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Cyber Security News
Managedmethods
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In The News | K-12 Schools Are a Prime Target for Cybercriminals
- Cybercrime is a global threat impacting all industries, with constantly evolving methods employed by bad actors.
- K-12 schools are prime targets for cybercriminals due to the valuable personal information they store, such as student medical records and social security numbers.
- The educational sector lacks the budget to employ state-of-the-art cybersecurity defense mechanisms, making it more vulnerable to cyberattacks.
- The need to better protect student data in K-12 schools is highlighted as cybercriminals continue to target this sector.
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Dev
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How to prevent DNS Spoofing in AWS.
- DNS spoofing, also known as DNS cache poisoning, involves introducing false DNS information into a resolver's cache to redirect users to malicious websites.
- DNS was developed without robust security measures, allowing incorrect DNS data to remain until TTL expires.
- The Domain Name System (DNS) assigns human-readable domains to IP addresses and uses authoritative nameservers for resolution.
- DNS resolvers cache DNS data to improve performance, but this can be exploited in DNS cache poisoning attacks.
- DNS cache poisoning attacks involve impersonating DNS nameservers to provide false IP addresses and redirect traffic.
- Attackers use techniques like man-in-the-middle attacks, DNS server hijacking, and spam for DNS spoofing.
- Risks of DNS poisoning include data theft, malware infection, halting security updates, and censorship.
- Preventing DNS poisoning involves using DNS spoofing detection tools, DNSSEC, encryption, and being cautious as an endpoint user.
- AWS Firewall Manager offers centralized protection across accounts and resources, including AWS WAF, Shield Advanced, VPC security groups, and Route 53 Resolver DNS Firewall.
- Firewall Manager simplifies administration, applies protections across accounts, and provides centralized monitoring of DDoS attacks.
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Cybersecurity-Insiders
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Staying Ahead of the Curve: Combating Morphing Malware with AI and Human Oversight
- Morphing malware leverages AI to dynamically alter its structure, evading detection and complicating traditional security measures.
- Traditional security solutions are ill-equipped to handle the agility and constant evolution of morphing malware, leaving organizations exposed to rapidly changing threats.
- The consequences of failing to address morphing malware include financial loss, intellectual property theft, and reputational damage.
- To combat morphing malware, organizations should adopt proactive, AI-driven solutions for threat detection, combined with human oversight for interpretation and decision-making.
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Pymnts
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Australia and Brazil’s Shared Vision for the Future of Checkout
- Brazil and Australia are prioritizing the checkout experience with innovations in payment technology.
- In Brazil, the core innovations in the checkout transformation include network tokenization and biometric authentication.
- Large Brazilian merchants are proactively requesting technical upgrades, bridging the communication gap with payment service providers (PSPs).
- Australia aims to enhance the online checkout experience by integrating Click to Pay and addressing the billion-dollar card fraud problem.
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Securityaffairs
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U.S. CISA adds Advantive VeraCore and Ivanti EPM flaws to its Known Exploited Vulnerabilities catalog
- U.S. Cybersecurity and Infrastructure Security Agency (CISA) adds Advantive VeraCore and Ivanti EPM flaws to its Known Exploited Vulnerabilities catalog.
- Vietnamese cybercrime group XE Group is exploiting the Advantive VeraCore vulnerabilities, deploying reverse shells and web shells for remote access.
- No real-world attacks exploiting the Ivanti EPM flaws have been reported, but PoC exploit code is available.
- CISA orders federal agencies to address these vulnerabilities by March 31, 2025.
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Medium
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AI for Security & Privacy: A Beginner’s Guide
- AI is actively used in fraud detection and data anonymization, providing real-world security solutions.
- Machine learning, a subset of AI, enables systems to learn patterns and make decisions without explicit programming.
- Deep learning, a more advanced form of machine learning, uses neural networks to improve accuracy over time in tasks like facial recognition.
- Neural networks, the backbone of deep learning, process data in layers, aiding in handling large datasets effectively for cybersecurity.
- Understanding concepts like neural networks, algorithms, and data anonymization is crucial for grasping AI's role in security.
- AI technologies like machine learning are vital in detecting fraudulent activities, phishing attempts, and identity theft in real time.
- Privacy-Enhancing Technologies (PETs), such as data anonymization and encrypted distributed analysis, safeguard sensitive data while retaining analytical value.
- Balancing security, privacy, and risk requires clear methodologies and strategies to protect systems and user privacy.
- Ethical implementation of AI involves ensuring fairness, transparency, and user consent, aligning with global standards like GDPR.
- Implementing advanced tools, such as real-time threat detection and automation, enhances cyber defense strategies effectively.
- Adhering to security frameworks like GDPR, NIST, and OWASP helps organizations mitigate threats, reduce risks, and build trust in digital environments.
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Cybersecurity-Insiders
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Strengthening Data Security: Mitigating Double Extortion Ransomware Attacks
- Newspaper publishing giant Lee Enterprises has been suffering from a ransomware attack for over one month, allegedly conducted by the Qilin ransomware group.
- Critical applications were encrypted, causing disruptions to operations and delays in payments.
- The attack used double extortion ransomware, where sensitive data was exfiltrated before being encrypted to leverage ransom payment.
- To mitigate such attacks, organizations should implement data security measures such as data security posture management, data access governance, and data detection and response.
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Securityaffairs
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Cybersecurity Challenges in Cross-Border Data Transfers and Regulatory Compliance Strategies
- Cross-border data transfers play a crucial role in global business operations but face cybersecurity challenges from diverse laws and cyber threats. The reliance on data movement across borders for e-commerce, cloud computing, and financial transactions exposes organizations to risks of cyberattacks and data breaches.
- The complexity arises from differing national cybersecurity policies and data protection regulations that organizations must navigate while ensuring data security in cross-border transfers. Governments have implemented stringent laws like GDPR, China's Cybersecurity Law, and the US's CLOUD Act to regulate international data flow.
- Challenges in cross-border data transfers include cyber threats, legal inconsistencies, and geopolitical factors, necessitating robust security and compliance strategies. Cyberattacks targeting data transfers exploit vulnerabilities in international exchange systems and challenge data integrity and confidentiality.
- Legal and regulatory disparities across jurisdictions create compliance challenges for organizations navigating multiple data protection laws. The lack of a unified global regulatory framework leads to inefficiencies and potential legal risks for multinational corporations.
- Geopolitical tensions and economic disputes impact the security of cross-border data transfers, forcing companies to comply with trade restrictions, data localization laws, and government surveillance policies. Proactive engagement with regulators and compliance frameworks can help mitigate risks.
- Regulatory compliance strategies involve legal agreements, security frameworks, and privacy-enhancing technologies to ensure data protection and legal adherence in international data transfers. Privacy-enhancing technologies like encryption and data masking enhance security during cross-border transactions.
- Data localization compliance strategies, continuous monitoring, and compliance automation are vital for organizations to navigate evolving data protection regulations. AI, ML, and blockchain technologies aid in automating compliance tasks, predicting risks, and ensuring regulatory adherence.
- Maintaining compliance with international data regulations is crucial to avoid fines, legal actions, and reputational damage. Organizations must invest in compliance automation, cybersecurity awareness, and collaboration with policymakers to navigate the dynamic cybersecurity landscape.
- A comprehensive approach that combines legal frameworks, privacy-enhancing technologies, and compliance automation is necessary to address the complexities of cross-border data transfers. Continuous adaptation to emerging cybersecurity challenges and regulatory reforms is essential for secure and compliant data exchange.
- Author Arfi Siddik Mollashaik, a Solution Architect at Securiti.ai, specializes in data security, privacy, and compliance for global organizations. With experience in enhancing data protection programs, he emphasizes investments in compliance automation and cybersecurity awareness to mitigate risks.
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Cybersecurity-Insiders
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Can Data Security Affect SEO Efforts Put Forward by a Company?
- Data security can have a significant impact on a company's SEO efforts, influencing factors like website rankings, user trust, and site performance.
- Google prioritizes secure websites using HTTPS encryption, making it a ranking factor that can affect SEO outcomes.
- User behavior is influenced by trust signals, and a lack of data security measures can lead to reduced engagement and conversions, impacting SEO.
- Data breaches can harm a company's SEO by damaging its reputation, reducing trustworthiness, and affecting search engine rankings.
- Site speed is crucial for SEO, and security measures that slow down websites can negatively impact rankings and user experience.
- Google's algorithm updates increasingly focus on security, trust, and user experience, making data security a critical aspect of SEO strategy.
- Non-compliance with privacy laws and regulations can lead to penalties, fines, and even removal from search engine indexes, affecting SEO efforts.
- Prioritizing data security is essential for improving website trustworthiness, legal compliance, and overall SEO success in a competitive digital environment.
- As search engines evolve and user expectations regarding privacy grow, integrating robust data security practices becomes crucial for maintaining online visibility and SEO performance.
- By ensuring a secure and trustworthy website, companies can safeguard their users and enhance their SEO efforts, essential for success in the digital landscape.
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Cybersecurity-Insiders
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Ship hacked to burn US Military Oil Tanker into a Fireball
- Twitter (now known as X) servers were targeted in a DDoS attack, causing disruption for two hours.
- A Portuguese cargo ship, MV Solong, had its GPS system hacked, resulting in a collision with a US military oil tanker and causing a massive explosion.
- Millions of liters of oil from the tanker have spilled into the North Sea, posing a severe environmental threat to marine life.
- Experts suspect a Russian hacker group orchestrated the attack, and the incident is being investigated by US intelligence and Pentagon teams.
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Analyticsindiamag
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From the US Navy and Intel to Lenovo, Doug Fisher’s Mission to Secure AI
- AI is emerging as a critical tool in enhancing cybersecurity mechanisms, despite also being used by threat actors to fuel cyberattacks.
- Companies like Lenovo are using AI to predict, detect, and neutralize threats.
- AI-powered phishing and hacking are becoming more sophisticated, necessitating AI-driven cybersecurity solutions.
- Lenovo integrates AI into its cybersecurity framework, partnering with AI-based security firms to develop proactive threat detection systems.
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Medium
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Importance of Input Encoding in Webapps
- Input encoding is important in web applications to prevent security vulnerabilities like SQL injection attacks.
- Input encoding converts user input to a pre-determined format, ensuring that the input is not misinterpreted.
- Common encoding techniques, such as UTF-8, add escape characters before special characters to avoid misinterpretation of data.
- Canonicalization, which refers to using one consistent format for data communication, further safeguards applications from attacks.
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Adamlevin
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Max McCoy Investigates $47 Million That Isn’t in Kansas Anymore
- Max McCoy investigates a $47 million swindle that involves small town corruption, secretive law enforcement, and competing theories.
- The story, centered in Elkhart, Kansas, appears to be a pig butchering scam, but could it be a control fraud?
- The Tinfoil Swan provides insights on fake invoices and how to avoid falling for them.
- Listen to the podcast 'What the Hack with Adam Levin' for more on the investigation.
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Dev
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Ethical Hacking vs Black Hat Hacking – What’s the Difference?
- Ethical Hacking involves testing security systems to find and fix vulnerabilities before malicious hackers can exploit them.
- Ethical Hackers (White Hat Hackers) help companies and governments secure their systems from cyberattacks.
- Black Hat Hackers use illegal methods for data theft, hacking, and cybercrime.
- Ethical Hacking is a legal and high-paying career, while Black Hat Hacking is illegal and risky.
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Medium
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Identify and Access Monitoring (IAM) and its importance in cybersecurity.
- IAM, or Identity and Access Management, is a policy that aims to use the principle of least privilege.
- IAM is an umbrella term that refers to the management of privileges associated with user identities.
- IAM can involve various authentication factors, such as knowledge (password), possession (physical token), and inherence (biometrics).
- The integration of IAM and Zero Trust strengthens security by dynamically granting access based on real-time risk assessments.
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