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Ampol has been Australia’s leading transport fuel company since 1900. What began over 125 years ago is now an organization that powers a country, operating 1,500 retail stores and stations across ANZ, plus 89 depots for refining and importing fuels and lubricants, and 8,200 employees throughout Australia, New Zealand, the United States, and Singapore. And while Ampol’s history goes back a century, they are a modern organization, using internet of things (IoT) technology across operational and retail locations, with sensors on everything from electric vehicle charging units to fuel tank gauges to transportation trucks to refrigeration units inside retail stores.
As a critical energy provider to a country of over 25 million people, Ampol’s security needed to match its evolving infrastructure. As Satish Chowdhary, Network Enterprise Architect, said, “At Ampol, we have implemented sensor technology across our network: from gauges in the fuel tanks to monitor fuel quality and quantity to sensors that monitor the temperature in various refrigerators across our retail sites to ensure goods stay chilled. It’s critical to manage these devices effectively and securely, and that’s where Cisco comes in…With IoT, a major security risk is posed by dodgy legacy devices left unpatched and vulnerable within your network. Cisco’s TrustSec and VLAN segregation automatically isolate vulnerable devices, not exposing the rest of the network to risks from untrusted devices.”
In addition to securing the IoT that let’s Ampol monitor and manage its critical operations, Cisco was able to create a comprehensive security environment that solved for their three strategic goals.
“Three key components of our cyber-resilient strategy were isolation, orchestration, and rapid recovery. Cisco SecureX nailed all three providing us a single interface to see all security events, and malicious files, thus expediting how fast we can isolate events and recover,” Chowdhary explained. “Before using Cisco Secure, security was a hindrance, not an enabler for our IT team, employees, and even customers,” he added.
In fact, Cisco Secure helped Ampol improve their security posture so much that they were able to quickly pivot during the early days of the pandemic.
“When Covid triggered supply challenges during lockdowns, people not being able to access groceries turned to their local service station convenience stores to get what they needed. For Ampol, maintaining that supply continuity was critical, not just for our business, but for the customers who were relying on us to get their supplies. And all of this was done when many employees were now having to work remotely… This was possible only because we could maintain our revamped locations, staff, clients, and business partners safe on our network – while still maintaining speed and efficiency. Cisco Secure was the ticket to Ampol’s resilience in the face of major change,” Chowdhary said.
In addition to enabling flexibility against supply chain fluctuations, Ampol is readily protected against threats, cyberattacks, and other vulnerabilities. Their Cisco security solution included:
“The major force for our Cisco Secure investment was simplification by integrating the entire Security portfolio…If we ever happen to have a cyber-attack, we can quickly find it and contain it,” Chowdhary said, adding, “The greatest outcome of using Cisco Secure is simplicity at its core. We achieved great efficiency integration, better visibility, and context that’s not hidden across five, ten, or fifteen consoles, and ultimately, greater security outcomes.”
To find out how else Cisco Secure is helping protect Ampol against sophisticated threats and other challenges, read the full Ampol case study.
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At Black Hat USA 2020, Trend Micro presented two important talks on vulnerabilities in Industrial IoT (IIoT). The first discussed weaknesses in proprietary languages used by industrial robots, and the second talked about vulnerabilities in protocol gateways. Any organization using robots, and any organization running a multi-vendor OT environment, should be aware of these attack surfaces. Here is a summary of the key points from each talk.
Rogue Automation
Presented at Black Hat, Wednesday, August 5. https://www.blackhat.com/us-20/briefings/schedule/index.html#otrazor-static-code-analysis-for-vulnerability-discovery-in-industrial-automation-scripts-19523 and the corresponding research paper is available at https://www.trendmicro.com/vinfo/us/security/news/internet-of-things/unveiling-the-hidden-risks-of-industrial-automation-programming
Industrial robots contain powerful, fully capable computers. Unlike most contemporary computers, though, industrial robots lack basic information security capabilities. First, at the architectural level, they lack any mechanism to isolate certain instructions or memory. That is, any program can alter any piece of storage, or run any instruction. In traditional mainframes, no application could access, change, or run any code in another application or in the operating system. Even smartphone operating systems have privilege separation. An application cannot access a smartphone’s camera, for instance, without being specifically permitted to do so. Industrial robots allow any code to read, access, modify, or run any device connected to the system, including the clock. That eliminates data integrity in industrial robots and invalidates any audit of malfunctions; debugging becomes exceptionally difficult.
Industrial robots do not use conventional programming languages, like C or Python. Instead, each manufacturer provides its own proprietary programming language. That means a specialist using one industrial robot cannot use another vendor’s machine without training. There are no common information security tools for code validation, since vendors do not develop products for fragmented markets. These languages describe programs telling the robot how to move. They also support reading and writing data, analyzing and modifying files, opening and closing input/output devices, getting and sending information over a network, and accessing and changing status indicators on connected sensors. Once a program starts to run on an industrial robot, it can do anything any fully functional computer can do, without any security controls at all. Contemporary industrial robots do not have any countermeasures against this threat.
Most industrial robot owners do not write their own programs. The supply chain for industrial robot programs involves many third-party actors. See Figure 1 below for a simplified diagram. In each community, users of a particular vendor’s languages share code informally, and rely on user’s groups for hints and tips to solve common tasks. These forums rarely discuss security measures. Many organizations hire third-party contractors to implement particular processes, but there are no security certifications relevant to these proprietary languages. Most programmers learned their trade in an air-gapped world, and still rely on a perimeter which separates the safe users and code inside from the untrusted users and code outside. The languages offer no code scanners to identify potential weaknesses, such as not validating inputs, modifying system services, altering device state, or replacing system functions. The machines do not have a software asset management capability, so knowing where the components of a running program originated from is uncertain.
Figure 1: The Supply Chain for Industrial Robot Programming
All is not lost – not quite. In the short term, Trend Micro Research has developed a static code analysis tool called OTRazor, which examines robotic code for unsafe code patterns. This was demonstrated during our session at Black Hat.
Over time, vendors will have to introduce basic security checks, such as authentication, authorization, data integrity, and data confidentiality. The vendors will also have to introduce architectural restrictions – for instance, an application should be able to read the clock but not change it.. Applications should not be able to modify system files, programs, or data, nor should they be able to modify other applications. These changes will take years to arrive in the market, however. Until then, CISOs should audit industrial robot programs for vulnerabilities, and segment networks including industrial robots, and apply baseline security programs, as they do now, for both internally developed and procured software.
Protocol Gateway Vulnerabilities
Presented at Black Hat, Wednesday, August 5, https://www.blackhat.com/us-20/briefings/schedule/index.html#industrial-protocol-gateways-under-analysis-20632, with the corresponding research paper available here: https://www.trendmicro.com/vinfo/us/security/news/internet-of-things/lost-in-translation-when-industrial-protocol-translation-goes-wrong.
Industry 4.0 leverages the power of automation alongside the rich layer of software process control tools, particularly Enterprise Resource Planning (ERP), and its bigger cousin, Supply Chain Management (SCM). By bringing together dynamic industrial process control with hyper-efficient “just-in-time” resource scheduling, manufacturers can achieve minimum cost, minimum delay, and optimal production. But these integration projects require that IIoT devices speak with other technology, including IIoT from other manufacturers and legacy equipment. Since each equipment or device may have their own communication protocol, Industry 4.0 relies heavily on protocol converters.
Protocol converters are simple, highly efficient, low-cost devices that translate one protocol into another. Protocol converters are ubiquitous, but they lack any basic security capabilities – authentication, authorization, data integrity or data confidentiality – and they sit right in the middle of the OT network. Attackers can subvert protocol converters to hijack the communication or change configuration. An attacker can disable a safety thresholds, generate a denial of service attack, and misdirect an attached piece of equipment.
In the course of this research, we found nine vulnerabilities and are working with vendors to remediate the issues. Through our TXOne subsidiary, we are developing rules and intelligence specifically for IIoT message traffic, which are then embedded in our current network security offerings, providing administrators with better visibility and the ability to enforce security policies in their OT networks.
Protocol converters present a broad attack surface, as they have limited native information security capabilities. They don’t validate senders or receivers, nor do they scan or verify message contents. Due to their crucial position in the middle of the OT network, they are an exceptionally appealing target for malicious actors. Organizations using protocol converters – especially those on the way to Industry 4.0 – must address these weak but critical components of their evolving infrastructure.
What do you think? Let me know in the comments below or @WilliamMalikTM
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“Alexa, turn on the TV.”
”Get it yourself.”
This nightmare scenario could play out millions of times unless people take steps to protect their IoT devices. The situation is even worse in industrial settings. Smart manufacturing, that is, Industry 4.0, relies on tight integration between IT systems and OT systems. Enterprise resource planning (ERP) software has evolved into supply chain management (SCM) systems, reaching across organizational and national boundaries to gather all forms of inputs, parting out subcomponent development and production, and delivering finished products, payments, and capabilities across a global canvas.
Each of these synergies fulfills a rational business goal: optimize scarce resources across diverse sources; minimize manufacturing, shipping, and warehousing expense across regions; preserve continuity of operations by diversifying suppliers; maximize sales among multiple delivery channels. The supply chain includes not only raw materials for manufacturing, but also third party suppliers of components, outsourced staff for non-core business functions, open source software to optimize development costs, and subcontractors to fulfill specialized design, assembly, testing, and distribution tasks. Each element of the supply chain is an attack surface.
Software development has long been a team effort. Not since the 1970s have companies sought out the exceptional talented solo developer whose code was exquisite, flawless, ineffable, undocumented, and impossible to maintain. Now designs must be clear across the team, and testing requires close collaboration between architects, designers, developers, and production. Teams identify business requirements, then compose a solution from components sourced from publically shared libraries. These libraries may contain further dependencies on yet other third-party code of unknown provenance. Simplified testing relies on the quality of the shared libraries, but shared library routines may have latent (or intentionally hidden) defects that do not come to life until in a vulnerable production environment. Who tests GitHub? The scope of these vulnerabilities is daunting. Trend Micro just published a report, “Attacks on Smart Manufacturing Systems: A Forward-looking Security Analysis,” that surveys the Industry 4.0 attack surface.
Within the manufacturing operation, the blending of IT and OT exposes additional attack surfaces. Industrial robots provide a clear example. Industrial robots are tireless, precision machines programmed to perform exacting tasks rapidly and flawlessly. What did industry do before robots? Factories either relied on hand-built products or on non-programmable machines that had to be retooled for any change in product specifications. Hand-built technology required highly skilled machinists, who are expensive and require time to deliver. See Figure 1 for an example.
Figure 1: The cost of precision
Non-programmable robots require factory down time for retooling, a process that can take weeks. Before programmable industrial robots, automobile factories would deliver a single body style across multiple years of production. Programmable robots can produce different configurations of materials with no down time. They are used everywhere in manufacturing, warehousing, distribution centers, farming, mining, and soon guiding delivery vehicles. The supply chain is automated.
However, the supply chain is not secure. The protocols industrial robots depend on assumed the environment was isolated. One controller would govern the machines in one location. Since the connection between the controller and the managed robots was hard-wired, there was no need for operator identification or message verification. My controller would never see your robot. My controller would only connect to my robot, so the messages they exchanged needed no authentication. Each device assumed all its connections were externally verified. Even the safety systems assumed the network was untainted and trustworthy. No protocols included any security or privacy controls. Then Industry 4.0 adopted wireless communications.
The move, which saved the cost of laying cable in the factory, opened those networks to eavesdropping and attacks. Every possible attack against industrial robots is happening now. Bad guys are forging commands, altering specifications, changing or suppressing error alerts, modifying output statistics, and rewriting logs. The consequences can be vast yet nearly undetectable. In the current report on Rogue Robots, our Forward-looking Threat Research team, collaborating with the Politecnico di Milano (POLIMI), analyzes the range of specific attacks today’s robots face, and the potential consequences those attacks may have.
Owners and operators of programmable robots should heed the warnings of this research, and consider various suggested remedies. Forewarned is forearmed.
The Rogue Robots research is here: https://www.trendmicro.com/vinfo/us/security/news/internet-of-things/rogue-robots-testing-industrial-robot-security.
The new report, Attacks on Smart Manufacturing Systems: A Forward-looking Security Analysis, is here: https://www.trendmicro.com/vinfo/us/security/threat-intelligence-center/internet-of-things/threats-and-consequences-a-security-analysis-of-smart-manufacturing-systems.
What do you think? Let me know in the comments below, or @WilliamMalikTM.
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