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Indonesia Hit by Android Banking App-Cloning Campaign

GoldFactory exploits Android Work Profile to deliver the Gigabud banking trojan to Indonesian users via cloned banking apps, with Mantax and Otax spreading separately.

The GoldFactory threat group is running an app-cloning campaign against Android banking customers in Indonesia, abusing the Android Work Profile feature to deliver its Gigabud trojan. The Mantax and Otax malware families are spreading through separate distribution channels. Abusing Work Profile to install or conceal cloned banking apps is a notable mobile technique, though the article reports no victim counts or loss figures.

Dark Readingupdated · 6d agofirst · 6d agoThreat actor in the wild 7 sources

YuE2 · Frontier Music with Symbolic Planning

YuE2, a 3.59B-parameter music generation model, scores 6.9632 on SongBench, beating Suno v5 via symbolic planning.

YuE2 is a music generation model of roughly 3.59B parameters and 28 layers supporting song creation, covering, and agentic editing through editable ABC symbolic scores. Its best-of-8 setting reaches 6.9632 on SongBench, the highest mean among 15 evaluated settings on WildSongBench (192 prompts), ahead of Suno v5 at 6.8721. The project also introduces MERT2, whose 632M-parameter encoders achieve state of the art on 14 of 15 MARBLE metrics, and SheetSage2, which transcribes beats, downbeats, key, chords, structure, and melody with SOTA on 10 of 13 benchmark metrics.

Hacker News · AIupdated · 6d agofirst · 6d agoModel release 2 sourcesHN 43↑ · 35 comments

12 Best CASB Solutions Compared (2026): Features & Pricing

GBHackers' 2026 buyer's guide compares 12 CASB-capable vendors, arguing standalone CASB pricing has dissolved into per-user SSE subscriptions.

The article evaluates twelve CASB-capable platforms including Microsoft Defender for Cloud Apps, Palo Alto Networks' Prisma Access CASB, Netskope, iboss, Forcepoint ONE (Bitglass), Trend Micro Cloud App Security, and Skyhigh Security. It frames purchasing around SSE bundle economics, noting Defender for Cloud Apps ships inside Microsoft 365 E5 while Netskope, Zscaler, and Skyhigh price CASB into per-user SSE tiers. It also flags Saviynt, common on legacy roundups, as an IGA vendor rather than a true CASB.

GBHackersupdated · 1d agofirst · 1d agoIndustry 8 sources

Objective vs. Search: Decomposing What Makes a Good Tokeniser

New tokeniser study shows search procedure, not optimisation objective, drives bits-per-byte performance across model sizes, vocabulary sizes, and multilingual settings.

The paper disentangles BPE and UnigramLM along two axes: optimisation objective (compression vs log-likelihood) and search procedure (bottom-up merging vs top-down pruning). Two new algorithms, BottomUpLL and TopDownComp, complete the 2x2 design space, and trained language models are evaluated on bits-per-byte and BLiMP across model sizes, vocabulary sizes, and English-only vs multilingual domains. Bottom-up tokenisers consistently achieve lower bits-per-byte in most settings, while BLiMP shows no consistent relationship with design choice.

arXiv cs.AI / cs.LG / cs.CL · 19h agoAI research

Top 10 Best Cloud Access Security Broker (CASB) Solutions in 2026

2026 CASB guide ranks Netskope first for depth and Microsoft Defender for Cloud Apps for Microsoft estates, as standalone CASB fades into SSE.

Buyer's guide covers ten CASB products across four enforcement modes: API, forward proxy, reverse proxy and log-based discovery. Netskope leads on SaaS activity context depth, while Microsoft Defender for Cloud Apps wins on Microsoft 365 E5 estate economics. The guide argues standalone CASB purchases have largely disappeared into SSE platforms and increasingly overlap with SSPM.

Cyber Security News · 2d agoTools

Fathom: Per-Query Read Depth for Sparse Decoding over Offloaded KV Caches

Fathom introduces per-query bit-depth scanning of offloaded 4-bit KV caches, making long-context decoding 1.67x faster on Qwen3-8B at one million tokens.

Fathom is a key-scan method for sparse attention over KV caches resident in host memory, where each query adaptively chooses how many bits of each key channel to read using reverse water-filling over variance-weighted channel importance. The 4-bit K cache is stored channel-major as bit planes, so reading a prefix of planes is an exact t-bit quantizer. At one million tokens on Qwen3-8B, decode steps are 1.67x faster in GPU time than 136-bit scans used by Double Sparsity, Loki, and SparQ r=32, and 92-bit scans match the accuracy of 136-bit scans on real coding-agent sessions. The method requires the index to be offloaded to host memory and matches exact top-k decoding on RULER-style tasks.

Hugging Face daily papers · 2d agoAI research

Snap tries to make the case again for its $2,200 smart glasses

Snap unveiled new features for its $2,200 Specs smart glasses, including an anticipatory AI system and enterprise partnerships with Amazon, Salesforce, and Nvidia.

At a Los Angeles event, Snap showcased updates for its Specs smart glasses, which launched earlier in 2026 at $2,200 to a mixed reception. The headline announcement was Specs Intelligence, an "anticipatory AI" system that builds an understanding of user goals and routines and works with iPhones and Macs independently of the glasses. Snap also launched Specs for Enterprise with partnerships including Amazon, Salesforce, and Nvidia, an NBA/WNBA AR training app, and a Verizon cellular connectivity package costing $10/month for Verizon customers and $20/month otherwise. The devices will ship later this fall after an October pop-up in Los Angeles.

TechCrunch · AI · 12h agoAI industry 2 sources

Breaking the 1.58-bit Barrier for Ternary LLMs

An arXiv paper claims a method that breaks the 1.58-bit barrier for ternary large language models.

The arXiv preprint 2609.16338, titled 'Breaking the 1.58-bit Barrier for Ternary LLMs,' presents research on ternary-weight large language models, which use roughly 1.58 bits per weight. The source text contained only the title and Hacker News engagement data (56 points, no comments), so further technical details are not available.

Hacker News · AI · 16h agoAI researchHN 56↑ · 0 comments

Edge0/Edge0-35B-A3B-preview — new model trending #30 on Hugging Face

Edge0 released a 35B sparse MoE model running in under 3 GiB of memory at 15 tok/s via SSD expert offload and int4 quantization.

Edge0-35b-a3b-preview is a 35B-parameter MoE (256 experts, 4 active per token) built on Qwen3.5-MoE 35B-A3B, shipped as a 4-bit checkpoint with LoRA and prerouter adapters under Apache 2.0. The edge0 framework streams expert weights from SSD on demand, bounding peak active memory at 2.9 GiB and achieving 14.9-17.7 tok/s decode on a Mac mini M4 Pro (MLX backend). Recover-LoRA distillation keeps the int4 model within 3.9 points of its fp16 base (79.2 vs 83.2 average on OpenCompass benchmarks including AIME 2026, HumanEval, GPQA-Diamond, MMLU-Pro, and IFBench).

Hugging Face trending models · 9d agoModel release

Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions

A unified ViT compression pipeline (H-BAC pruning, quantization, distillation) cuts plant-disease models 54.5x to 6.01 MB while keeping 95.13% accuracy.

Researchers combined Hessian-Balanced Adaptive Block Pruning (H-BAC), guided by second-order sensitivity estimation, with quantization and attention-based knowledge distillation to compress Vision Transformers for on-device chilli plant disease detection in India. On a 3-class cross-village, cross-device out-of-distribution dataset, the integrated pipeline reduced model size from 327.42 MB to 6.01 MB (54.5x) at 95.13 +/- 2.32% accuracy, matching the 95.13% FP32 baseline. Ablations also show a directly trained 6.01 MB INT8 student reaches 94.87% accuracy, indicating where pruning and distillation add limited value.

arXiv cs.AI / cs.LG / cs.CL · 12d agoAI research

Better Vector Search for Long Documents: Chunking Inside Manticore Search

Manticore Search added automatic document chunking for vector columns, lifting long-document recall@5 from 55.1% to 83.3% in its benchmarks.

Manticore Search introduced a chunk_strategy option for model-backed vector columns in CREATE TABLE, offering five strategies (truncate, mean, fixed, recursive, sentence) with tunable max_tokens, overlap_tokens, and max_chunks, eliminating external splitters and separate chunk tables. On its 189-page, ~298k-word manual, sentence chunking improved recall@5 from 55.1% to 83.3% and MRR from 0.44 to 0.70, at roughly 2.5x RAM and 4x ingest time. Documents still return as single results; queries are never chunked.

Hacker News · security · 3h agoAI tools & infraHN 31↑ · 1 comments

OpenAI buys smartphone camera maker Glass Imaging for $300 million, report says

OpenAI acquired smartphone camera startup Glass Imaging for over $300 million, deepening rumored hardware ambitions after its $6.5 billion io deal.

OpenAI bought Glass Imaging, a Los Altos startup founded in 2019 by former Apple engineers Ziv Attar and Tom Bishop who led Apple's Portrait Mode team, per a Wall Street Journal report. Glass Imaging had raised about $30 million and uses neural networks that learn individual camera systems to improve image quality at capture time. The acquisition fuels speculation about OpenAI hardware plans including smartphones, earbuds, and AI companion devices, following its $6.5 billion purchase of Jony Ive's io startup in 2025.

TechCrunch · AI · 2d agoAI industry

Researchers Show How Meta's 'Pervert Glasses' Are Used to Harass Women

University of Sydney researchers detail how pickup artists use Meta Ray-Ban smart glasses to covertly film and harass women, then post the videos on Instagram.

Researchers Joanne Gray, Milica Stilinovic, Marcus Carter, and Ben Egliston analyzed 350 Instagram videos posted between September 2023 and March 2026 showing unsolicited approaches to women filmed with smart glasses. They found a clear correlation between covert filming and harassment severity, arguing ambient capture creates 'borderline' harassment that evades platform moderation mechanisms. Instagram head Adam Mosseri said the platform would remove harassing pickup-line content, though similar videos remain widespread a month later. Meta's safeguards, such as the recording light, were previously criticized as insufficient, and users have modded glasses to disable the light.

404 Media · Aug 12, 2026AI safety & security

m-a-p/YuE2-3B — new model trending #30 on Hugging Face

M-A-P released YuE2-3B, an open music generation model that outperforms Suno v5 on WildSongBench and runs locally on a 24GB GPU.

The M-A-P (multimodal-art-projection) team released YuE2-3B, an open-weights music generation model that turns lyrics and a style prompt into full songs with vocals and accompaniment. It uses an AR-NAR Mixture-of-Transformers backbone with symbolic planning and flow matching through a VAE, and supports editable scores (melody and chords, including ABC notation) plus agentic editing workflows. On 192 WildSongBench prompts it reports a SongBench average of 6.9632 (best-of-8) versus 6.8721 for Suno v5, claimed as state of the art among evaluated open and proprietary models. It runs 48 kHz stereo inference locally on a single 24GB NVIDIA GPU without quantization, with companion releases including YuE2-Vae, MERT-v2 encoders, the WildSongBench dataset, and SheetSage2.

Hugging Face trending models · 7d agoModel release1

GoldFactory Weaponizes Open-Source Vwork App Cloner in Gigabud Banking Malware Attacks

Group-IB says GoldFactory's Gigabud Android trojan uses Vwork, a weaponized Shelter fork, to clone banking apps into isolated Work Profiles and evade bank-side detection.

Group-IB's 'Hook for Gold' investigation found GoldFactory ships Vwork, a modified fork of the open-source Shelter app, alongside its Gigabud Android banking trojan, active since 2022. Vwork abuses Android Work Profile provisioning to clone banking apps into an isolated environment, weakening the link between detected malware signals and fraudulent transactions. Gigabud has targeted victims in Southeast Asia, Latin America, the Middle East, Africa, and beyond via fake airline, tax, and government apps requesting Accessibility and overlay permissions. In Indonesia, telemetry recorded about 1,469 compromised devices and roughly $960,939 in estimated losses between February and July 2026.

GBHackers · 8d agoMalware in the wild

Kaininja: Extending Native 3D Generators to the Part Level

KaiNinja extends TRELLIS.2 native 3D generation to part-level assets via a dual-volume O-Voxel representation, cutting whole-object Chamfer distance by 40%.

KaiNinja extends the TRELLIS.2 native 3D generator to produce part-level assets instead of one fused mesh, enabling downstream editing, rigging, and simulation. A dual-volume form of the O-Voxel representation solves the problem that a single volume cannot represent interfaces where two parts touch. The model needs no segmentation network, is partly trained on LLM-agent-authored part data, lowers whole-object Chamfer distance by 40%, and raises strict part F-score by 16% versus other part-generation pipelines.

Hugging Face daily papers · 3d agoAI research

Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original

Multiverse Computing details quantization-aware healing, producing a 4-bit compressed model that reportedly outperforms its full-precision original.

A Hugging Face blog post by Multiverse Computing's CAI team introduces quantization-aware healing for compressed models. The post claims the resulting 4-bit model outperforms the original full-precision model. No additional details or benchmarks were available in the provided text.

Hugging Face Blog · 23d agoAI research

New Android Malware Steals Banking PINs and Reinstalls Itself After Users Delete It

Zimperium identified RatHat, an Android banking trojan capturing PINs via overlays and abusing Wireless Debugging to reinstall itself after removal.

Zimperium zLabs identified RatHat, an Android banking trojan delivered via smishing, malvertising, and third-party forums, linked to actors apparently operating in China. After abusing Accessibility permissions to enable Wireless Debugging and pair with local ADB for shell access, it installs a Go-based local agent and a Fast Reverse Proxy client in system directories. It uses fake overlays to steal banking, crypto, and payment credentials, intercepts SMS one-time codes, sends screen maps to a generative AI assistant for adaptive automation, and reinstalls itself via /data/local/tmp/app.apk after uninstall.

Cyber Security Newsupdated · 57m agofirst · 5h agoMalware in the wild 3 sources

AlayaVista: Streaming World Modeling from Panoramic States to Perspective Video

AlayaVista is a camera-controllable streaming video world model that decouples panoramic scene evolution from perspective synthesis, trained on a 1,318-hour 4K dataset.

AlayaVista builds a 360-degree scene prior from a single perspective image, evolves it as a camera-conditioned panoramic latent state, and maps it to perspective video via a latent viewport renderer plus a perspective refiner. Chunk-autoregressive generation and few-step distillation enable efficient streaming. The authors introduce MUGEN, a real-world panoramic video dataset with 1,318 hours of at-least-4K video and rich semantic and geometric annotations.

Hugging Face daily papers · 4d agoAI research

A Vinyl Bar in Shibuya is a startup from a former Spotify leader for making music apps

Former Spotify innovation head raises $5.5M pre-seed for A Vinyl Bar in Shibuya, a startup building playful music-creation apps with selective generative AI features.

A Vinyl Bar in Shibuya, founded by former Spotify head of innovation Máuhan M Zonoozy, raised a $5.5M pre-seed round from Mantis VC, SV Angel, Boxgroup, Quiet Capital and others. The startup ships small music-play apps including Speed Surfer, Usersound, Stacks, Drops, Sampler, and the iOS mixer app bop, plus a new prompt-based sound creation feature. Zonoozy says the company deliberately avoids infusing AI into every product, arguing human taste and participation become more valuable as AI-generated content grows abundant.

TechCrunch · AI · 3d agoAI industry 2 sources

Gigabud Creates Android Work Profiles to Hide From Banking App Malware Checks

Group-IB reports the Gigabud Android banking trojan uses a cloned work profile to hide from banking app malware checks, with infections confirmed in Indonesia.

Group-IB says Gigabud installs a helper app called Vwork, derived from the open-source Shelter tool, which creates an Android work profile and drops a tampered banking app inside it, hiding the trojan from banking apps' malware scans. Gigabud, active since 2022 and linked by Group-IB to the GoldFactory group, abuses Accessibility access and overlay screens to steal credentials and run fraudulent payments while a black screen conceals the operator's actions. Group-IB confirmed the full attack chain on infected devices in Indonesia, counting about 1,469 compromised devices and estimated losses of roughly $960,000 between February and July 2026. Vwork-compatible Gigabud samples have been found targeting 11 countries including Brazil, Mexico, Indonesia, Thailand, and Türkiye, though only the Indonesian chain is confirmed.

The Hacker News · 7d agoMalware in the wild1

Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses

Quesma benchmarks Qwen3.8 27B quantizations: 4-bit Q4_K_M matches BF16 on key benchmarks while 1-bit collapses to random chance.

Quesma spent roughly $3,000 on Modal GPUs testing Unsloth GGUF quantizations of Qwen3.8 27B across GPQA Diamond, IFBench, and Terminal-Bench 2.1. The 17 GB Q4_K_M quantization matched the 55 GB BF16 model on Terminal-Bench 2.1 and showed little degradation down to 4-bit, while the 2-bit UD-Q2_K_XL dropped noticeably. At 1-bit, scores on GPQA Diamond fell to random-guess levels, with longer reasoning making results worse, and reasoning effort settings significantly affected outcomes.

Hacker News · AI · 8d agoAI researchHN 56↑ · 30 comments1

Hackers Clone Banking Apps Into Hidden Android Work Profiles to Evade Fraud Detection

GoldFactory-linked Gigabud and Vwork malware clone banking apps into hidden Android work profiles to evade fraud detection across 11+ countries.

Group-IB links Vwork, a modified version of the open-source Shelter app cloner, to the GoldFactory group and its Gigabud Android RAT, which clones victim banking apps into an isolated work profile so fraud sessions look clean to banks. From February through July 2026, researchers observed about 1,469 compromised devices and 1,281 potentially compromised logins in Indonesia, with estimated losses near $960,939. Targets span Brazil, Colombia, Egypt, Indonesia, Mexico, Morocco, the Philippines, Thailand, Türkiye, Laos, and a GCC state; delivery uses fake airline, tax, government, and banking apps pushed via phishing sites, messaging apps, and social media.

Cyber Security News · 8d agoMalware in the wild1

Structural Jailbreaks Generalize but Do Not Compound: A cross-provider and multilingual study of Involuntary In-Context Learning

Researchers show IICL structural jailbreaks generalize to Google Gemini, lifting attack success to 80-100% on harm and financial benchmarks; non-English prompts attenuate it.

The study red-teams two Google Gemini models with Involuntary In-Context Learning (IICL), a structural jailbreak reframing harmful requests as the final cell of a data-labeling task. IICL lifts attack success from at most 6.7% to 80-90% on HarmBench and 97-100% on financial abuse (FinProof), an order of magnitude above prior results on OpenAI's GPT-5.4. Against a compounding hypothesis, forcing IICL output into Spanish, Hindi, or Arabic attenuates the attack in 11 of 12 conditions, attributed to a 'relevance curse' producing lower-quality harmful content in lower-resource languages. Findings replicate under an independent non-Google judge (Cohen's kappa 0.86 over 377 paired verdicts).

arXiv cs.CR · 9d agoAI safety & security1

IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license

IBM released Granite Time Series PatchTST-FM-r2, a claimed state-of-the-art time series foundation model under a commercial-friendly license.

IBM Research announced the release of Granite Time Series PatchTST-FM-r2, published via the Hugging Face blog. The model is presented as state-of-the-art for time-series forecasting and is offered under a license permitting commercial use. No benchmark numbers or model size details were provided in the available text.

Hugging Face Blog · 7d agoModel release

openbmb/MiniCPM5-2B — new model trending #4 on Hugging Face

OpenBMB released MiniCPM5-2B, a dense 2B open-weights Transformer claiming 2B-class open-source SOTA for on-device deployment.

OpenBMB released MiniCPM5-2B, the second model in the MiniCPM5 series following MiniCPM5-1B, and it is trending #4 on Hugging Face. The dense 2B Transformer targets on-device, local, and resource-constrained deployment and claims 2B-class open-source SOTA while remaining competitive with 4B-class models. Reported strengths include coding, mathematics, long-context understanding, tool use, and agentic tasks; a tech report (arXiv 2506.07900), GitHub repo, and online demo accompany the release.

Hugging Face trending models · 11d agoModel release

After accusations of selling ‘perv glasses,’ Meta prepares to sell a pair without a camera

Meta is preparing camera-less Luna smart glasses with microphones and an AI button to access its chatbot and Muse agent, per reports.

The Information reports Meta is developing Luna, a camera-free smart glasses model with six built-in microphones and a side button that activates Meta's AI chatbot and its Muse consumer agent, possibly unveiled at next week's Meta Connect event. The move follows consumer backlash over camera-equipped glasses that critics called 'perv glasses.' Meta's Reality Labs continues to post large losses despite the smart glasses line's relative market success.

TechCrunch · AI · 17h agoAI industry

VectraRAT: An Undocumented Full-Stack MaaS Built From Scratch

SOCRadar's Threat Research Unit documents VectraRAT, a previously unreported full-stack Malware-as-a-Service platform built entirely from scratch.

SOCRadar's Threat Research Unit (STRU) documented VectraRAT, an undocumented Malware-as-a-Service platform. Unlike most MaaS offerings derived from leaked builders, VectraRAT was built entirely from scratch. The report details the platform's architecture and capabilities offered to affiliate customers.

SOCRadarupdated · 23h agofirst · 3d agoMalware 3 sources

The Other Half of the Memory Wall: Serving 35B MoEs from SSD with Trained Routing Prediction

Edge0 streams 35B-parameter MoE inference from SSD on a 24GB machine at 20 tokens/s using a one-token-ahead prerouter, with framework and checkpoints open-sourced.

The paper (arXiv 2609.18063) presents Edge0, a streaming MoE inference engine whose per-layer prerouter predicts the next layer's expert routing one token ahead so SSD reads can be pre-staged with nothing dropped. An unmerged recovery LoRA trained on the student path compensates for quality lost to int4 quantization and routing replacement. On a single 24GB machine it serves a 35B MoE at 20 tok/s within 3GiB of peak active memory, within a few points of its fp16 teacher across five public benchmarks; framework, checkpoints, and adapters are open source.

Hugging Face daily papers · 1d agoAI tools & infra

TransNormal-2: Geometry-Grounded Rectified Flow with Edge-Aware Decoding for Precise Normal Estimation

TransNormal-2 improves monocular surface-normal estimation by fixing VAE edge degradation with geometry-aware losses and refinement, matching MoGe-2 with 1.4% of annotations.

TransNormal-2 is a FLUX.2-based rectified-flow framework for monocular surface-normal estimation with single-step deterministic inference. The authors quantify that VAE 8x spatial compression introduces 1.3-8.5 degrees of mean angular error even on ground-truth normals, with edge error up to 2.8x the global error. The method adds geometry-aware pixel-space losses and an RGB-guided Geometric Refinement Module to correct boundary-localized decoding errors. It matches or exceeds MoGe-2 on all eight reported metrics using only 1.4% as many task-specific annotations, and cuts transparent-object MAE by 4.2 degrees on ClearGrasp and 3.1 degrees on ClearPose.

Hugging Face daily papers · 11d agoAI research