Electric-power and energy companies are vulnerable to cyberattacks considering their infrastructure to hold lot of legacy systems and considering their primary business is not related to IT at all, we have specially designed frameworks and processes that can significantly reduce cyber-related risks. Considering the latest trends world wide of cyberattacks our analysis confirms that threats and threat actors are targeting energy sector to primarily cause security and economic dislocation and also to publicly register their opposition to energy sector based on public environmental and other broader agendas.
The cyberattacks against the companies in the electricity and gas sectors are increasing sky high. But implementing a systematic and structured approach to interactions, organizational, and process frameworks can greatly reduce cyber-related risks. Hacktivists are out to publicly voice their disagreement with utilities’ initiatives or larger goals, as well as cybercriminals who grasp the economic value represented by this industry. Also, electric-power and gas sector’s unique interdependencies between physical and cyber infrastructure make companies vulnerable to exploitation, including billing fraud with advanced wireless meters, the takeover of operational-technology (OT) systems to stop multiple wind turbines, and even physical destruction.
The Cyber risks can potentially impact every operation within a power plant particularly with the increased use of connected industrial devices or automated controls. Energy infrastructures have turned into highly distributed systems, which require proactive protection. The biggest cyber-attacks on the energy sector are: CrashOverride- can take control of control systems and ultimately it can damage all the files, GreyEnergy- An advanced persistent threat which can affect through phishing, Havex malware- used for industrial espionage, Operation Sharpshooter- hacking global infrastructure of nuclear and energy companies, TRITON malware- attack toward’ s target’s IT and operational technology networks.
We should consider solutions to make the energy sector more resilient to growing and more sophisticated cyber and privacy attacks, develop scenarios for possible attacks, with appropriate counteracting measures, designed, described, tested on a demonstrator in order to check how strong our defense mechanism is, apply measures to new assets or to existing equipment where data flows were not designed to be cyber protected, implement set of standards and rules for certification of cybersecurity components, systems and processes in the energy sector.
We provide complete and comprehensive cybersecurity solutions for energy industries that will: assess vulnerabilities and threats in a collaborative manner; provide an adequate security measures to ensure a cyber-secure system, implement both organisational and technical measures in representative demonstrator to test the cyber resilience of the system with different types of attacks/severity, demonstrate the effectiveness of the measures with a cost-benefit analysis, monitor user-behavior using advanced threat analytics, implement hardware authentication. We ensure more security for this type of sectors through our technologies.
Vagari.ai LLC has created a Vehicle Rental App for Auto Dealers, Fleet and other vehicle owners (Owners) to provide vehicles to drivers including those who drive for uber/lyft (Renters) in the rideshare and Transportation as a Service (TaaS) industry. Vagari.ai LLC is a frictionless mobility technology startup based in New York, USA. Their first product is the vehicle rental mobile app. This App offers an opportunity for Owners to earn incremental revenue on idle inventory on one hand and for the Renters to use vehicles at subscription price and if needed be able to purchase it over a period of time.
Some of the vulnerabilities pop out during our pentest in vagari are
We pinpoint potential avenues of network attack where access might be gained through internet-connected servers or network equipment by individuals outside of Vagari which lack appropriate rights or credentials.
We then conducted a mock attack to test security controls, developing and presenting with a cybersecurity assessment on findings along with solutions and recommendations that vagari can use to remediate the issue.
Trusted Hands Financial Services Private limited is a Kerala based Activities auxiliary to financial intermediation company. A consumer-focused financial services & tech platform that solves problem of discovery, shortlisting, application, management and servicing of bank loans, borrowing options. Trusted Hands Financial Services (THFS) will change the way customers take and manage loans. THFS will enable customers to acquire their financial freedom, with right choice at the right time.
Requirement : Internal / External Pentesting, Vulnerability Assesmement, Solution
The Customer needed to test the security controls deployed within their IT infrastructure.
Offenselogic team conducted black box penetration testing of the external perimeter of the Customer’s network. The ethical hackers didn’t manage to penetrate the network with no credentials, so they proceeded with the grey box testing method using user login details but having no access to the entire network. Grey box penetration testing revealed a vulnerability of the Customer’s remote server to external manipulations.
Our security engineers scanned the Customer’s internal network for vulnerabilities and exploited the discovered vulnerabilities using the grey box penetration testing method. They discovered a server using the obsolete HTTPS protocol, which was critical for the banking environment storing clients’ data.
The Customer received detailed reports of the conducted network vulnerability assessment, penetration testing, and the security risk assessment of the client digital channels with recommendations to mitigate the discovered vulnerabilities. After fixing all the issues according to the provided remediation plan, the Customer ran retesting, which showed the increased security level of the network’s external perimeter and internal environment.