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Session Hijacking: Cookie Theft Bypasses Two-Factor Authentication

The article explains session hijacking by cookie/theft of session tokens as a rapidly growing identity attack in 2026. Infostealer malware (e.g., RedLine, Raccoon, Lumma, Vidar) exfiltrates entire browser cookie stores and related credentials; those datasets—called “stealer logs”—appear on Telegram channels and dark‑web marketplaces. SpyCloud reports a 58% rise in infostealer infections and over 2.1 billion stolen cookie records. Google’s Threat Analysis Group says session token theft now causes more account takeovers than phishing, and Microsoft confirmed AiTM phishing kits plus session token theft drove a wave of enterprise compromises in early 2026. Because stolen cookies represent already-authenticated sessions, two‑factor authentication often cannot stop these attacks. Recommended protections include patching devices, using antivirus, logging out of sessions, clearing cookies, avoiding public Wi‑Fi or using a VPN, and adopting device‑bound or token‑binding session designs.

Bot Finds Underpriced Game Consoles Using eBay Sold Prices

A developer published a tutorial and an Apify Actor that scans live listings on marketplaces (Vinted, Wallapop, Milanuncios) and values items using confirmed eBay sold prices. The tool (Second-hand Deal Scanner) applies filters to exclude accessories and junk, models buyer-protection/shipping/resale fees, and returns only listings with estimated real profit. It supports Spain, France, Germany, Italy and the UK, offers cross-border valuation (scan in one market, value against another eBay), and can be scheduled as a daily watchlist. Each scan costs $0.04. The Actor can be called by AI agents via an MCP-style server integration, and the author notes limitations around item condition, Spain-only availability for some marketplaces, and the inherent uncertainty of automated estimates.

Agentic AI Costs Burn Budgets; Routing Cuts 74%

The article documents a fast-emerging cost crisis from "agentic" AI pipelines where single user requests translate into many LLM calls, growing context windows, and unexpectedly large bills — citing a Hacker News report that Uber exhausted its 2026 AI budget by April. It cites Forrester survey data that 22% of agent deployments report negative ROI driven by infrastructure spend. The author describes a practical multi-model routing pattern and token-optimization techniques (context trimming, structured outputs, delegation to cheaper models, response caching) that cut their pipeline costs by 74%. Code snippets and a minimal cost dashboard / budget-alerting pattern are provided. The piece also compares per-token pricing (Opus 4.7, GPT-5.5) and argues routing by task complexity and provider efficiency is critical to control agentic AI spend at scale. Publication date: 2026-07-04.