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November 3, 2021

Defending Against Living Off the Land Cyber Attacks

Find out how hackers utilize living off the land techniques to navigate environments without detection and how to safeguard against these threats.
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Oakley Cox
Director of Product
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03
Nov 2021

What is Living off the Land attack?

While the term was first coined in 2013, Living off the Land tools, techniques, and procedures (TTPs) have boomed in popularity in recent years. In part, this is because the traditional approach of defensive security — blocklisting file hashes, domains, and other traces of threats encountered in previous attacks — is ill-equipped to identify these attacks. So these stealthy, often fileless attacks, have pushed their way into the mainstream.

Definition and overview

Living off the Land is a strategy which involves threat actors leveraging the utilities readily available within the target organization’s digital environment to move through the cyber kill chain. This is a popular method because It is often cheaper, easier, and more effective to make use of an organization’s own infrastructure in an attempt to attack rather than writing bespoke malware for every heist.

How does Living off the Land attack work?

Living off the Land attacks have a particular history in highly organized, targeted hacking. Advanced Persistent Threat (APT) groups have long favored Living off the Land TTPs, since evasion is a top priority. And trends show that ransomware groups are opting for human-operated ransomware that relies heavily on Living off the Land techniques, instead of commodity malware.

Among some of the most commonly used tools exploited for nefarious purposes are Powershell, Windows Management Interface (WMI), and PsExec. These tools are regularly used by network administrators as part of their daily routines, and traditional security tools reliant on static rules and signatures often have a hard time distinguishing between legitimate and malicious use.

Living off the Land attack techniques

Before a threat actor turns your infrastructure against you in a Living off the Land attack, they must be able to execute commands on a targeted system. Therefore, Living off the Land attacks are a post-infection framework for network reconnaissance, lateral movement, and persistence.

Once a device is infected, there are hundreds of system tools at the attacker’s disposal – these may be pre-installed on the system or downloaded via Microsoft-signed binaries. And, in the wrong hands, other trusted third-party administration tools on the network can also turn from friend to foe.

As Living off the Land techniques evolve, a single typical attack is hard to determine. However, we can group these TTPs in broader categories.

Microsoft-signed Living off the Land TTPs

Microsoft is ubiquitous in the business world and across industries. The Living off the Land Binaries and Scripts (LOLBAS) project aims to document all Microsoft-signed binaries and scripts that include functionality for APT groups in Living off the Land attacks. To date, there are 135 system tools on this list that are vulnerable to misuse, each aiding a different objective. These could be the creation of new user accounts, data compression and exfiltration, system information gathering, launching processes on a target destination or even the disablement of security services. Both Microsoft’s documentation of vulnerable pre-installed tools and the LOLBAS project are growing, non-exhaustive lists.

Command line exploitation

When it comes to delivering a malicious payload to the target, WMI (WMIC.exe), the command line tool (cmd.exe), and PowerShell (powershell.exe) were used most frequently by attackers, according to a recent study. These commonly exploited command line utilities are used during the configuration of security settings and system properties, provide sensitive network or device status updates, and facilitate the transfer and execution of files between devices.

Specifically, the command line group shares three key traits:

  1. They are readily available on Windows systems.
  2. They are frequently used by most administrators or internal processes to perform everyday tasks.
  3. They can perform their core functionalities without writing data to a disk.

Mimikatz

Mimikatz differs from other tools in that it is not pre-installed on most systems. It is an open-source utility used for the dumping of passwords, hashes, PINs and Kerberos tickets. While some network administrators may use Mimikatz to perform internal vulnerability assessments, it is not readily available on Windows systems.

Traditional security approaches used to detect the download, installation, and use of Mimikatz are often insufficient. There exists a wide range of verified and well documented techniques for obfuscating tooling like Mimikatz, meaning even an unsophisticated attacker can subvert basic string or hash-based detections.

Tips for stopping Living off the Land attacks

Living off the Land techniques have proven incredibly effective at enabling attackers to blend into organizations’ digital environments. It is normal for millions of credentials, network tools, and processes to be logged each day across a single digital ecosystem. So how can defenders spot malicious use of legitimate tools amidst this digital noise?

Network hygiene: As with most threats, basic network hygiene is the first step. This includes implementing the principle of least privilege, de-activating all unnecessary programs, setting up software whitelisting, and performing asset and application inventory checks. However, while these measures are a step in the right direction, with enough time a sophisticated attacker will always manage to work their way around them.

Self-Learning AI technology: This technology, exclusive to Darktrace, has become fundamental in shining a light on attackers using an organization’s own infrastructure against them. It learns any given unique digital environment from the ground up, understanding the ‘pattern of life’ for every device and user. Living off the Land attacks are therefore identified in real time from a series of subtle deviations. This might include a new credential or unusual SMB / DCE-RPC usage.

Its deep understanding of the business enables it to spot attacks that fly under the radar of other tools. With a Living off the Land attack, the AI will recognize that although usage of particular tool might be normal for an organization, the way in which that tool is used allows the AI to reveal seemingly benign behavior as unmistakably malicious.

Example of Self-Learning AI

Self-Learning AI might observe the frequent usage of Powershell user-agents across multiple devices, but will only report an incident if the user agent is observed on a device at an unusual time.

Similarly, Darktrace might observe WMI commands being sent between thousands of combinations of devices each day, but will only alert on such activity if the commands are uncommon for both the source and the destination.

And even the subtle indicators of Mimikatz exploitation, like new credential usage or uncommon SMB traffic, will not be buried among the normal operations of the infrastructure.

Final thoughts on Living off the Land techniques

Living off the Land techniques aren’t going away any time soon. Recognizing this, security teams are beginning to move away from ‘legacy’-based defenses that rely on historical attack data to catch the next attack, and towards AI that uses a bespoke and evolving understanding of its surroundings to detect subtle deviations indicative of a threat – even if that threat makes use of legitimate tools.

Thanks to Darktrace analysts Isabel Finn and Paul Jennings for their insights on the above threat find and supporting MITRE ATT&CK mapping.

Learn more about Self-Learning AI

Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Oakley Cox
Director of Product

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November 25, 2025

UK Cyber Security & Resilience Bill: What Organizations Need to Know

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Why the Bill has been introduced

The UK’s cyber threat landscape has evolved dramatically since the 2018 NIS regime was introduced. Incidents such as the Synnovis attack against hospitals and the British Library ransomware attack show how quickly operational risk can become public harm. In this context, the UK Department for Science, Innovation and Technology estimates that cyber-attacks cost UK businesses around £14.7 billion each year.

At the same time, the widespread adoption of AI has expanded organisations’ attack surfaces and empowered threat actors to launch more effective and sophisticated activities, including crafting convincing phishing campaigns, exploiting vulnerabilities and initiating ransomware attacks at unprecedented speed and scale.  

The CSRB responds to these challenges by widening who is regulated, accelerating incident reporting and tightening supply chain accountability, while enabling rapid updates that keep pace with technology and emerging risks.

Key provisions of the Cyber Security and Resilience Bill

A wider set of organisations in scope

The Bill significantly broadens the range of organisations regulated under the NIS framework.

  • Managed service providers (MSPs) - medium and large MSPs, including MSSPs, managed SOCs, SIEM providers and similar services,will now fall under NIS obligations due to their systemic importance and privileged access to client systems. The Information Commissioner’s Office (ICO) will act as the regulator. Government analysis anticipates that a further 900 to 1,100 MSPs will be in scope.
  • Data infrastructure is now recognised as essential to the functioning of the economy and public services. Medium and large data centres, as well as enterprise facilities meeting specified thresholds, will be required to implement appropriate and proportionate measures to manage cyber risk. Oversight will be shared between DSIT and Ofcom, with Ofcom serving as the operational regulator.
  • Organisations that manage electrical loads for smart appliances, such as those supporting EV charging during peak times, are now within scope.

These additions sit alongside existing NIS-regulated sectors such as transport, energy, water, health, digital infrastructure, and certain digital services (including online marketplaces, search engines, and cloud computing).

Stronger supply chain requirements

Under the CSRB, regulators can now designate third-party suppliers as ‘designated critical suppliers’ (DCS) when certain threshold criteria are met and where disruption could have significant knock-on effects. Designated suppliers will be subject to the same security and incident-reporting obligations as Operators of Essential Services (OES) and Relevant Digital Service Providers (RDSPs).

Government will scope the supply chain duties for OES and RDSPs via secondary legislation, following consultation. infrastructure incidents where a single supplier’s compromise caused widespread disruption.

Faster incident reporting

Sector-specific regulators, 12 in total, will be responsible for implementing the CSRB, allowing for more effective and consistent reporting. In addition, the CSRB introduces a two-stage reporting process and expands incident reporting criteria. Regulated entities must submit an initial notification within 24 hours of becoming aware of a significant incident, followed by an incident report within 72 hours. Incident reporting criteria are also broadened to capture incidents beyond those which actually resulted in an interruption, ensuring earlier visibility for regulators and the National Cyber Security Centre (NCSC). The importance of information sharing across agencies, law enforcement and regulators is also facilitated by the CSRB.

The reforms also require data centres and managed service providers to notify affected customers where they are likely to have been impacted by a cyber incident.

An agile regulatory framework

To keep pace with technological change, the CSRB will enable the Secretary of State to update elements of the framework via secondary legislation. Supporting materials such as the NCSC Cyber Assessment Framework (CAF) are to be "put on a stronger footing” allowing for requirements to be more easily followed, managed and updated. Regulators will also now be able to recover full costs associated with NIS duties meaning they are better resourced to carry out their associated responsibilities.

Relevant Managed Service Providers must identify and take appropriate and proportionate measures to manage risks to the systems they rely on for providing services within the UK. Importantly, these measures must, having regard to the state of the art, ensure a level of security appropriate to the risk posed, and prevent or minimise the impact of incidents.

The Secretary of State will also be empowered to issue a Statement of Strategic Priorities, setting cross-regime outcomes to drive consistency across the 12 competent authorities responsible for implementation.

Penalties

The enforcement framework will be strengthened, with maximum fines aligned with comparable regimes such as the GDPR, which incorporate maximums tied to turnover. Under the CSRB, maximum penalties for more serious breaches could be up to £17 million or 4% of global turnover, whichever is higher.

Next steps

The Bill is expected to progress through Parliament over the course of 2025 and early 2026, with Royal Assent anticipated in 2026. Once enacted, most operational measures will not take immediate effect. Instead, Government will bring key components into force through secondary legislation following further consultation, providing regulators and industry with time to adjust practices and prepare for compliance.

Anticipated timeline

  • 2025-2026: Parliamentary scrutiny and passage;
  • 2026: Royal Assent;  
  • 2026 consultation: DSIT intends to consult on detailed implementation;
  • From 2026 onwards: Phased implementation via secondary legislation, following further consultation led by DSIT.

How Darktrace can help

The CSRB represents a step change in how the UK approaches digital risk, shifting the focus from compliance to resilience.

Darktrace can help organisations operationalise this shift by using AI to detect, investigate and respond to emerging threats at machine speed, before they escalate into incidents requiring regulatory notification. Proactive tools which can be included in the Darktrace platform allow security teams to stress-test defences, map supply chain exposure and rehearse recovery scenarios, directly supporting the CSRB’s focus on resilience, transparency and rapid response. If an incident does occur, Darktrace’s autonomous agent, Cyber AI Analyst, can accelerate investigations and provide a view of every stage of the attack chain, supporting timely reporting.  

Darktrace’s AI can provide organisations with a vital lens into both internal and external cyber risk. By continuously learning patterns of behaviour across interconnected systems, Darktrace can flag potential compromise or disruption to detect supply chain risk before it impacts your organisation.

In a landscape where compliance and resilience go hand in hand, Darktrace can equip organisations to stay ahead of both evolving threats and evolving regulatory requirements.

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November 20, 2025

Managing OT Remote Access with Zero Trust Control & AI Driven Detection

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The shift toward IT-OT convergence

Recently, industrial environments have become more connected and dependent on external collaboration. As a result, truly air-gapped OT systems have become less of a reality, especially when working with OEM-managed assets, legacy equipment requiring remote diagnostics, or third-party integrators who routinely connect in.

This convergence, whether it’s driven by digital transformation mandates or operational efficiency goals, are making OT environments more connected, more automated, and more intertwined with IT systems. While this convergence opens new possibilities, it also exposes the environment to risks that traditional OT architectures were never designed to withstand.

The modernization gap and why visibility alone isn’t enough

The push toward modernization has introduced new technology into industrial environments, creating convergence between IT and OT environments, and resulting in a lack of visibility. However, regaining that visibility is just a starting point. Visibility only tells you what is connected, not how access should be governed. And this is where the divide between IT and OT becomes unavoidable.

Security strategies that work well in IT often fall short in OT, where even small missteps can lead to environmental risk, safety incidents, or costly disruptions. Add in mounting regulatory pressure to enforce secure access, enforce segmentation, and demonstrate accountability, and it becomes clear: visibility alone is no longer sufficient. What industrial environments need now is precision. They need control. And they need to implement both without interrupting operations. All this requires identity-based access controls, real-time session oversight, and continuous behavioral detection.

The risk of unmonitored remote access

This risk becomes most evident during critical moments, such as when an OEM needs urgent access to troubleshoot a malfunctioning asset.

Under that time pressure, access is often provisioned quickly with minimal verification, bypassing established processes. Once inside, there’s little to no real-time oversight of user actions whether they’re executing commands, changing configurations, or moving laterally across the network. These actions typically go unlogged or unnoticed until something breaks. At that point, teams are stuck piecing together fragmented logs or post-incident forensics, with no clear line of accountability.  

In environments where uptime is critical and safety is non-negotiable, this level of uncertainty simply isn’t sustainable.

The visibility gap: Who’s doing what, and when?

The fundamental issue we encounter is the disconnect between who has access and what they are doing with it.  

Traditional access management tools may validate credentials and restrict entry points, but they rarely provide real-time visibility into in-session activity. Even fewer can distinguish between expected vendor behavior and subtle signs of compromise, misuse or misconfiguration.  

As a result, OT and security teams are often left blind to the most critical part of the puzzle, intent and behavior.

Closing the gaps with zero trust controls and AI‑driven detection

Managing remote access in OT is no longer just about granting a connection, it’s about enforcing strict access parameters while continuously monitoring for abnormal behavior. This requires a two-pronged approach: precision access control, and intelligent, real-time detection.

Zero Trust access controls provide the foundation. By enforcing identity-based, just-in-time permissions, OT environments can ensure that vendors and remote users only access the systems they’re explicitly authorized to interact with, and only for the time they need. These controls should be granular enough to limit access down to specific devices, commands, or functions. By applying these principles consistently across the Purdue Model, organizations can eliminate reliance on catch-all VPN tunnels, jump servers, and brittle firewall exceptions that expose the environment to excess risk.

Access control is only one part of the equation

Darktrace / OT complements zero trust controls with continuous, AI-driven behavioral detection. Rather than relying on static rules or pre-defined signatures, Darktrace uses Self-Learning AI to build a live, evolving understanding of what’s “normal” in the environment, across every device, protocol, and user. This enables real-time detection of subtle misconfigurations, credential misuse, or lateral movement as they happen, not after the fact.

By correlating user identity and session activity with behavioral analytics, Darktrace gives organizations the full picture: who accessed which system, what actions they performed, how those actions compared to historical norms, and whether any deviations occurred. It eliminates guesswork around remote access sessions and replaces it with clear, contextual insight.

Importantly, Darktrace distinguishes between operational noise and true cyber-relevant anomalies. Unlike other tools that lump everything, from CVE alerts to routine activity, into a single stream, Darktrace separates legitimate remote access behavior from potential misuse or abuse. This means organizations can both audit access from a compliance standpoint and be confident that if a session is ever exploited, the misuse will be surfaced as a high-fidelity, cyber-relevant alert. This approach serves as a compensating control, ensuring that even if access is overextended or misused, the behavior is still visible and actionable.

If a session deviates from learned baselines, such as an unusual command sequence, new lateral movement path, or activity outside of scheduled hours, Darktrace can flag it immediately. These insights can be used to trigger manual investigation or automated enforcement actions, such as access revocation or session isolation, depending on policy.

This layered approach enables real-time decision-making, supports uninterrupted operations, and delivers complete accountability for all remote activity, without slowing down critical work or disrupting industrial workflows.

Where Zero Trust Access Meets AI‑Driven Oversight:

  • Granular Access Enforcement: Role-based, just-in-time access that aligns with Zero Trust principles and meets compliance expectations.
  • Context-Enriched Threat Detection: Self-Learning AI detects anomalous OT behavior in real time and ties threats to access events and user activity.
  • Automated Session Oversight: Behavioral anomalies can trigger alerting or automated controls, reducing time-to-contain while preserving uptime.
  • Full Visibility Across Purdue Layers: Correlated data connects remote access events with device-level behavior, spanning IT and OT layers.
  • Scalable, Passive Monitoring: Passive behavioral learning enables coverage across legacy systems and air-gapped environments, no signatures, agents, or intrusive scans required.

Complete security without compromise

We no longer have to choose between operational agility and security control, or between visibility and simplicity. A Zero Trust approach, reinforced by real-time AI detection, enables secure remote access that is both permission-aware and behavior-aware, tailored to the realities of industrial operations and scalable across diverse environments.

Because when it comes to protecting critical infrastructure, access without detection is a risk and detection without access control is incomplete.

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About the author
Pallavi Singh
Product Marketing Manager, OT Security & Compliance
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