SShortSingh.
Back to feed

Stolen AI Session Tokens From Claude and ChatGPT Sold for $5 on Telegram

0
·5 views

Cybersecurity researchers at FlashPoint analyzed nearly 45,000 stolen session tokens from a single infostealer log dump and found 555 belonging to AI platforms including Claude, ChatGPT, Gemini, and Copilot. Of those, 24 API keys remained valid at the time of analysis, each granting buyers full account access including conversation history, document uploads, and API usage. Anthropic confirmed in early September 2026 that session tokens harvested via browser-based malware were being actively sold and used against live Claude accounts, with no flaw in Anthropic's own infrastructure involved. Known malware families such as Lumma, Vidar, and Redline steal these tokens from users' machines in under 30 seconds, often through cracked software downloads or fake CAPTCHA pages. Buyers replay the stolen tokens using browser fingerprint-spoofing tools, bypassing two-factor authentication entirely and exploiting victims' accounts for large-scale AI compute operations known as LLMjacking.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Parent-engineer builds ad-free, no-tracking Sudoku app for kids

A developer and parent has launched Animal Sudoku Kids Puzzle, a free iOS app designed to teach logic to children without ads, data collection, or third-party tracking. The app offers three difficulty levels using color-coded animal icons on 4×4 and 6×6 grids, with features like auto-save, smart hints, and gentle background music. The developer built it out of frustration with existing free children's games that monetize attention through intrusive ads and quietly harvest behavioral data. Accessibility was a core priority from the start, with support for VoiceOver, TalkBack, voice control, haptic feedback, and high-contrast visuals. The app is fully COPPA-compliant, requires no internet connection or account creation, and is available free on the App Store, with an Android version in development.

0
ProgrammingDEV Community ·

Benchmarking 5 React Table Optimisations: Only Two Actually Improved Speed

A developer tested five common optimisation techniques on a React table rendering 4,000 rows with a live filter, measuring re-render times on a production build. Using React.memo alone reduced render time by just 13ms — within measurement noise — because inline callback functions passed as props change reference on every render, defeating memo's shallow comparison. Combining memo with useCallback and useMemo cut the slowest keystroke re-render from 166ms to 47ms, making it the first genuinely effective fix. A children bailout approach clocked 0.4ms but only because it skipped the filtering work entirely, not because it processed data faster. Virtualisation, which renders only visible rows, reduced render time to 3.6ms while preserving full filter functionality, making it the most practical solution for large datasets.

0
ProgrammingDEV Community ·

Developer launches ToolFlow with 84 free CSS tools, no login or ads required

A developer built ToolFlow, a free web platform housing 84 CSS generators, design utilities, and calculators, after growing frustrated with slow, paywalled, or sign-up-required alternatives. The site organizes tools across six categories — Color, Accessibility, CSS Generators, Layout, Typography, and Utility — covering everything from gradient builders to a CSS Specificity Calculator. Each tool is a standalone HTML file built with vanilla JavaScript and CSS, keeping the entire site at roughly 2.3MB with fast load times. ToolFlow requires no account, displays no ads, and the developer has committed to keeping all tools permanently free. A optional Gumroad store offers paid CSS preset packs, but the core toolset at toolflow.app remains fully open to all users.

0
ProgrammingDEV Community ·

SpikeForge splits into modular toolkit, model hub, and dashboard packages

SpikeForge, a Python toolkit for building and testing spiking neural networks, has restructured into four separate packages: spikeforge, spikeforge-targets, spikeforge-hub, and spikeforge-dashboard. The project released versions 0.4.0 and 0.5.0 during this cycle, adding a train/test split for event data, quantization updates, and shared logging via capsize-commons. The modular design allows users to install only the components they need, so a researcher experimenting in Python is not required to install the desktop application or web dashboard. The offline-first model hub lets users browse and use a model catalogue without requiring a network connection for every experiment. Source code is available on GitHub, desktop releases are hosted on itch.io, and package links can be found at spikeforge.net.