Grep_Tribe Blue Team Shares SOC Defense Lessons from Standoff 17 Cyber Battle
The Grep_Tribe blue team returned to Standoff 17 for the third consecutive year, this time protecting the infrastructure of the retail company RetailSTF Group inside the virtual State F. In contrast to routine SOC work with familiar systems and historical context, the cyber battle featured simultaneous attacks from multiple red teams, rapidly changing tactics, and a dramatically higher volume of security events.
Over the course of the exercise the defenders recorded 37 confirmed incidents, 22 detected incidents, five investigated critical events, and sustained an 88 percent average infrastructure availability. Team members who normally work in an internal SOC used the event to stress-test established processes under conditions that cannot be replicated in production environments.
Team Organization and Preparation
Before the competition began, roles were assigned across infrastructure analysis, vulnerability assessment, firewall rule review, and network topology mapping. During the battle the team applied a “tribal” model first tested the previous year: analysts initially triaged the general event stream, while complex attack scenarios triggered the formation of small two- or three-person groups for in-depth investigation and response. Newer participants focused on indicator analysis and basic containment, freeing experienced members for attribution and Threat Intelligence tasks.
Tools and Automation
The primary detection and response stack consisted of Positive Technologies solutions: MaxPatrol SIEM, MaxPatrol VM, MaxPatrol EDR, PT Application Firewall, and PT Sandbox. For the first time the team also operated R-Vision SOAR, using it as a central interface for automated playbooks that blocked IP addresses, submitted files to sandbox analysis, and enforced time-limited blocks that automatically expired to avoid service disruption.
Participants noted that the SOAR platform reduced context switching and allowed analysts to launch common actions in a few clicks while maintaining visibility into every response status. Support from the R-Vision engineering team enabled rapid customization of playbooks during the event.
Key Takeaways
After the competition the team concluded that pre-built automation for repetitive tasks significantly lowers analyst workload during sustained high-intensity periods. They intend to apply the same approach in their daily SOC operations. The event also reinforced the value of early infrastructure reconnaissance and the use of Threat Intelligence to link disparate events to specific red-team actors.
Grep_Tribe’s traditional mascot—frogs in various forms—accompanied the team once again, and several new internal memes were added to the collection. For first-time participants the advice was straightforward: study the rules in advance, ask experienced colleagues questions without hesitation, prepare contingency plans, and enjoy the unique learning opportunity that a live cyber battle provides.
Related articles
How a Personal Site Counts Bots Without Storing Any IPs: Pure PHP, No Database, Strict CSP and 160 Tests
A personal website built entirely in pure PHP without frameworks or databases demonstrates advanced defensive security practices while tracking bot activity from an SSH honeypot. The site stores all content in a single JSON file with atomic writes and automatic backups, eliminating database-related attack surfaces and simplifying deployment to folder copying. Strict Content-Security-Policy rules prohibit inline styles and scripts without nonces, forcing the use of SVG attributes, CSSOM updates, and JSON data blocks instead of direct attribute injection. Over 160 automated tests written in PHP attack the site with XSS payloads, CSRF attempts, path traversals, and malformed Markdown to verify that no malicious output reaches the browser. Bot identification relies on behavioral signatures derived from the first twelve cleaned commands of each session, combined with HASSH fingerprints and activity patterns, allowing the site to report unique bot families and address counts without ever publishing IPs. Additional browser-based tests using Chromium validate accessibility, performance budgets, and CSP compliance across desktop and mobile viewports. The entire system runs with zero external dependencies and integrates tests directly into the deployment pipeline.
Russian Finance Ministry Seeks Central Bank Reports on Systematic P2P Transfers to Tax Authorities
The Russian Ministry of Finance has proposed amendments requiring the Central Bank to share data with the Federal Tax Service on individuals whose bank accounts show signs of regular income received from other private citizens. The changes target article 85 of the Tax Code and form part of the budget package bill numbered 617-9. Under the new rules, the Central Bank would identify such citizens through transaction analysis and transmit the information according to a future agreement with the tax service. The Federal Tax Service would also gain expanded powers to request bank statements from non-entrepreneurs without needing prior debt collection or audit triggers. If approved, the provisions would take effect on 1 January 2027 and apply to operations conducted after 1 January 2026. Separate bills under discussion would impose monthly transfer limits of 30,000 rubles on suspected clients starting in 2028 and require the tax service to notify the Central Bank about account openings and income categories.
Baidu Launches Ciyuan Exchange to Establish Trust Standards for AI Model Trading
Baidu Intelligent Cloud has introduced the Ciyuan Exchange, a dedicated trading platform for large AI models that aims to solve quality verification and credit issues in an increasingly crowded market. The platform, unveiled at the Baidu World 2026 Conference, already hosts over 100 supply resources with daily calls exceeding 50 million and daily token usage surpassing 700 billion. Founder Li Yanhong positioned the exchange as an infrastructure layer that moves beyond simple model aggregation toward verifiable identity, ongoing performance monitoring, and supplier credit records. The initiative addresses real procurement risks where identical models from different providers show up to twofold differences in throughput and reliability, according to a China Academy of Information and Communications Technology report. By combining model fingerprinting, capability testing, periodic audits, and continuous credit scoring, the platform seeks to create transparent market mechanisms similar to commodity exchanges. This development signals a broader industry shift from raw model capability competition toward standardized service quality, pricing transparency, and reliable delivery infrastructure.
Windows and MacBook Pro Setup Combines Local Network Access with Dual VPNs and Kill Switch Protection
A user detailed how they integrated an older MacBook Pro into an existing Windows workstation environment while preserving separate user accounts, file sharing, and independent VPN connections. The setup required careful routing configuration to keep the Kill Switch active on both Amnezia VLESS and AmneziaWG without breaking local SMB connectivity. After initial failures caused by the Windows Kill Switch blocking the 192.168.1.0/24 subnet, split tunneling was implemented to route local traffic directly. Separate macOS accounts were created for daily use and a dedicated “Serverok” account for remote scripting and compute tasks. SSH and SFTP ultimately replaced problematic SMB shares for the secondary account, enabling reliable file transfers at over 50 MB/s. The configuration allows simultaneous or sequential use of both machines while maintaining strong VPN protection on each.