Method of infection: Water-holing
OSIRIS used a Social Engineering method called “water holing” to attack German IP addresses.
How does water holing attack work?
- The victim enters the infected website.
- The website checks if the target IP is German.
- If it’s a German IP – few evasion techniques are used to bypass EDR
- And then the virus connects to its command server through the Darknet
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📉 DDoS Confidence Is a Dangerous Illusion
🔎 Organizations report heavy investment in DDoS tools yet test protections rarely – 86% test once a year or less.
⚠️ Most teams still run fewer than 200 DDoS simulations per year – that leaves thousands of dormant misconfigurations waiting for real load.
⏱️ Mean detection and manual mitigation time is 23 minutes – enough time for outages and for DDoS to mask a deeper intrusion.
🔧 While 63% claim automated defenses, 99% rely on manual checks – and 60% of vulnerabilities were found where protections supposedly existed.
📊 On average, organizations saw 3.85 damaging DDoS incidents last year – confidence is not the same as capability.
🛠️ The fix is continuous validation – non-disruptive DDoS simulations, automated runbooks that trigger mitigations in seconds, and measurable audit trails.
📈 AUMINT.io simulates attack scenarios and measures both human and tooling responses so you can fix real gaps before they hit production.
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When AI Becomes the Target – The Dark Art of Data Poisoning and LLM Grooming
🚨 The Hidden War Inside Your AI Tools
🧠 Every prompt you write could be feeding an invisible enemy.
💻 Attackers now poison the very data that trains AI models – shaping how they “think,” decide, and respond.
⚠️ This manipulation isn’t about breaking the system – it’s about rewriting its logic.
🔍 It’s called AI Data Poisoning and LLM Grooming – subtle cyberattacks that twist large language models to promote biased ideas, false data, or even targeted deception.
🤖 Just 0.1% of tainted data can permanently alter how an AI behaves – and most teams won’t even notice until damage is done.
🧩 Imagine a chatbot subtly promoting false narratives or biased outputs that shape public trust, politics, or brand reputation. That’s not a future threat – it’s happening right now.
🛡️ Organizations must adopt adversarial training, red-team audits, and cryptographic validation to defend their AI ecosystems.
💬 At AUMINT.io, we help companies simulate, detect, and neutralize human and AI manipulation risks before they spread.
👉 Read the full breakdown and practical defense roadmap on AUMINT.io.
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👥 Employees using WhatsApp, LinkedIn or Facebook at work are unwittingly feeding attackers entry points – platform design and social trust make it worse.
🔗 One misplaced click on a fraudulent ad or link can unleash malware or phishing across your organisation.
💸 The average breach cost in South Africa hit R53 million in 2024 – human error is the price tag.
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🕵️♂️ Job-Seekers Are the New Frontline for Cyber Attacks
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⚠️ Why it matters: your candidate pipeline may be your weakest human link. One compromised applicant or contractor can expose your network before formal onboarding begins.
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📊 AUMINT.io simulates realistic human-targeted attacks and shows you where employees or vendors will likely fall for lures that lead attackers to your crown jewels.
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⚡ 11 accounts compromised across three universities sent phishing emails to nearly 6,000 targets.
✅ Adopt phishing-resistant MFA like FIDO2 keys.
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✅ Educate staff to recognize phishing tactics.
AUMINT.io helps organizations detect hidden gaps through simulations and continuous monitoring – Book your session now
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Marketing teams often control accounts, not IT.
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