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HBO Max Reddit Account Hijacked to Spread PasteSwitch ClickFix Malware

Hijacked HBO Max verified Reddit account ran 108 ClickFix malvertising ads delivering AMOS and Amatera stealers plus crypto clippers to macOS and Windows users.

Threat actors hijacked HBO Max's verified Reddit account (u/hbomax) to run 108 malicious ClickFix ads over 48 hours in a campaign tracked as PasteSwitch, researched by Hudson Rock and ADAMnetworks. macOS victims were served curl | zsh chains deploying MacSync and Atomic macOS Stealer (AMOS), which harvest browser credentials, Telegram data, Apple Notes, and macOS passwords, while fake Ledger, Trezor, and Exodus apps targeted BIP39 seed phrases. Windows users received an InstallFix chain using an MP3/HTA polyglot with mshta and PowerShell, scheduled-task persistence, AMSI disabling, and in-memory Amatera Stealer that hid C2 traffic (77.91.65.13:443) behind a facebook.com TLS SNI. AnimateClipper and ZigClipper components swapped copied crypto wallet addresses and used Binance Smart Chain contracts as mutable C2 dead drops; Reddit paused the ads and the initial access path remains undisclosed.

GBHackersupdated · 1d agofirst · 1d agoMalware 7 sources

Inside NVIDIA’s cuDNN Graph API: Fusion, Autotuning, and Plan Reuse with cuDNN Frontend

MarkTechPost tutorial walks through NVIDIA's cuDNN Frontend graph API, covering kernel fusion, autotuning, plan reuse, and CUDA graph capture on Colab GPUs.

The tutorial explains how to express GPU computations as operation graphs via the cuDNN Frontend graph API, running the five-step build pipeline of validate, build operation graph, create execution plans, check support, and build plans. It progresses from a single fused convolution with bias and ReLU to autotuning across engine configs, FP8-style epilogues, attention, plan serialization, dynamic shapes, and CUDA graph capture. Each kernel is benchmarked against a PyTorch reference on a single Colab GPU to verify correctness and measure cost. The piece also covers practical setup issues like making libcudnn.so visible to the frontend's dynamic loader.

MarkTechPost · 21h agoAI tools & infra1

Show HN: Pelican-bicycle alternatives (updated for 2026)

Hobbyist benchmark re-runs the pelican-bicycle SVG test on six 2026 frontier models, comparing generation time and API cost per image.

A Show HN post re-runs the classic pelican-bicycle and similar SVG generation tests across six 2026 models: GPT-6 Astra, Claude Fable 5.1, Gemini 3.8 Flash, DeepSeek V4 Pro, Qwen3.8 Max, and Fugu Ultra v2, recording wall-clock time and cost. It also lists 2025 baseline runs with ten models including Claude Sonnet 4.5, GPT-5.2 Pro, and Qwen3-VL-235B-A22B-Thinking. DeepSeek V4 Pro is consistently cheapest ($0.04-$0.10) while Qwen3.8 Max is slowest, taking up to roughly 17 minutes per generation.

Saving Jet Fuel

Tutorial optimizes flight paths to cut jet fuel costs using open-source Scikit-decide planning framework and OpenAP aircraft performance models.

A technical walkthrough demonstrates wind-aware flight path optimization using Scikit-decide, an open-source framework for reinforcement learning and automated planning, paired with OpenAP fuel-consumption models built by Dr. Junzi Sun at TU Delft and NOAA wind data. A Boeing 787-9 flying EWR to FCO can require roughly $68K in fuel, and adjusted routing could save thousands. The post uses Python 3.12, DuckDB with spatial extensions, and QGIS for map rendering.

CISA: Hackers now exploit max severity GitLab flaw in attacks

CISA added max-severity GitLab CVE-2026-85706 to its exploited-flaws catalog after watchTowr observed probing of unpatched servers.

CISA added CVE-2026-85706, a maximum-severity GitLab flaw caused by missing authentication enforcement and improper path confinement in the repository commits API, to its actively exploited vulnerabilities catalog. Unauthenticated attackers can read credentials, secrets, and arbitrary files from vulnerable servers via a single HTTP request. GitLab patched the issue in CE/EE versions 19.3.2, 19.2.6, and 19.1, and federal agencies have three days to remediate under BOD 26-04. watchTowr reported in-the-wild probes for unpatched GitLab servers, and this is the fourth GitLab vulnerability CISA has tagged as actively exploited since November 2021.

BleepingComputerupdated · 1d agofirst · 2d agoExploit / PoC in the wild 18 sourcesCVE-2026-85706CVE-2021-22175CVE-2021-39935

ClickFix attacks are tricking Mac and Windows users into hacking themselves

ClickFix campaigns trick users into pasting terminal commands via fake CAPTCHAs; latest wave abused HBO Max's hacked Reddit account to push infostealer ads.

ClickFix attacks use fake CAPTCHA or anti-bot prompts on hacked or counterfeit websites to convince victims to copy a command into Windows Command Prompt or macOS Terminal, instantly installing infostealers that steal passwords, logged-in sessions, and crypto wallets. The latest campaign compromised HBO Max's official Reddit account to post hundreds of fake ads linking to a spoofed HBO Max page carrying the lure, per researchers at Hudson Rock. It is unclear how many users were compromised. Because execution happens in the terminal, many attacks evade antivirus tools; enterprises can block terminals domain-wide and Mac users can deploy BlockBlock.

TechCrunch · Security · 2d agoPhishing & fraud in the wild1

Meta’s new One subscriptions put a price on social media and AI

Meta's new One subscription tiers pair app perks with more Meta AI usage, from $2.99 single apps to $499 monthly business Max plan.

The Verge reports Meta's Meta One subscription bundles are now globally available, following the launch of its Muse AI assistant. Individual bundles include Core at $7.99/month and Premium at $19.99/month, combining Instagram Plus, WhatsApp Plus, and Facebook Plus with expanded Meta AI media generation including Muse images and Instagram's Restyle, cheaper than $11/month for all three standalone subscriptions. Creator and business plans span Essential ($14.99/month) to Expert ($149/month) and Max ($499/month), adding verification badges, impersonation protection, and Meta Business Agent capacity.

The Verge · AI · 1d agoAI industry

Apple Reference Image: A New Approach for Verified Photography

Apple introduces Reference Image, hardware-backed verifiable photography on iPhone 18 Pro using sensor signing and Private Cloud Compute to counter AI-generated fakes.

Apple announced Reference Image, an opt-in camera mode debuting on the main sensor of iPhone 18 Pro and iPhone 18 Pro Max that produces securely timestamped, verifiable photographs. The design splits into two phases: a secure digital negative created by cryptographically signing pixel data at the sensor immediately after capture (preventing injection or tampering), then developing that negative into a reference image. Private Cloud Compute handles processing without exposing image contents to anyone, including Apple, and fraudulent reference images can be revoked without revealing the photographer's identity. Apple positions the system as stronger than C2PA-based approaches, which sign metadata after capture, are vulnerable to editing-chain compromise, and can tie images to a device or individual.

Meta expands subscription push with new AI-focused plans

Meta launched Meta One subscriptions ($7.99–$499/month) bundling expanded Muse AI image and video generation across Facebook, Instagram, and WhatsApp.

Meta introduced Meta One with consumer Core ($7.99/mo) and Premium ($19.99/mo) tiers plus business plans ranging from Essential ($14.99/mo) to Max ($499/mo). Subscriptions unlock expanded Muse Image, Muse Video, Restyle editing, and Meta Business Agent usage, following Meta's $14.3B investment in Scale AI. Appfigures data shows Instagram's daily subscription revenue averaging $1.2M and Facebook's $528K after the March Plus-tier launches, up 475% and 143% respectively. BNP Paribas forecasts $13.5B added revenue by 2028; Truist estimates $20B by 2030.

TechCrunch · AI · 1d agoAI industry

[AINews] AEF-1 standard emerges for Third Party Evaluators, as Xai, OpenAI, and Anthropic all cosign

xAI, OpenAI, and Anthropic cosign the AEF-1 third-party evaluation standard while Dario Amodei proposes embedded evaluators for safety verification.

The AI Evaluator Forum published AEF-1, a baseline standard for independent third-party AI evaluations covering access, conflicts of interest, funding relationships, recusal, and transparency, cosigned by xAI, OpenAI, and Anthropic. Dario Amodei wrote a rare personal blogpost proposing embedded evaluators such as METR with desks, badges, company laptops, and internal-risk-team-level access to verify safety commitments, plus democratic and global coordination frameworks. The roundup also covers the pacing debate: Bilal Chughtai left Google DeepMind arguing progress may outrun alignment, while critics including Aidan Gomez and Cohere push back against slowdowns and lab gatekeeping. Additional items include Cline Desktop's launch with open-weight model support.

Latent Space · 1d agoAI safety & security

Tractable Defense against Advanced Persistent Threats in Networked Settings

Mean-field heuristic makes Boolean Dynamical Systems defense against APTs tractable, exactly computing the value function under max-entropy assumptions.

The paper models APT network defense via Boolean Dynamical Systems, capturing attack stealth, noisy IDS observations, lateral movement, and defender hardening trade-offs. Because the emergent value function is computationally intractable with respect to network size, the authors propose a mean-field-inspired heuristic value function. They prove the heuristic is an exact computation under a maximum-entropy state-estimate assumption and numerically evaluate its quality as entropy assumptions are violated.

arXiv cs.CR · 2d agoResearch

Anthropic merges Claude Chat, Cowork, and more into a single product

Anthropic merged Claude Chat and Cowork into one product and launched Claude Docs and Slides for creating and exporting documents and presentations.

Anthropic is folding Claude Chat and Cowork into a single product where Claude automatically determines what a task needs, eliminating tab switching. It also introduced Claude Docs and Claude Slides for creating, editing, and exporting documents and presentations as PowerPoint or PDF, with Claude Design now integrated into conversations. The rollout starts with Pro and Max plans, followed by Team and Free tiers; enterprise admins receive at least 30 days' notice.

The Decoderupdated · 46m agofirst · 2h agoAI industry 5 sources

Oracle’s September patches put Fusion Middleware back in the hot seat

Oracle's September 2026 CPU ships 673 patches including six CVSS 10.0 flaws in Fusion Middleware and Hyperion, none exploited in the wild.

Oracle's September 2026 Critical Security Patch Update delivers 673 patches across 17 product families, led by E-Business Suite with 159 fixes and Fusion Middleware with 153. Six CVSS 10.0 vulnerabilities in Access Manager, Forms, Internet Directory, Platform Security for Java, WebLogic Server, and Hyperion are remotely exploitable without authentication, and Oracle reports none exploited in the wild. Now patching monthly, Oracle urged immediate deployment and warned that unsupported releases are not tested for these flaws.

Det-LIME: Detector-Aware, Multi-Instance Local Interpretable Model-Agnostic Explanations for Automated Marine Mammal Detection

Det-LIME extends LIME to multi-instance object detection explanations, improving attribution for harbor seal aerial surveys.

Det-LIME adapts LIME to object detection by combining per-detection weighting, a proximity kernel emphasizing box-adjacent regions, and IoU-based matching to track instances across perturbations. It was evaluated on aerial drone imagery for harbor seal detection plus a seabird case study, and compared against vanilla LIME, Stabilized LIME, Deterministic LIME, and gradient-based attribution. Using Attribution Ratio and Max Saliency Hit Rate metrics, it consistently improved multi-instance attribution and produced box-aligned explanations useful for debugging and data augmentation.

arXiv cs.AI / cs.LG / cs.CL · 1d agoAI research

Présentation de Meta One : Un service d’abonnement offrant davantage de fonctionnalités et d’IA pour créer, se connecter et se démarquer

Meta launches Meta One subscription bundles with expanded Meta AI usage and creator/business tools, already at 15 million subscriptions and trials.

Meta launched Meta One, a new subscription service across Instagram, Facebook, WhatsApp and Meta AI with more than 50 features and 15 million subscriptions and trials to date. Core and Premium bundles add heavier use of compute-intensive AI features, including image creation/editing and video generation via the Muse models, plus tools like Restyle on Instagram. Pricing starts at EUR 2.49/month for single-product plans, EUR 6.99 for bundled consumer plans and EUR 16.99 for creator/business bundles; the core Meta AI experience remains free.

Meta Newsroom · 1d agoAI industry

Introducing Meta One: A Subscription Service With More Features and AI to Create, Connect, and Stand Out

Meta launches global Meta One subscriptions bundling Instagram, Facebook, WhatsApp Plus with expanded Meta AI and Muse media generation, priced $2.99-$499 monthly.

Meta introduced Meta One, a global subscription service with plans for individuals, creators, and businesses, launching with more than 50 features across Instagram, Facebook, WhatsApp, and Meta AI. Individual bundles Core ($7.99/month) and Premium ($19.99/month) combine the single-product Plus plans with expanded use of compute-intensive AI capabilities, including image/video generation powered by Muse models and Instagram's Restyle. Business tiers range from Essential ($14.99/month) to Expert ($149/month) and Max ($499/month), with expansion planned to Edits, AI glasses, and more.

Meta Newsroom · 1d agoAI industry

240,000 Hit by Data Breach at Japan’s Digital Agency

Japan's Digital Agency says hackers exploited a VPN flaw and a maintenance account to steal ~246,000 records on 240,000 people.

Japan's Digital Agency disclosed a breach of its Government Solution Service (GSS) affecting roughly 240,000 individuals, discovered in late June. Attackers exploited a publicly disclosed vulnerability in a VPN product and used a maintenance and operations employee's account to access over 246,000 records, including names (~236,000), email addresses (~231,000), phone numbers (~94,000), and addresses (~1,000). The agency blocked external access to the affected server, suspended the account, and said no ID numbers or financial account data were compromised.

SecurityWeekupdated · 1d agofirst · 1d agoData breach in the wild 2 sources

Agent Harness vs Agent Framework vs MCP: Which Layer Owns the Loop, State, Tools, Permissions, and Recovery

Architecture explainer separates agent harnesses, frameworks, and MCP by which layer owns the loop, state, permissions, and recovery.

The article distinguishes agent harnesses (OpenAI Codex, Claude Agent SDK), which own the execution loop, sandbox, permission model, and recovery; frameworks (LangGraph, OpenAI Agents SDK, Microsoft Agent Framework), which supply composable primitives; and MCP, a stateless JSON-RPC wire protocol governed by the Linux Foundation's Agentic AI Foundation since December 2025. An ownership matrix maps the execution loop, state, tool transport, permissions, recovery, sandboxing, and multi-agent orchestration to each layer. The 2026-07-28 MCP specification made the protocol fully stateless, retiring the initialize handshake and session headers.

MarkTechPost · 1d agoAI research1

Notes on gotchas while migrating 35kb preprompts from Opus to self-hosted Ollama

Opinion piece urges migrating 35KB preprompts from Anthropic/OpenAI to self-hosted Ollama, citing session privacy risks and safety filters blocking security research.

The author documents gotchas migrating 35KB preprompts from Claude Opus to self-hosted Ollama, motivated by fears that frontier providers train on user sessions, citing the OpenAI Navier-Stokes controversy. The piece argues inference providers cannot audit their own retention or training pipelines and that only self-hosted hardware offers verifiable privacy. It also criticizes frontier safety filters for refusing vulnerability research tasks and calls for models that support exploitability testing in CI/CD pipelines.

Hierarchical NeRF with JAX3D for Volumetric Rendering, Novel-View Synthesis, and 3D Reconstruction

MarkTechPost tutorial implements a hierarchical NeRF in JAX using jax3d volume-rendering primitives for novel-view synthesis and 3D reconstruction.

The tutorial builds an end-to-end hierarchical Neural Radiance Field using JAX, Flax, Optax, and jax3d's volume-rendering functions (sample_along_rays, volume_rendering, sample_piecewise_constant_pdf). It implements positional encoding, skip connections, separate coarse and fine networks, and view-direction conditioning with hierarchical importance sampling. Training uses JAX JIT compilation, Adam optimization, exponential learning-rate decay, and gradient clipping. Evaluation covers PSNR, depth and opacity visualization, 360-degree rendering, and marching-cubes geometry extraction.

MarkTechPost · 2d agoAI research