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Cyber Security

US Charges Four Russian Cyber Attackers Targeting Critical Infrastructure

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The US Department of Justice (DoJ) has charged three Russian FSB officers and a programmer working for a Russian military research institute with past attacks against industrial control systems (ICS) operated by critical infrastructure providers. The attacks involve the 2017 Triton malware that was designed to infect safety instrumented system (SIS) controllers made by Schneider Electric’s Triconex division and the 2013 Havex remote access Trojan that included a module to map supervisory control and data acquisition (SCADA) on networks.

These malware threats were used against energy sector organizations including oil and gas firms, nuclear power plants, and power transmission companies. While these threats were attributed by security researchers in the past to Russian state-sponsored groups, this is the first time when individuals directly linked to Russian government agencies or organizations are named in relation to the attacks.

The US charged Evgeny Viktorovich Gladkikh, a 36-year-old programmer working for the Russian Central Scientific Research Institute of Chemistry and Mechanics (TsNIIKhM), for his role in a campaign meant to hack into oil refineries around the world, including the US At least one of those attacks resulted in the successful deployment of the Triton malware, which was developed at TsNIIKhM, one of Russia’s oldest state research centers that work under the country’s Ministry of Defense and specialises in creating new advanced weapons for use in space warfare and cyber operations, the unsealed indictment says.

The 2017 incident led to the discovery of the Triton malware after a glitch in the malware’s code after being deployed on Triconex SIS controllers at the refinery triggered two safety shutdown events. The indictment notes that Gladkikh was directly involved in the attack, planting backdoors on machines inside the organization’s network, familiarizing himself with organisation’s safety logs, the results of past safety exercises and the planned response, the software versions used on logging servers, and exact model and features of the Triconex SIS devices.

He was also directly responsible for deploying the Triton malware on the organization’s SIS devices that were connected to computer machines that he backdoored. These machines were part of the organization’s distributed control system (DCS) and one of them controlled sensitive physical processes that involved sulfur recovery and burner management. Improper operation of these systems could have led to the release of toxic gasses or explosions.

The prosecutors believe the goal of Gladkikh and his co-conspirators was to use the Triton malware to cause physical damage or catastrophic failures at the refinery by altering the safety operating parameters while making it seem to operators that everything was normal. Instead, the malware configuration inadvertently triggered faults in the SIS devices triggering their safety shutdown protocol, which gave the attack away and ultimately led to the discovery of the Triton malware.

However, the group’s attempts to compromise oil refineries didn’t stop. According to the indictment, Gladkikh found a research paper authored in the 1970s on a site run by the US Department of Defense that included an extensive survey of oil refineries in the US and their physical vulnerabilities, including the impact of possible explosions and fires. This paper allowed him and his co-conspirators to identify two refineries that are currently operated by a US-based company and then attempt to gain access to public servers run by that company through SQL injections and vulnerability scans. These attempts were unsuccessful.

Gladkikh was charged with one count of conspiracy to cause damage to an energy facility and one count of attempt to cause damage to an energy facility, both carrying a maximum sentence of 20 years in prison each, and one count of conspiracy to commit computer fraud, which carries a maximum sentence of five years in prison.

In another indictment, the DoJ charged Pavel Aleksandrovich Akulov, Mikhail Mikhailovich Gavrilov, and Marat Valeryevich Tyukov, three officers in Military Unit 71330 or “Center 16” of the FSB, Russia’s internal security service, with computer fraud and abuse, wire fraud, aggravated identity theft and causing damage to the property of an energy facility. These charges are in relation to the use of the Havex malware between 2012 and 2017 against multiple organizations.

The Havex malware is a remote access Trojan that the security industry attributed in the past to a Russian state-sponsored threat group tracked as Dragonfly, Berzerk Bear, or Energetic Bear. Havex is also noteworthy because between 2012 and 2014 attackers used software supply chain compromises, among other attack vectors, to distribute it.

Particularly, the hackers managed to compromise servers belonging to companies that provided ICS and SCADA software and Trojanize their software updates. Examples include the MESA Imaging driver; a component called eCatcherSetup made by eWON, a company that provided a remote maintenance service for ICS systems; and multiple tools made by MB Connect, a company that provided a VPN service and network router for industrial systems.

The Dragonfly group used many other attack vectors as well, including watering hole techniques that involved compromising websites commonly visited by employees from its targeted sector to serve credential theft malware, spear phishing emails sent from fake addresses created from inside compromised energy organizations, exploiting web-based vulnerabilities in publicly exposed servers, and more.

The Havex malware was not directly designed to compromise ICS controllers, but it contains a module that allows attackers to scan the compromised networks for SCADA applications. These are management applications that usually run on Windows workstations and are designed to monitor and control industrial processes. This shows the attackers had a clear interest in gaining control over such workstations.

Over its years of operation, the Dragonfly group managed to infect over 17,000 unique systems with Havex, including ICS/SCADA controllers used by power and energy companies, the prosecutors say. The group’s spear-phishing attacks targeted more than 3,300 users at over 500 organizations in the US and abroad, including the US Nuclear Regulatory Commission.

Following the unsealing of the indictments, CISA and the Department of Energy published a detailed advisory with additional technical details about the Triton and Dragonfly attacks. The advisory also includes security best practices and recommendations for critical infrastructure operators.

Cyber Security

Positive Technologies Reports 80% of Middle East Cyberattacks Compromise Confidential Data

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A new study by cybersecurity firm Positive Technologies has shed light on the evolving cyber threat landscape in the Middle East, revealing that a staggering 80% of successful cyberattacks in the region lead to the breach of confidential information. The research, examining the impact of digital transformation, organized cybercrime, and the underground market, highlights the increasing exposure of Middle Eastern nations to sophisticated cyber threats.

The study found that one in three successful cyberattacks were attributed to Advanced Persistent Threat (APT) groups, which predominantly target government institutions and critical infrastructure. While the rapid adoption of new IT solutions is driving efficiency, it simultaneously expands the attack surface for malicious actors.

Cybercriminals in the region heavily utilize social engineering tactics (61% of cases) and malware (51%), often employing a combination of both. Remote Access Trojans (RATs) emerged as a primary weapon in 27% of malware-based attacks, indicating a common objective of gaining long-term access to compromised systems.

The analysis revealed that credentials and trade secrets (29% each) were the most sought-after data, followed by personal information (20%). This stolen data is frequently leveraged for blackmail or sold on the dark web. Beyond data theft, 38% of attacks resulted in the disruption of core business operations, posing significant risks to critical sectors like healthcare, transportation, and government services.

APT groups are identified as the most formidable threat actors due to their substantial resources and advanced technical capabilities. In 2024, they accounted for 32% of recorded attacks, with a clear focus on government and critical infrastructure. Their activities often extend beyond traditional cybercrime, encompassing cyberespionage and even cyberwarfare aimed at undermining trust and demonstrating digital dominance.

Dark web analysis further revealed that government organizations were the most frequently mentioned targets (34%), followed by the industrial sector (20%). Hacktivist activity was also prominent, with ideologically motivated actors often sharing stolen databases freely, exacerbating the cybercrime landscape.

The United Arab Emirates, Saudi Arabia, Israel, and Qatar, all leaders in digital transformation, were the most frequently cited countries on the dark web in connection with stolen data. Experts suggest that the prevalence of advertisements for selling data from these nations underscores the challenges of securing rapidly expanding digital environments, which cybercriminals are quick to exploit.

Positive Technologies analyst Alexey Lukash said, “In the near future, we expect cyberthreats in the Middle East to grow both in scale and sophistication. As digital transformation efforts expand, so does the attack surface, creating more opportunities for hackers of all skill levels. Governments in the region need to focus on protecting critical infrastructure, financial institutions, and government systems. The consequences of successful attacks in these areas could have far-reaching implications for national security and sovereignty.”

To help organizations build stronger defenses against cyberthreats, Positive Technologies recommends implementing modern security measures. These include vulnerability management systems to automate asset management, as well as identify, prioritize, and remediate vulnerabilities. Positive Technologies also suggests using network traffic analysis tools to monitor network activity and detect cyberattacks. Another critical layer of protection involves securing applications. Such solutions are designed to identify vulnerabilities in applications, detect suspicious activity, and take immediate action to prevent attacks.

Positive Technologies emphasizes the need for a comprehensive, result-driven approach to cybersecurity. This strategy is designed to prevent attackers from disrupting critical business processes. Scalable and flexible, it can be tailored to individual organizations, entire industries, or even large-scale digital ecosystems like nations or international alliances. The goal is to deliver clear, measurable results in cybersecurity—not just to meet compliance standards or rely on isolated technical fixes.

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Cyber Security

Axis Communications Sheds Light on Video Surveillance Industry Perspectives on AI

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Axis Communications has published a new report that explores the state of AI in the global video surveillance industry. Titled The State of AI in Video Surveillance, the report examines the key opportunities, challenges and future trends, as well as the responsible practices that are becoming critical for organisations in their use of AI. The report draws insights from qualitative research as well as quantitative data sources, including in-depth interviews with carefully selected experts from the Axis global partner network.

A leading insight featured in the report is the unanimous view among interviewees that interest in the technology has surged over the past few years, with more and more business customers becoming curious and increasingly knowledgeable about its potential applications.

Mats Thulin, Director AI & Analytics Solutions at Axis Communications

“AI is a technology that has the potential to touch every corner and every function of the modern enterprise. That said, any implementations or integrations that aim to drive value come with serious financial and ethical considerations. These considerations should prompt organisations to scrutinise any initiative or investment. Axis’s new report not only shows how AI is transforming the video surveillance landscape, but also how that transformation should ideally be approached,” said Mats Thulin, Director AI & Analytics Solutions at Axis Communications.

According to the Axis report, the move by businesses from on-premise security server systems to hybrid cloud architectures continues at pace, driven by the need for faster processing, improved bandwidth usage and greater scalability. At the same time, cloud-based technology is being combined with edge AI solutions, which play a crucial role by enabling faster, local analytics with minimal latency, a prerequisite for real-time responsiveness in security-related situations.

By moving AI processing closer to the source using edge devices such as cameras, businesses can reduce bandwidth consumption and better support real-time applications like security monitoring. As a result, the hybrid approach is expected to continue to shape the role of AI in security and unlock new business intelligence and operational efficiencies.

A trend that is emerging among businesses is the integration of diverse data for a more comprehensive analysis, transforming safety and security. Experts predict that by integrating additional sensory data, such as audio and contextual environmental factors caught on camera, can lead to enhanced situational awareness and greater actionable insights, offering a more comprehensive understanding of events.

Combining multiple data streams can ultimately lead to improved detection and prediction of potential threats or incidents. For example, in emergency scenarios, pairing visual data with audio analysis can enable security teams to respond more quickly and precisely. This context-aware approach can potentially elevate safety, security and operational efficiency, and reflects how system operators can leverage and process multiple data inputs to make better-informed decisions.

According to the Axis report, interviewees emphasised that responsible AI and ethical considerations are critical priorities in the development and deployment of new systems, raising concerns about decisions potentially based on biased or unreliable AI. Other risks highlighted include those related to privacy violations and how facial and behavioural recognition could have ethical and legal repercussions.

As a result, a recurring theme among interviewees was the importance of embedding responsible AI practices early in the development process. Interviewees also pointed to regulatory frameworks, such as the EU AI Act, as pivotal in shaping responsible use of technology, particularly in high-risk areas. While regulation was broadly acknowledged as necessary to build trust and accountability, several interviewees also stressed the need for balance to safeguard innovation and address privacy and data security concerns.

“The findings of this report reflect how enterprises are viewing the trend of AI holistically, working to have a firm grasp of both how to use the technology effectively and understand the macro implications of its usage. Conversations surrounding privacy and responsibility will continue but so will the pace of innovation and the adoption of technologies that advance the video surveillance industry and lead to new and exciting possibilities,” Thulin added.

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Artificial Intelligence

CyberKnight Partners with Ridge Security for AI-Powered Security Validation

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The automated penetration testing market was valued at roughly $3.1 billion in 2023 and is projected to grow rapidly, with forecasts estimating a compound annual growth rate (CAGR) between 21% and 25%. By 2030, the sector is expected to reach approximately $9 to $10 billion. The broader penetration testing industry is also expanding, with projections indicating it will surpass $5.3 billion by 2027, according to MarketandMarket.

To support enterprises and government entities across the Middle East, Turkey and Africa (META) with identifying and validating vulnerabilities and reducing security gaps in real-time, CyberKnight has partnered with Ridge Security, the World’s First Al-powered Offensive Security Validation Platform. Ridge Security’s products incorporate advanced artificial intelligence to deliver security validation through automated penetration testing and breach and attack simulations.

RidgeBot uses advanced AI to autonomously perform multi-vector iterative attacks, conduct continuous penetration testing, and validate vulnerabilities with zero false positives. RidgeBot has been deployed by customers worldwide as a key element of their journey to evolve from traditional vulnerability management to Continuous Threat Exposure Management (CTEM).

“Ridge Security’s core strength lies in delivering holistic, AI-driven security validation that enables organizations to proactively manage risk and improve operational performance,” said Hom Bahmanyar, Chief Enablement Officer at Ridge Security. “We are delighted to partner with CyberKnight to leverage their network of strategic partners, deep-rooted customer relations, and security expertise to accelerate our expansion plans in the region.”

“Our partnership with Ridge Security is a timely and strategic step, as 69% of organizations are now adopting AI-driven security for threat detection and prevention,” added Wael Jaber, Chief Strategy Officer at CyberKnight. “By joining forces, we enhance our ability to deliver automated, intelligent security validation solutions, reaffirming our commitment to empowering customers with resilient, future-ready cybersecurity across the region.”

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