#FactCheck - Viral video attributed to the Australian Prime Minister is AI-generated; claim of cancelling Pakistani visas is false

Executive Summary

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A claim is being widely circulated on social media alleging that more than 20,000 Sikh and Muslim personnel have resigned from the Indian Army.The viral graphic further attributes a statement to Chief of Army Staff General Upendra Dwivedi, claiming that the resignations were triggered by Indian media allegedly blaming Muslims and Sikhs for the Delhi riots.  The graphic also includes the alleged remark that “Bhagwakaran (saffronisation) has destroyed us.” Several social media users are sharing the claim as genuine. CyberPeace Rresearch Wing ’s research found the viral claim to be false. Our research  revealed that there is no credible evidence to support the allegation that more than 20,000 Sikh and Muslim soldiers resigned from the Indian Army. We found no official statement from the Indian Army or the Ministry of Defence confirming such resignations. Additionally, the statement attributed to Chief of Army Staff General Upendra Dwivedi has been fabricated and does not appear in his original speech. The viral claim is therefore misleading and based on false information.

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Claim

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An X user shared the viral graphic with the caption, “Under the guise of ‘Bhagwakaran’ (saffronisation), RSS has wanted a Hindu Rashtra for 100 years. Since 2014, the process of ‘Hindu purification’ has begun. Agniveer recruitment is being filled with RSS-BJP supporters. Twenty thousand Sikh and Muslim soldiers have resigned from the Indian Army, creating job opportunities for RSS and BJP supporters.”

Post Link:

https://x.com/RatnakarGedam/status/2078659496801661426?s=20 

https://archive.ph/submit/?url 

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Fact Check

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To verify the claim, we conducted keyword-based searches on Google using terms related to the alleged resignation of 20,000 Sikh and Muslim soldiers from the Indian Army. Our search found no credible news reports supporting the claim. We also found no official statement from the Indian Army or the Ministry of Defence confirming that such resignations had taken place. During the research , we located the original video of General Upendra Dwivedi, published by the news agency IANS. In the video, the Army Chief is addressing the Delhi Defence Dialogue, where he discusses modern warfare, emerging military technologies, future security challenges, and land warfare strategy.

His remarks are entirely focused on defence preparedness, technological advancements, and strategic military issues. At no point does he mention the resignation of 20,000 Sikh or Muslim soldiers, the Delhi riots, or any of the claims circulating on social media.

https://x.com/ians_india/status/1988566879053693282?s=20

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The viral quote attributed to General Dwivedi does not appear anywhere in his speech and has been fabricated.

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Conclusion

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Our research  found that the claim alleging 20,000 Sikh and Muslim soldiers resigned from the Indian Army is false.There is no credible evidence that such mass resignations took place, and General Upendra Dwivedi never made the statement attributed to him in the viral posts. The claim is based on a fabricated quote and is being circulated to mislead the public.

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On June 5th, the world comes together to reflect on how the way we live impacts the environment.  We discuss conserving water, cutting back on plastic, and planting trees, but how often do we think about the environmental impact of our digital lives?

The internet is ubiquitous but invisible in a world that is becoming more interconnected by the day. It drives our communications, meetings, and recollections. However, there is a price for this digital convenience: carbon emissions.

A Digital Carbon Footprint: What Is It?

Electricity is necessary for every video we stream, email we send, and file we store on the cloud. But almost 60% of the electricity produced today is generated from burning fossil fuels. The digital world uses an incredible amount of energy, from the energy-hungry data centres that house our information to the networks that send it. Thus, the greenhouse gas emissions produced by our use of digital tools and services are referred to as our "digital carbon footprint." 

To put it in perspective:

• Up to 150–200 grams of CO₂ can be produced by streaming an hour-long HD video on your phone.

• A typical email sent can release about 4 grams of CO₂, and more if it contains attachments.
• Comparable to the airline industry, the internet as a whole accounts for 1.5% to 4% of global greenhouse gas emissions.

Why It Matters 

Ironically, despite the fact that digital life frequently feels "clean" and weightless, it is backed by enormous, power-hungry infrastructures. Additionally, our online activity is growing at a rapid pace as digital penetration increases. Plus, with the advent of AI and big data, the demand for energy is only going to rise. The harms of air, water, and soil degradation, and biodiversity loss are already upon us.  It's high time we reconsider how we use technology on World Environment Day.

What Can You Do? 

The good news is that even minor adjustments to our online conduct can have an impact. 

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🗑️ Clear out your digital clutter by getting rid of unnecessary emails, apps, and files.

📥 Unsubscribe from mailing lists that you no longer use.

📉 When HD is not required, stream videos with lower quality.

⚡ Make use of energy-saving gadgets and disconnect them when not in use.

🌐 Make the move to renewable energy-powered, environmentally friendly cloud providers.

🗳️ Support informed policy by engaging with your elected representatives and advocating for greener tech policies. Knowing your digital rights and responsibilities can help shape smarter policies and a healthier planet.

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We at the CyberPeace Foundation think that cyberspace needs to be sustainable. An eco-friendly digital world is also a safer one, where all communities can thrive in harmony. We must promote digital responsibility, including its environmental component, as we work towards digital equity and resilience.

On this World Environment Day, let's go one step further and work towards a greener internet as well as a greener planet.

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Executive Summary:

One of the most complex threats that have appeared in the space of network security is focused on the packet rate attacks that tend to challenge traditional approaches to DDoS threats’ involvement. In this year, the British based biggest Internet cloud provider of Europe, OVHcloud was attacked by a record and unprecedented DDoS attack reaching the rate of 840 million packets per second. Targets over 1 Tbps have been observed more regularly starting from 2023, and becoming nearly a daily occurrence in 2024. The maximum attack on May 25, 2024, got to 2.5 Tbps, this points to a direction to even larger and more complex attacks of up to 5 Tbps. Many of these attacks target critical equipment such as Mikrotik models within the core network environment; detection and subsequent containment of these threats prove a test for cloud security measures.

Modus Operandi of a Packet Rate Attack:

A type of cyberattack where an attacker sends with a large volume of packets in a short period of time aimed at a network device is known as packet rate attack, or packet flood attack or network flood attack under volumetric DDoS attack. As opposed to the deliberately narrow bandwidth attacks, these raids target the computation time linked with package processing. 

Key technical characteristics include: 

• Packet Size: Usually compact, and in many cases is less than 100 bytes 
• Protocol: Named UDP, although it can also involve TCP SYN or other protocol flood attacks 
•  Rate: Exceeding 100 million packets per second (Mpps), with recent attacks exceeding 840 Mpps 
• Source IP Diversity: Usually originating from a small number of sources and with a large number of requests per IP, which testifies about the usage of amplification principles 
• Attack on the Network Stack : To understand the impact, let's examine how these attacks affect different layers of the network stack:

1. Layer 3 (Network Layer):

• Each packet requires routing table lookups and hence routers and L3 switches have the problem of high CPU usage. 
• These mechanisms can often be saturated so that network communication will be negatively impacted by the attacker.

2. Layer 4 (Transport Layer):

• Other stateful devices (e.g. firewalls, load balancers) have problems with tables of connections 
• TCP SYN floods can also utilize all connection slots so that no incoming genuine connection can be made.

3. Layer 7 (Application Layer): 

• Web servers and application firewalls may be triggered to deliver a better response in a large number of requests 
• Session management systems can become saturated, and hence, the performance of future iterations will be a little lower than expected in terms of their perceived quality by the end-user. 

Technical Analysis of Attack Vectors

Recent studies have identified several key vectors exploited in high-volume packet rate attacks:

1.MikroTik RouterOS Exploitation:

• Vulnerability: CVE-2023-4967
• Impact: Allows remote attackers to generate massive packet floods
• Technical detail: Exploits a flaw in the FastTrack implementation

2.DNS Amplification:

• Amplification factor: Up to 54x
• Technique: Exploits open DNS resolvers to generate large responses to small queries
• Challenge: Difficult to distinguish from legitimate DNS traffic

3.NTP Reflection:

• Command: monlist
• Amplification factor: Up to 556.9x
• Mitigation: Requires NTP server updates and network-level filtering

Mitigation Strategies: A Technical Perspective

1. Combating packet rate attacks requires a multi-layered approach:

• Hardware-based Mitigation:
• Implementation: FPGA-based packet processing
• Advantage: Can handle millions of packets per second with minimal latency
• Challenge: High cost and specialized programming requirements

2.Anycast Network Distribution:

• Technique: Distributing traffic across multiple global nodes
• Benefit: Dilutes attack traffic, preventing single-point failures
• Consideration: Requires careful BGP routing configuration

3.Stateless Packet Filtering:

• Method: Applying filtering rules without maintaining connection state
• Advantage: Lower computational overhead compared to stateful inspection
• Trade-off: Less granular control over traffic

4.Machine Learning-based Detection:

• Approach: Using ML models to identify attack patterns in real-time
• Key metrics: Packet size distribution, inter-arrival times, protocol anomalies
• Challenge: Requires continuous model training to adapt to new attack patterns

Performance Metrics and Benchmarking

When evaluating DDoS mitigation solutions for packet rate attacks, consider these key performance indicators:

• Flows per second (fps) or packet per second (pps) capability
• Dispersion and the latency that comes with it is inherent to mitigation systems.
• The false positive rate in the case of the attack detection
• Exposure time before beginning of mitigation from the moment of attack

Way Forward

The packet rate attacks are constantly evolving where the credible defenses have not stayed the same. The next step entails extension to edge computing and 5G networks for distributing mitigation closer to the attack origins. Further, AI-based proactive tools of analysis for prediction of such threats will help to strengthen the protection of critical infrastructure against them in advance.

In order to stay one step ahead in this, it is necessary to constantly conduct research, advance new technologies, and work together with other cybersecurity professionals. There is always a need to develop secure defenses that safeguard these networks.

Reference:

https://blog.ovhcloud.com/the-rise-of-packet-rate-attacks-when-core-routers-turn-evil/

https://cybersecuritynews.com/record-breaking-ddos-attack-840-mpps/

https://www.cloudflare.com/learning/ddos/famous-ddos-attacks/

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