing a responsible framework for real-time surveillance is essential.

Balancing Ethics and Efficacy in Real-Time Surveillance: Key Policy Implications

Despite these ethical challenges, a reliable misinformation surveillance system is essential. Key considerations for creating ethical, real-time surveillance may include:

• Misinformation-detection algorithms should be designed with transparency and accountability in mind. Third-party audits and explainable AI can help ensure fairness, avoid biases, and foster trust in monitoring systems.
• Establishing clear, consistent definitions of misinformation is crucial for fair enforcement. These guidelines should carefully differentiate harmful misinformation from protected free speech to respect users’ rights.
• Only collecting necessary data and adopting a consent-based approach which protects user privacy and enhances transparency and trust. It further protects them from stifling dissent and profiling for targeted ads.
• An independent oversight body that can monitor surveillance activities while ensuring accountability and preventing misuse or overreach can be created. These measures, such as the ability to appeal to wrongful content flagging, can increase user confidence in the system.

Conclusion: Striking a Balance

Real-time misinformation surveillance has shown its usefulness in counteracting the rapid spread of false information online. But, it brings complex ethical challenges that cannot be overlooked such as balancing the need for public safety with the preservation of privacy and free expression is essential to maintaining a democratic digital landscape. The references from the EU’s Digital Services Act and Singapore’s POFMA underscore that, while regulation can enhance accountability and transparency, it also risks overreach if not carefully structured. Moving forward, a framework for misinformation monitoring must prioritise transparency, accountability, and user rights, ensuring that algorithms are fair, oversight is independent, and user data is protected. By embedding these safeguards, we can create a system that addresses the threat of misinformation and upholds the foundational values of an open, responsible, and ethical online ecosystem. Balancing ethics and privacy and policy-driven AI Solutions for Real-Time Misinformation Monitoring are the need of the hour.

References

• https://www.pewresearch.org/journalism/fact-sheet/social-media-and-news-fact-sheet/ 
• https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=OJ:C:2018:233:FULL 

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