Forescout Research –
Vedere Labs

“Vedere” is the Italian word meaning “to see,” which epitomizes the mission of Forescout Vedere Labs, the cybersecurity research arm of Forescout. Our team of global experts focuses on increasing visibility of cybersecurity threats and vulnerabilities for all connected asset types and providing mitigation steps organizations can use to protect themselves.

Our research is fed into the Forescout Platform and shared with the cybersecurity community, including CISA and other cybersecurity agencies, CERTs, ISACs, open-source projects, device manufacturers, universities and other researchers.

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What We Do

Vulnerability Research

Vulnerability Research

  • Focus on vulnerabilities against managed and unmanaged devices (IT/IoT/IoMT/OT)
  • 200+ vulnerabilities discovered in last 5 years
  • 100+ known exploited vulnerabilities on unmanaged devices
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Threat Reports

Threat Reports

  • Manual and automatic analysis of malware samples collected via customer telemetry and other sources
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Cyber Threat Intelligence

Threat Intelligence & Detection

  • Daily context-rich, machine-consumable threat feeds
  • Detection rules to keep our Threat Detection & Response solution on top of emerging threats
  • Live dashboards
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How We Do It

Forescout Vedere Labs studies what attackers are working towards by observing actual attacks in our sandboxes, on the Darknet and in our Adversary Engagement Environment. We analyze significant attacks and generate vulnerability and threat intelligence that is consumed by the Forescout Platform. We also create corresponding detection rules that are added to Forescout Threat Detection & Response to help ensure customers can protect their IT, OT, IoT and IoMT environments.

Firsthand Observations in Our Research Laboratory

Located in Eindhoven, Netherlands, our research laboratory is where we observe firsthand the vulnerabilities being exploited and attacks in progress. The information we collect is analyzed to generate threat intelligence, calculate multifactor risk scores and create detection rules.

Research Diagram

How Vedere Labs Uses Artificial Intelligence

 

VL threat intelligence is integrated on generative AI products, such as Microsoft Copilot for Security, allowing security analysts to query OT and IoT-specific threat intelligence directly from Forescout Research.

We also have integrated generative AI within our TDR solution, which summarizes proprietary intelligence that can be gathered about IP addresses and other indicators of compromises observed during an incident.

VL KEV: Our Proprietary List of Vulnerabilities

Our KEV list is compiled from real attacks we observe within our OT and IoT-specific honeypots, customer data and third-party intelligence. The list is complementary to industry-standard sources, such as CISA KEV. It is updated in tandem with other threat intelligence for Forescout eyeInspect and REM solutions. This type of intelligence allows users to prioritize vulnerability management actions based on what is currently being exploited by threat actors.

Partnerships and Threat Intelligence Sharing Groups

Vedere Labs is a proud member and contributor to threat intelligence sharing groups, including CERTs, cyber threat alliances and ISACs — where new intelligence and best practices are shared. Member organizations include industry, academia and governments where we share machine-readable intelligence and human-readable reports.

European Energy ISAC

Forescout is a founding member and actively participates in the threat intelligence task force.

ETHOS

Forescout is a founding member and part of the board of directors in this industry partnership dedicated to OT-centric, open-source sharing of anonymous early-warning threat information.

OT-ISAC

Forescout is a partner that shares reports, answers questions about emerging threats and presents at conferences and threat briefing meetings.

CISA JCDC and AIS

Forescout shares indicators of compromise and reports distributed to other members of the JCDC and IAS initiatives.

ACSC CTIS

Forescout shares indicators of compromise and reports distributed to other members of the CTIS initiative.

Data. Lots of Data.

The threat intelligence data we analyze comes from millions of connected devices that we monitor that give us billions of data points about device configuration and network behavior. It also comes from attacks we observe and dissect and other sources that we monitor.

Devices

  • 19 million monitored devices
  • 39 billion unique data points
  • 1,500 global sites
  • 6,500+ unique vendors
  • 2,300+ unique OS versions

Threats

  • 750+ threat actors
  • 100+ ransomware group leak sites
  • 20+ C2 types monitored on the Internet
  • Third-party intel

Forescout Research - Vedere Labs Featured In...

Researchers uncover software flaws leaving medical devices vulnerable to hackers

Researchers say they have found more than a dozen vulnerabilities in software used in medical devices and machinery used in other industries that, if exploited by a hacker, could cause critical equipment such as patient monitors to crash…

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Critical Bugs Expose Hundreds of Thousands of Medical Devices and ATMs

“You can imagine the type of impact an attacker could have when they can either exfiltrate data from medical equipment or other sensitive devices, potentially tamper with lab results, make critical devices unavailable, or take them over entirely…”

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Government cyber workers increasingly concerned hackers will strike during shutdown

The government’s cybersecurity professionals are increasingly concerned that hackers will take advantage of the partial shutdown to tamper with sensitive government data or steal citizens’ information — and that the bare-bones staff won’t be able to fend them off…

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OT:ICEFALL FINALE

Forescout Vedere Labs is wrapping up its yearlong project looking at design vulnerabilities in operational technology with a closing report today that blames many of the issues they’ve encountered on vendors of the technology not implementing designs that would build security into the systems…

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Dray:Break

In 2024, routers are a primary target for cybercriminals and state-sponsored attackers – and are the riskiest device category on networks. We investigated one hardware vendor, DrayTek, with a history of security flaws to help it address its issues and prevent new attacks — especially when ransomware and denial of service attacks are so high today.

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Forescout Research. In Your Inbox. Every Month

With 13 cyber attacks every second, it’s hard to keep up.

To help, Vedere Labs now has its own newsletter. Curated by our research leaders, you’ll receive the most crucial information you need to stay ahead of attackers.

It’s loaded with useful context, links and spotlights on threat actors, newly exploited vulnerabilities and other must-know asset intelligence. Once a month. Nice and easy.

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Meet Our Leaders

Daniel dos Santos

Daniel dos Santos is the Head of Research at Forescout Vedere Labs, where he leads a team of researchers that identifies new vulnerabilities and monitors active threats. He holds a PhD in computer science, has published over 35 peer-reviewed papers, has found or disclosed hundreds of CVEs — and is a frequent speaker at security conferences.

Rik Ferguson

Rik Ferguson is the Vice President of Security Intelligence at Forescout. He is also a founding Special Advisor to Europol’s European Cyber Crime Centre (EC3), a multi-award-winning producer and writer, a Fellow of the Royal Society of the Arts and board advisor to startups. With 30 years of professional experience, Rik is a world-renowned speaker, and in April 2011 he was inducted into the Infosecurity Hall of Fame.

Elisa Costante

As Vice President of Threat Research at Forescout, Elisa Costante leads the activities of Forescout Vedere Labs. She has 10+ years of experience researching the security challenges posed by IT/OT/IoT convergence. Previously, she was CTO at SecurityMatters, where she led product innovation activities in the field of network intrusion detection. Elisa holds a PhD in cybersecurity from the Eindhoven University of Technology, where she specialized in machine learning techniques for data leakage detection.

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