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Home   »   Author / Trend Micro Forward-Looking Threat Research Team

FTR

When PSD2 Opens More Doors: The Risks of Open Banking

  • Posted on:September 17, 2019
  • Posted in:Bad Sites, Internet of Things, Malware, Mobile, Ransomware, Vulnerabilities
  • Posted by:
    Trend Micro Forward-Looking Threat Research Team
0

We looked into the security implications of the changing banking paradigm with PSD2 in place. Our research highlights the current and new risks that the financial industry will have to defend against, and predict how cybercriminals will abuse and attack Open Banking.

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Tags: EuropeOpen BankingPSD2research

Stolen Data from Chinese Hotel Chain and Other Illicit Products Sold in Deep Web Forum

  • Posted on:September 7, 2018
  • Posted in:Deep Web
  • Posted by:
    Trend Micro Forward-Looking Threat Research Team
0

We uncovered personally identifiable information (PII) stolen from a China-based hotel chain being sold on a deep web forum we were monitoring. Further analysis revealed that the stolen data was not only the PII of Chinese customers, but also included the hotel chain’s customers from Western and East Asian countries. The sample data we saw was unencrypted (in plaintext), some of which were in CSV, SQL, and TXT dumps.

We believe this stolen data is related to the data breach (reported on August 29) that exposed up to 130 million PII. The news that reported the data breach matched with an advertisement we saw in the dark web selling the stolen data for eight bitcoins (equivalent to more than US$58,000 as of September 5, 2018).

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Tags: cybercriminal undergroundDeep Web

How Machine Learning Can Help Identify Web Defacement Campaigns

  • Posted on:August 9, 2018
  • Posted in:Machine Learning
  • Posted by:
    Trend Micro Forward-Looking Threat Research Team
0

Website defacement — the act of visibly altering the pages of a website, notably in the aftermath of a political event to advance the political agenda of a threat actor— has been explored in our various research works. We broke down top defacement campaigns in a previous paper and, in another post, emphasized how machine learning in our security research tool can help Computer Emergency Readiness Teams (CERTs)/Computer Security Incident Response Teams (CSIRTs) and web administrators prepare for such attacks. The latter took off from the analysis done in our most recent paper, Web Defacement Campaigns Uncovered: Gaining Insights From Deface Pages Using DefPloreX-NG. Here we expound on why machine learning (ML) was an ideal method for our analysis to better understand how web defacers operate and organize themselves.

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Tags: DefPloreX-NGweb defacement

Attack Vectors in Orbit: The Need for IoT and Satellite Security in the Age of 5G

  • Posted on:June 11, 2018
  • Posted in:Internet of Things
  • Posted by:
    Trend Micro Forward-Looking Threat Research Team
0

Already a vital part of the critical infrastructure of the internet, satellites are set to take on a more significant role with the emergence of 5G cellular network technology and the continuing expansion of the internet of things (IoT). While terrestrial networks handle peak load well, disaster handling and critical infrastructure scenarios are served well by satellites, which are unaffected by most ground-based events. Ensuring the security of satellites, therefore, acquires even greater importance and warrants more initiatives to that end.

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Tags: 5giiotindustrial internet of thingsinternet of thingssatellites

Using Insights From DefPloreX-NG to Thwart Web Defacement Attacks

  • Posted on:June 7, 2018
  • Posted in:Bad Sites, Machine Learning
  • Posted by:
    Trend Micro Forward-Looking Threat Research Team
0

The ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS) is an avenue for cybersecurity research breakthroughs, techniques, and tools. At the ACM ASIACCS 2018 in Incheon, South Korea, we presented our research using DefPloreX-NG, a tool for identifying and tracking web defacement campaigns using historical and live data. “DefPloreX-NG” is a play on the phrase “defacement explorer.” The appended “NG” acronym means “Next Generation,” signifying improvements from the previous version of the tool. DefPloreX-NG is equipped with an enhanced machine learning algorithm and new visualization templates to give security analysts and other professionals a better understanding of web defacement campaigns.

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Tags: CERTsDefPloreX-NGmachine learningweb defacement
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Security Predictions for 2020

  • Cybersecurity in 2020 will be viewed through many lenses — from differing attacker motivations and cybercriminal arsenal to technological developments and global threat intelligence — only so defenders can keep up with the broad range of threats.
    Read our security predictions for 2020.

Business Process Compromise

  • Attackers are starting to invest in long-term operations that target specific processes enterprises rely on. They scout for vulnerable practices, susceptible systems and operational loopholes that they can leverage or abuse. To learn more, read our Security 101: Business Process Compromise.

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