Topic
Positive Technologies
Why Automation Alone Fails to Improve SOC Efficiency: The Case for Managed Operational Models
Other
Positive Technologies Adds Unified Console to PT X for Centralized Incident and Asset Management
Other
Positive Technologies Uncovers Disinformation Factory Linking 45 Domains and 74 Telegram Channels
Fraud & Social EngineeringMalicious npm Packages Deploy Multi-Stage Trojan with Embedded GitLab Keys
Positive Technologies researchers uncovered a campaign in which an attacker published multiple trojanized packages to the npm registry under the accounts alex05255, mdrafiqulislamrabby, b.w1001, abdev8773 and mollspotwood54400. The affected packages include svg-fetcher, tradepilot, polytrade, polymarket-kit, react-svg-chunk, gamified-trading-system, font-huge, font-hub, mdb-vite, router-processor and route-processor. Each package concatenates several constants to build a C2 URL, downloads the next stage identified as token versions 106, 107, 108 and 116, and sends the hardcoded value logo in the bearrtoken header. Later stages contain heavily obfuscated JavaScript that collects username, hostname and operating-system information before establishing a WebSocket channel for command execution. Releases 106 and 116 also embed a public-private key pair belonging to a private GitLab instance operated by the threat actor, suggesting the use of CI/CD pipelines for code obfuscation and stage generation. The findings highlight the continued risk of supply-chain attacks through popular open-source repositories and the value of automated package monitoring.
Star in the Machine Fog: How AI Became Weapon, Target and Voice in the Browser
AppSec engineer Yuri Tumanov from Rostelecom, together with Igor Korkin of Positive Technologies and Oksana Dokuchaeva of FMBA Russia, examines how generative AI reshapes attack economics and defensive controls. The article outlines five distinct roles of AI in cybersecurity: accelerator of attacks, trusted assistant under compromise, leakage vector, protective shield, and direct target of prompt injection and data poisoning. It stresses that AI does not invent new threats but removes friction from social engineering, code generation and tool orchestration while expanding the attack surface through browser sessions, retrieval corpora and agent permissions. The authors advocate deterministic policy engines, provenance tracking, step-up approvals and device posture checks rather than relying on system prompts alone. The piece is framed as a cyberpunk narrative grounded in real AppSec, blue-team and threat-modeling practices for authorized testing environments.