Russia Weighs Passenger Fees of Up to 1000 Rubles to Fund Domestic Aircraft Leasing
Russian authorities are exploring a new passenger surcharge aimed at financing the leasing and operation of domestically manufactured aircraft. The measure is being developed by Mintrans, Minpromtorg, and Rostec, according to sources cited by Kommersant.
Preliminary proposals set the fee at up to 500 rubles for domestic flights and up to 1000 rubles for international routes. Alternative figures under discussion reach 700 rubles inside Russia and 2000 rubles abroad. No final decisions have been taken on either the exact amounts or the collection mechanism.
At projected 2025 passenger volumes the surcharge could yield between 68 and 84 billion rubles per year. Over the 2027-2030 period authorities expect to collect a total of 200-250 billion rubles. The proceeds would be directed to leasing companies to offset the difference between the high production cost of Russian aircraft and the preferential prices offered to carriers.
Part of the funds may also go to airlines to cover higher operating expenses during the initial years. The first MC-21 airliners are estimated to cost 8.9-11 billion rubles each, compared with roughly 3.4-3.6 billion rubles for an Airbus A320-200. Similarly, the SJ-100 is projected at 5.4 billion rubles versus about 3 billion rubles for an Embraer E190.
Additional compensation for aviation fuel costs is also under consideration. Policymakers anticipate that serial production after 2030 will reduce unit costs and render the surcharge unnecessary, although passengers remain skeptical about the temporary nature of such levies.
Industry analysts warn that the extra charge will increase ticket prices and could depress passenger demand, thereby reducing revenues for airlines, airports, and the state budget. They recommend covering early-stage operating losses directly from the federal treasury instead.
Related articles
Linus Torvalds Embraces Generative AI for Coding After Initial Skepticism
Linus Torvalds has publicly shared his evolving views on generative AI tools for programming during the Open Source Summit Europe. The Linux creator noted that AI assistance makes small personal projects more enjoyable by accelerating the path from idea to working result. He described using an AI model to modernize the outdated C-based user interface of a custom guitar pedal project. Initial AI output proved unusable until Torvalds supplied the existing implementation and clear instructions on required changes. Torvalds emphasized that AI helps newcomers achieve tangible outcomes that feel meaningful compared to professional-grade software. At the same time he urged caution when applying these tools to serious kernel development work. He also highlighted the growing burden on maintainers who must review increasing volumes of low-quality, AI-generated vulnerability reports and superficial patches.
Hacker or Engineer? Reconstructing Attack Chains in Industrial OT Networks
Positive Technologies expert Anton Kutepov presents a detailed educational scenario from the Standoff online polygon to demonstrate how security teams can trace an attack from initial perimeter compromise to unauthorized writes on a PLC. The case begins with an unexpected SCADA server command to a hydrocracking unit controller outside the maintenance window. By correlating network traffic, endpoint telemetry, authentication logs, and asset context, analysts reconstruct the full path: exploitation of a vulnerable DMZ system, lateral movement via Kerberoasting and Active Directory certificate abuse, RDP access to an engineering workstation, and finally weakening of Windows Defender on the SCADA server before issuing the control command. The analysis shows that a single permitted industrial protocol operation becomes suspicious only when placed in the context of prior defensive control changes and anomalous access routes. The article stresses that protecting OT environments requires continuous asset inventory, unified telemetry from traffic and endpoints, and pre-approved response playbooks that avoid disrupting the physical process.
Russia Sets 2030 Deadline to Deliver LTE Internet to Small Settlements
The Russian Ministry of Digital Development has outlined a timeline to provide mobile LTE internet access to small settlements with populations between 100 and 1,000 people by the end of 2030. Minister Maksut Shadaev stated in the State Duma that the next major milestone involves connecting an additional 1,800 settlements by 2027. Over the past six years, LTE service has already reached more than 8,000 such localities through the ongoing federal program. The initiative focuses on building the necessary mobile infrastructure rather than guaranteeing signal coverage at every geographic point. Residents in these areas are expected to gain reliable access to standard digital services without needing to search for optimal signal locations. Progress will be measured by actual deployed infrastructure and operational connectivity at the 2027 checkpoint.
Russian Woman Fined 15,000 Rubles for ChatGPT-Generated Bear Image That Sparked Police Hunt
A resident of Magdagachi in Russia's Amur region used ChatGPT to add a bear to a photo of Krasnoarmeyskaya street as a prank on her friend. The realistic image spread through messengers, prompting residents to alert police and sending hunters with equipment to search for the nonexistent animal. The incident reached the district head, causing widespread fear, with one local resident too afraid to leave home or visit the store. The woman later confessed to police that the image was AI-generated, admitted guilt in court under part 9 of article 13.15 of the Russian Code of Administrative Offenses, and received a reduced fine of 15,000 rubles due to her remorse and first offense. Her iPhone 15 was not confiscated after she explained its necessity for work. This marks the second similar case involving AI-generated bears, following a 30,000-ruble fine and iPhone 11 confiscation in Duldurga, Zabaykalye region, in September.