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July 30, 2019

Digitizing the Dark: Cyber-Attacks Against Power Grids

State-sponsored cyber-attacks continue to target massive energy grids, posing a legitimate threat to modern civilization. Learn more about this threat here.
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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.
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30
Jul 2019

Among all historical discoveries, none has transformed civilization quite like electricity. From the alarm clock that wakes you up in the morning to the lights you flip off before falling asleep, the modern world has largely been made possible by electric power — a fact we tend only to reflect on with annoyance when our phones run out of battery.

However, the days of taking for granted our greatest discovery may well be nearing an end. As international conflict migrates to the digital domain, state-sponsored cyber-criminals are increasingly targeting energy grids, with the intention of causing outages that could bring victimized regions to a screeching halt. And ironically, the more advanced our illuminated world of electronics becomes, the more proficient these cyber-attacks will be at sending society back to the Dark Ages.

The light bulb goes off

On December 23, 2015, at the Prykarpattyaoblenergo power plant in Western Ukraine, a worker noticed his computer cursor quietly flitting across the screen of its own accord.

Unbeknownst to all but a select few criminals, the worker was, in fact, witnessing the dawn of a new era of cyber warfare. For the next several minutes, the cursor systematically clicked open one circuit breaker after another, leaving more than 230,000 Ukrainians without power. The worker could only watch as the cursor then logged him out of the control panel, changed his password, and shut down the backup generator at the plant itself.

As the first documented outage precipitated by a cyber-attack, the incident provoked speculation from the global intelligence community that nation-state actors had been involved, particularly given the sophisticated tactics in question. Indeed, blackouts that plunge entire cities — or even entire countries — in darkness are a devastating tactic in the geopolitical chess game. Unlike direct acts of war, online onslaughts are difficult to trace, shielding those responsible from the international backlash that accompanies military aggression. And with rival economies racing to invent the next transformative application of electricity, it stands to reason that adversaries would attempt to win that race by literally turning off the other’s lights.

Since the watershed Ukraine attack, the possibility of a similar strike has been a top-of-mind concern for governments around the globe. In March 2018, both American and European utilities were hit by a large-scale attack that could have “shut power plants off at will” if so desired, but which seemed intended instead for surveillance and intimidation purposes. While such attacks may originate in cyberspace, any escalation beyond mere warning shots would have dramatic consequences in the real world.

Smart meters, smarter criminals

Power distribution grids are sprawling, complex environments, controlled by digital systems, and composed of a vast array of substations, relays, control rooms, and smart meters. Between legacy equipment running decades-old software and new IIoT devices designed without rudimentary security controls, these bespoke networks are ripe with zero-day vulnerabilities. Moreover, because conventional cyber defenses are designed only to spot known threats facing traditional IT, they are blind to novel attacks that target such unique machines.

Among all of these machines, smart meters — which communicate electricity consumption back to the supplier — are notoriously easy to hack. And although most grids are designed to avoid this possibility, the rapid adoption of such smart meters presents a possible gateway for threat-actors seeking to access a power grid’s control system. In fact, disabling individual smart meters could be sufficient to sabotage the entire grid, even without hijacking that control system itself. Just a 1% change in electricity demand could prompt a grid to shut down in order to avoid damage, meaning that it might not take many compromised meters to reach the breaking point.

More alarming still, a large and sudden enough change in electricity demand could create a surge that inflicts serious physical damage and produces enduring blackouts. Smart energy expert Nick Hunn asserts that, in this case, “the task of repairing the grid and restoring reliable, universal supply can take years.”

Empowering the power plant

Catching suspicious activity on an energy grid requires a nuanced and evolving understanding of how the grid typically functions. Only this understanding of normalcy for each particular environment — comprised of millions of ever-changing online connections — can reveal the subtle anomalies that accompany all cyber-attacks, whether or not they’ve been seen before.

The first step is visibility: knowing what’s happening across these highly distributed networks in real time. The most effective way to do this is to monitor the network traffic generated by the control systems, as OT machines themselves rarely support security agent software. Fortunately, in most power grid architectures, these machines communicate with a central SCADA server, which can therefore provide visibility over much of the grid. However, traffic from the control system is not sufficient to see the total picture, since remote substations can be directly compromised by physical access or serve as termination points for a web of smart meters. To achieve total oversight, dedicated monitoring probes can be deployed into key remote locations.

Once you get down to this level — monitoring the bespoke and often antiquated systems inside substations — you have firmly left the world of commodity IT behind. Rather than dealing with standard Windows systems and protocols, you are now facing a jungle of custom systems and proprietary protocols, an environment that off-the-shelf security solutions are not designed to handle.

The only way to make sense of these environments is to avoid predefining what they look like, instead using artificial intelligence that self-learns to differentiate between normal and abnormal behavior for each power grid while ‘on the job’. Vendor- and protocol-agnostic, such self-learning tools are singularly capable of detecting threats against both outdated machines and new IIoT devices. And with power plants and energy grids fast becoming the next theater of cyber warfare, the switch to AI security and cybersecurity for utilities cannot come soon enough.

To learn more about how self-learning AI tools defend power grids and critical infrastructure, check out our white paper: Cyber Security for Industrial Control Systems: A New Approach.

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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.
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January 13, 2026

Runtime Is Where Cloud Security Really Counts: The Importance of Detection, Forensics and Real-Time Architecture Awareness

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Introduction: Shifting focus from prevention to runtime

Cloud security has spent the last decade focused on prevention; tightening configurations, scanning for vulnerabilities, and enforcing best practices through Cloud Native Application Protection Platforms (CNAPP). These capabilities remain essential, but they are not where cloud attacks happen.

Attacks happen at runtime: the dynamic, ephemeral, constantly changing execution layer where applications run, permissions are granted, identities act, and workloads communicate. This is also the layer where defenders traditionally have the least visibility and the least time to respond.

Today’s threat landscape demands a fundamental shift. Reducing cloud risk now requires moving beyond static posture and CNAPP only approaches and embracing realtime behavioral detection across workloads and identities, paired with the ability to automatically preserve forensic evidence. Defenders need a continuous, real-time understanding of what “normal” looks like in their cloud environments, and AI capable of processing massive data streams to surface deviations that signal emerging attacker behavior.

Runtime: The layer where attacks happen

Runtime is the cloud in motion — containers starting and stopping, serverless functions being called, IAM roles being assumed, workloads auto scaling, and data flowing across hundreds of services. It’s also where attackers:

  • Weaponize stolen credentials
  • Escalate privileges
  • Pivot programmatically
  • Deploy malicious compute
  • Manipulate or exfiltrate data

The challenge is complex: runtime evidence is ephemeral. Containers vanish; critical process data disappears in seconds. By the time a human analyst begins investigating, the detail required to understand and respond to the alert, often is already gone. This volatility makes runtime the hardest layer to monitor, and the most important one to secure.

What Darktrace / CLOUD Brings to Runtime Defence

Darktrace / CLOUD is purpose-built for the cloud execution layer. It unifies the capabilities required to detect, contain, and understand attacks as they unfold, not hours or days later. Four elements define its value:

1. Behavioral, real-time detection

The platform learns normal activity across cloud services, identities, workloads, and data flows, then surfaces anomalies that signify real attacker behavior, even when no signature exists.

2. Automated forensic level artifact collection

The moment Darktrace detects a threat, it can automatically capture volatile forensic evidence; disk state, memory, logs, and process context, including from ephemeral resources. This preserves the truth of what happened before workloads terminate and evidence disappears.

3. AI-led investigation

Cyber AI Analyst assembles cloud behaviors into a coherent incident story, correlating identity activity, network flows, and Cloud workload behavior. Analysts no longer need to pivot across dashboards or reconstruct timelines manually.

4. Live architectural awareness

Darktrace continuously maps your cloud environment as it operates; including services, identities, connectivity, and data pathways. This real-time visibility makes anomalies clearer and investigations dramatically faster.

Together, these capabilities form a runtime-first security model.

Why CNAPP alone isn’t enough

CNAPP platforms excel at pre deployment checks all the way down to developer workstations, identifying misconfigurations, concerning permission combinations, vulnerable images, and risky infrastructure choices. But CNAPP’s breadth is also its limitation. CNAPP is about posture. Runtime defense is about behavior.

CNAPP tells you what could go wrong; runtime detection highlights what is going wrong right now.

It cannot preserve ephemeral evidence, correlate active behaviors across domains, or contain unfolding attacks with the precision and speed required during a real incident. Prevention remains essential, but prevention alone cannot stop an attacker who is already operating inside your cloud environment.

Real-world AWS Scenario: Why Runtime Monitoring Wins

A recent incident detected by Darktrace / CLOUD highlights how cloud compromises unfold, and why runtime visibility is non-negotiable. Each step below reflects detections that occur only when monitoring behavior in real time.

1. External Credential Use

Detection: Unusual external source for credential use: An attacker logs into a cloud account from a never-before-seen location, the earliest sign of account takeover.

2. AWS CLI Pivot

Detection: Unusual CLI activity: The attacker switches to programmatic access, issuing commands from a suspicious host to gain automation and stealth.

3. Credential Manipulation

Detection: Rare password reset: They reset or assign new passwords to establish persistence and bypass existing security controls.

4. Cloud Reconnaissance

Detection: Burst of resource discovery: The attacker enumerates buckets, roles, and services to map high value assets and plan next steps.

5. Privilege Escalation

Detection: Anomalous IAM update: Unauthorized policy updates or role changes grant the attacker elevated access or a backdoor.

6. Malicious Compute Deployment

Detection: Unusual EC2/Lambda/ECS creation: The attacker deploys compute resources for mining, lateral movement, or staging further tools.

7. Data Access or Tampering

Detection: Unusual S3 modifications: They alter S3 permissions or objects, often a prelude to data exfiltration or corruption.

Only some of these actions would appear in a posture scan, crucially after the fact.
Every one of these runtime detections is visible only through real-time behavioral monitoring while the attack is in progress.

The future of cloud security Is runtime-first

Cloud defense can no longer revolve solely around prevention. Modern attacks unfold in runtime, across a fast-changing mesh of workloads, services, and — critically — identities. To reduce risk, organizations must be able to detect, understand, and contain malicious activity as it happens, before ephemeral evidence disappears and before attacker's pivot across identity layers.

Darktrace / CLOUD delivers this shift by turning runtime, the most volatile and consequential layer in the cloud, into a fully defensible control point through unified visibility across behavior, workloads, and identities. It does this by providing:

  • Real-time behavior detection across workloads and identity activity
  • Autonomous response actions for rapid containment
  • Automated forensic level artifact preservation the moment events occur
  • AI-driven investigation that separates weak signals from true attacker patterns
  • Live cloud environment insight to understand context and impact instantly

Cloud security must evolve from securing what might go wrong to continuously understanding what is happening; in runtime, across identities, and at the speed attackers operate. Unifying runtime and identity visibility is how defenders regain the advantage.

[related-resource]

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About the author
Adam Stevens
Senior Director of Product, Cloud | Darktrace

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January 12, 2026

Maduro Arrest Used as a Lure to Deliver Backdoor

maduro arrest used as lure to deliver backdoorDefault blog imageDefault blog image

Introduction

Threat actors frequently exploit ongoing world events to trick users into opening and executing malicious files. Darktrace security researchers recently identified a threat group using reports around the arrest of Venezuelan President Nicolàs Maduro on January 3, 2025, as a lure to deliver backdoor malware.

Technical Analysis

While the exact initial access method is unknown, it is likely that a spear-phishing email was sent to victims, containing a zip archive titled “US now deciding what’s next for Venezuela.zip”. This file included an executable named “Maduro to be taken to New York.exe” and a dynamic-link library (DLL), “kugou.dll”.  

The binary “Maduro to be taken to New York.exe” is a legitimate binary (albeit with an expired signature) related to KuGou, a Chinese streaming platform. Its function is to load the DLL “kugou.dll” via DLL search order. In this instance, the expected DLL has been replaced with a malicious one with the same name to load it.  

DLL called with LoadLibraryW.
Figure 1: DLL called with LoadLibraryW.

Once the DLL is executed, a directory is created C:\ProgramData\Technology360NB with the DLL copied into the directory along with the executable, renamed as “DataTechnology.exe”. A registry key is created for persistence in “HKCU\Software\Microsoft\Windows\CurrentVersion\Run\Lite360” to run DataTechnology.exe --DATA on log on.

 Registry key added for persistence.
Figure 2. Registry key added for persistence.
Folder “Technology360NB” created.
Figure 3: Folder “Technology360NB” created.

During execution, a dialog box appears with the caption “Please restart your computer and try again, or contact the original author.”

Message box prompting user to restart.
Figure 4. Message box prompting user to restart.

Prompting the user to restart triggers the malware to run from the registry key with the command --DATA, and if the user doesn't, a forced restart is triggered. Once the system is reset, the malware begins periodic TLS connections to the command-and-control (C2) server 172.81.60[.]97 on port 443. While the encrypted traffic prevents direct inspection of commands or data, the regular beaconing and response traffic strongly imply that the malware has the ability to poll a remote server for instructions, configuration, or tasking.

Conclusion

Threat groups have long used geopolitical issues and other high-profile events to make malicious content appear more credible or urgent. Since the onset of the war in Ukraine, organizations have been repeatedly targeted with spear-phishing emails using subject lines related to the ongoing conflict, including references to prisoners of war [1]. Similarly, the Chinese threat group Mustang Panda frequently uses this tactic to deploy backdoors, using lures related to the Ukrainian war, conventions on Tibet [2], the South China Sea [3], and Taiwan [4].  

The activity described in this blog shares similarities with previous Mustang Panda campaigns, including the use of a current-events archive, a directory created in ProgramData with a legitimate executable used to load a malicious DLL and run registry keys used for persistence. While there is an overlap of tactics, techniques and procedures (TTPs), there is insufficient information available to confidently attribute this activity to a specific threat group. Users should remain vigilant, especially when opening email attachments.

Credit to Tara Gould (Malware Research Lead)
Edited by Ryan Traill (Analyst Content Lead)

Indicators of Compromise (IoCs)

172.81.60[.]97
8f81ce8ca6cdbc7d7eb10f4da5f470c6 - US now deciding what's next for Venezuela.zip
722bcd4b14aac3395f8a073050b9a578 - Maduro to be taken to New York.exe
aea6f6edbbbb0ab0f22568dcb503d731  - kugou.dll

References

[1] https://cert.gov.ua/article/6280422  

[2] https://www.ibm.com/think/x-force/hive0154-mustang-panda-shifts-focus-tibetan-community-deploy-pubload-backdoor

[3] https://www.ibm.com/think/x-force/hive0154-targeting-us-philippines-pakistan-taiwan

[4] https://www.ibm.com/think/x-force/hive0154-targeting-us-philippines-pakistan-taiwan

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About the author
Tara Gould
Malware Research Lead
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