Method of infection: Water-holing
OSIRIS used a Social Engineering method called “water holing” to attack German IP addresses.Β
How does water holing attack work?
- Β 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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π The Deepfake Dilemma: Are You Prepared?
Deepfakes have elevated cyber deception to unprecedented levels. A notable incident in Hong Kong saw a finance employee transfer $25 million after interacting with what appeared to be their CFO and six colleagueΧ β each one a convincing deepfake.
These weren’t pre-recorded videos; attackers responded in real time, showcasing the sophistication of modern scams.
As deepfake technology advances, organizations must adapt their cybersecurity strategies to address this emerging threat. By staying informed and proactive, businesses can safeguard their operations and maintain stakeholder trust.
Explore how AUMINT.io can enhance your organization’s defenses against deepfake threats.
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Insider Risks Are Costing Millions β Why Budgets Donβt Stop Data Leaks
π Insider Mistakes Are Costing Millions
π₯ 77% of organizations experienced insider data loss in the past 18 months.
β οΈ Almost half were simple human errors β wrong recipients, copied rows, accidental shares.
π Budgets are up β 72% increased spending on DLP and insider risk programs.
β±οΈ Reality check: 41% still lost millions per event, 9% up to $10M for a single mistake.
βοΈ Traditional DLPs fail in SaaS and cloud contexts β alerts flood teams, insights remain invisible.
π Actionable security now means understanding behavior, detecting anomalies, and connecting events into a risk picture.
π AUMINT.io turns alerts into real visibility so teams can stop leaks before they escalate. Book your demo
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DDoS Readiness Is Broken β Why Your Defenses Fail When It Matters Most
π DDoS Confidence Is a Dangerous Illusion
π Organizations report heavy investment in DDoS tools yet test protections rarely β 86% test once a year or less.
β οΈ Most teams still run fewer than 200 DDoS simulations per year β that leaves thousands of dormant misconfigurations waiting for real load.
β±οΈ Mean detection and manual mitigation time is 23 minutes β enough time for outages and for DDoS to mask a deeper intrusion.
π§ While 63% claim automated defenses, 99% rely on manual checks β and 60% of vulnerabilities were found where protections supposedly existed.
π On average, organizations saw 3.85 damaging DDoS incidents last year β confidence is not the same as capability.
π οΈ The fix is continuous validation β non-disruptive DDoS simulations, automated runbooks that trigger mitigations in seconds, and measurable audit trails.
π AUMINT.io simulates attack scenarios and measures both human and tooling responses so you can fix real gaps before they hit production.
π Want a prioritized DDoS readiness checklist and a guided walkthrough? Schedule your demo
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When AI Becomes the Target β The Dark Art of Data Poisoning and LLM Grooming
π¨ The Hidden War Inside Your AI Tools
π§ Every prompt you write could be feeding an invisible enemy.
π» Attackers now poison the very data that trains AI models β shaping how they βthink,β decide, and respond.
β οΈ This manipulation isnβt about breaking the system β itβs about rewriting its logic.
π Itβs called AI Data Poisoning and LLM Grooming β subtle cyberattacks that twist large language models to promote biased ideas, false data, or even targeted deception.
π€ Just 0.1% of tainted data can permanently alter how an AI behaves β and most teams wonβt even notice until damage is done.
π§© Imagine a chatbot subtly promoting false narratives or biased outputs that shape public trust, politics, or brand reputation. Thatβs not a future threat β itβs happening right now.
π‘οΈ Organizations must adopt adversarial training, red-team audits, and cryptographic validation to defend their AI ecosystems.
π¬ At AUMINT.io, we help companies simulate, detect, and neutralize human and AI manipulation risks before they spread.
π Read the full breakdown and practical defense roadmap on AUMINT.io.
π Book your strategy session
to secure your organizationβs AI layer.
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SEO Poisoning Payroll Phishing β How Job Portals Became Attack Vectors
π Search Clicks Are Now Attack Surface
π Employees searching payroll portals are being ambushed by SEO-poisoned sites that look authentic.
π± The campaign targets mobile users β phones lack enterprise EDR and often never show up in SIEM logs.
π Fake portals capture credentials and stream them to attackers via WebSocket β access is exploited in real time.
πΈ Attackers then change payroll deposit details β money diverts before detection, and investigations look like human error.
βοΈ Defenses must include bookmarking official portals, conditional access with device posture checks, and behavioral monitoring for credential misuse.
π AUMINT.io simulates these search-based lures across mobile and desktop, exposing where your humans and tooling fail.
π Want a hands-on checklist and a simulated test of your payroll pathway? Schedule your demo
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When Likes Become Liability β Hidden Cyber Risks at Work
π± Social Posts Could Trigger Your Next Breach
π A simple βLikeβ or share on a work device can expose your entire network.
π₯ Employees using WhatsApp, LinkedIn or Facebook at work are unwittingly feeding attackers entry points β platform design and social trust make it worse.
π One misplaced click on a fraudulent ad or link can unleash malware or phishing across your organisation.
πΈ The average breach cost in South Africa hit R53 million in 2024 β human error is the price tag.
π‘οΈ At AUMINT.io we simulate real-world social media use and messaging staffing-paths to surface your human risk surface and harden your defences.
π Want to see where your weakest exposure is? Schedule your demo
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Job Seekers Under Fire β How Attackers Use Fake Recruitment to Deploy Advanced Malware
π΅οΈββοΈ Job-Seekers Are the New Frontline for Cyber Attacks
π A threat group called BatShadow is targeting job-seekers and marketers with fake recruitment emails delivering a Go-based backdoor called Vampire Bot.
π§ The lure arrives as a ZIP file claiming to be a job description. Inside: a decoy PDF and a disguised β.pdf.exeβ file that launches an infection chain.
π» The malware profiles the host, captures screenshots, steals credentials, and connects to a remote attacker server β blending into normal traffic and staying hidden.
β οΈ 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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π Ready to find your weakest link before hackers do? Schedule your demo
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SnoopLens Flaw: Your WhatsApp and Signal Chats May Not Be as Private as You Think
A Note on Our Content: We believe in the value of human expertise. All insights and research presented here are originally crafted by our team, though we utilize Artificial Intelligence to refine our phrasing and ensure the highest standard of English clarity. If you...