ZeroHour
DashboardNewsCVEsExploitsIncidentsAIBriefAnalyticsEntitiesWatchlistIOCsAsk the feedSourcesFeeds & APIKiosk mode

Search: “SMA 1000”

32 stories

Searchkeywordsmart
DomainAllCyberAIWindow24h3d7d30dAllIn the wildImportant onlyShow duplicates
CategoryAllExploit / PoC 21Vulnerability 11Ransomware 6Malware 2Data breach 2Phishing & fraud 1Policy & legal 1Advisory 1Industry 1
SeverityAllcritical 39high 6medium 0low 0info 1

Smart search ranks by meaning as well as keywords (one row per story, last 45 days).

SonicWall SMA 1000 appliances under attack via zero-day flaws

SonicWall confirms active exploitation of zero-day SSRF (CVE-2026-83548) and command injection (CVE-2026-83549) flaws in SMA 1000 remote access appliances.

SonicWall confirmed attackers are actively exploiting two previously undisclosed vulnerabilities in SMA 1000 SSL VPN appliances, affecting physical and virtual models 6210, 7210, and 8200v but not SMA 100 appliances or SonicWall firewalls. CVE-2026-83548 is a pre-authentication SSRF in the Appliance Work Place interface allowing remote unauthenticated attackers to gain unauthorized access to sensitive functionality, while CVE-2026-83549 is an OS command injection in the Appliance Management Console that can yield remote code execution under specific conditions for authenticated admins. The vendor urged immediate hotfix deployment, IoC review with technical support, and re-imaging or redeployment plus password and TOTP token resets on confirmed compromise. This is the latest in a series of zero-day attacks against SMA 1000 appliances following waves in late 2025 and June-July 2026.

Help Net Security · 15d agoExploit / PoC in the wildCVE-2026-83548CVE-2026-83549

SonicWall SMA 1000 Zero-Days Enable Unauthenticated RCE

New SonicWall SMA 1000 zero-days enable unauthenticated remote code execution, with exploitation observed following earlier summer attacks on other SonicWall edge zero-days.

Zero-day vulnerabilities in SonicWall's SMA 1000 secure access appliances allow unauthenticated remote code execution, and exploitation activity is being observed. This follows attacks earlier in the summer that abused two other zero-day vulnerabilities in SonicWall edge devices. Internet-facing appliances used for remote access make this an urgent patching priority for defenders.

Dark Reading · 14d agoExploit / PoC in the wild

Attackers Exploit Two SonicWall SMA 1000 Zero-Days That May Form an Attack Chain

SonicWall patches two actively exploited zero-days (CVE-2026-83548, CVE-2026-83549) in SMA 1000 VPN appliances, likely chained for code execution.

SonicWall fixed CVE-2026-83548 (CVSS 10.0), a pre-authentication SSRF in the Appliance Work Place interface, and CVE-2026-83549 (CVSS 7.8), a post-authentication OS command injection in the Appliance Management Console. The company investigated a case indicating active exploitation, suggesting attackers chained both bugs to execute arbitrary code on susceptible devices. Affected SMA 1000 models 6210, 7210, and 8200v require hotfixes 12.4.3-03526 or 12.5.0-02952; customers are urged to hunt for IoCs and re-image, reset credentials, and rotate TOTP if found.

The Hacker News · 14d agoExploit / PoC in the wildCVE-2026-83548CVE-2026-83549CVE-2026-15409+1 CVEs

SonicWall Patches Two New Actively Exploited Zero

SonicWall patches two actively exploited SMA 1000 VPN zero-days: CVSS 10.0 pre-auth SSRF CVE-2026-83548 and post-auth command injection CVE-2026-83549, chained for RCE.

SonicWall released hotfixes for two zero-day vulnerabilities in its SMA 1000 VPN appliances, with SonicWall PSIRT confirming active exploitation in the wild. CVE-2026-83548 (CVSS 10.0) is a pre-authentication SSRF in the Appliance Work Place interface allowing unauthenticated unauthorized operations; CVE-2026-83549 (CVSS 7.8) is a post-authentication OS command injection in the Appliance Management Console enabling arbitrary command execution and RCE. The flaws affect models 6210, 7210 and 8200v running 12.4.3-03453 or earlier and 12.5.0-02835 or earlier, fixed in versions 12.4.3-03526 and 12.5.0-02952. This follows a July Volexity report on threat actor UTA0533 chaining two SMA 1000 zero-days to gain root access and deploy the KNUCKLEBALL Python backdoor.

Security Affairs · 14d agoExploit / PoC in the wildCVE-2026-83548CVE-2026-83549CVE-2026-15409+1 CVEs1

Attackers exploit zero-days in consistently besieged SonicWall product

Two actively exploited SonicWall SMA 1000 zero-days chain to unauthenticated RCE; patches released and CISA added both to KEV.

SonicWall disclosed and patched two zero-days in SMA 1000 appliances: CVE-2026-83548, a maximum-severity pre-authentication SSRF, and CVE-2026-83549, a high-severity OS command injection. Rapid7 said chaining the flaws yields unauthenticated remote code execution, and CISA added both to its KEV catalog Wednesday. The vendor provided no IOCs or victim counts, urging customers to hunt for compromise, reimage or redeploy appliances, and reset all passwords and tokens. The product has faced repeated exploitation, including ransomware-linked flaws used by INC and Akira.

CyberScoop · 13d agoExploit / PoC in the wildCVE-2026-83548CVE-2026-83549

SonicWall's SMA1000 boxes under active attack again

SonicWall warns attackers are chaining two SMA1000 zero-days, a CVSS 10.0 SSRF and command injection, to compromise VPN gateways.

SonicWall says attackers are actively exploiting two chained zero-days in SMA 1000 appliances: CVE-2026-83548, a pre-authentication SSRF rated CVSS 10.0, and CVE-2026-83549, a post-authentication OS command injection (CVSS 7.8) in the Appliance Management Console. Hotfixes are available for SMA 6210, 7210, and 8200v appliances with no workarounds; SonicWall recommends reimaging compromised devices, rotating passwords, and resetting TOTP tokens. NHS England assesses further exploitation as almost certain, following a similar exploited pair in July when CISA added CVE-2026-15409 to its KEV catalog.

The Register · Security · 14d agoExploit / PoC in the wildCVE-2026-83548CVE-2026-83549CVE-2026-15409

7th September – Threat Intelligence Report

Check Point weekly bulletin: exploited SonicWall SMA 1000 zero-days (CVE-2026-83548/49), JFrog Artifactory auth bypass, and a 2.8M-patient Baylor Genetics breach.

Check Point's weekly bulletin covers breaches including Thomson Reuters' C-Track platform (court records across 11 US states and Canada), Baylor Genetics (2.8M patients and employees, SSNs included), Hit casinos in Slovenia, and Dropbox (~5,000 accounts via abused Lenovo email verification). SonicWall patched two exploited SMA 1000 zero-days, including CVE-2026-83548, a CVSS 10.0 pre-authentication SSRF, while JFrog fixed exploited authentication bypass CVE-2026-82329 (CVSS 9.8). Malware and actor coverage includes Gambling Goblin, JSCeal, Mirage Kitten's NodeRabbit/PollCat campaign, and DPRK Contagious Interview macOS activity, plus a FalconFlank privilege-escalation PoC against CrowdStrike Falcon.

Check Point Research · 9d agoAdvisory in the wildCVE-2026-83548CVE-2026-83549CVE-2026-823291

CISA Adds Seven Exploited Flaws as Attackers Deploy Reverse Shells and Crypto Miners

CISA added seven actively exploited vulnerabilities to its KEV catalog, including SonicWall SMA 1000 SSRF CVE-2026-83548, amid campaigns deploying reverse shells and crypto miners.

CISA's KEV additions cover flaws in SonicWall SMA 1000 (CVE-2026-83548, CVE-2026-83549), Sangoma Switchvox (CVE-2026-9586), JFrog Artifactory (CVE-2026-82329), Kludex Starlette (CVE-2026-48710), Kestra OSS (CVE-2026-49869) and Berri LiteLLM's MCP endpoint (CVE-2026-59822). SonicWall confirmed active exploitation of the SMA 1000 flaws, while Microsoft and Wiz reported attackers chaining LiteLLM flaws CVE-2026-42271 and CVE-2026-48710 to fingerprint hosts, steal provider API keys and deploy XMRig miners on AI infrastructure. Wiz linked exploitation of the LiteLLM chain to the Qilin ransomware group, and Microsoft detailed a Kestra compromise chain ending in cryptocurrency mining and data harvesting via exposed RAGFlow flaws.

The Hacker News · 13d agoExploit / PoC in the wildCVE-2026-83548CVE-2026-83549CVE-2026-9586+10 CVEs1

ZDI-26-653: TrendAI Apex One Security Agent Cache Mechanism Time-Of-Check Time-Of-Use Local Privilege Escalation Vulnerability

ZDI-26-653: TOCTOU race in Trend Micro Apex One cache mechanism, CVE-2025-71415, enables local privilege escalation, rated CVSS 7.8.

The Zero Day Initiative published advisory ZDI-26-653 for the Trend Micro Apex One Security Agent. A time-of-check time-of-use (TOCTOU) flaw in the cache mechanism, tracked as CVE-2025-71415, allows local attackers to escalate privileges after gaining low-privileged code execution. ZDI assigned a CVSS 7.8 rating. A vendor patch is available for affected installations.

ZDI Published Advisories · 6d agoAdvisory 3 sourcesCVE-2025-71415

CISA Warns of SonicWall SMA1000 Vulnerabilities Active Exploitation (CVE-2026-83548 & CVE-2026-83549)

CISA added two actively exploited SonicWall SMA1000 flaws to KEV: pre-auth SSRF CVE-2026-83548 (CVSS 10) and post-auth RCE CVE-2026-83549; patch by September 5.

CISA added CVE-2026-83548 and CVE-2026-83549 to the Known Exploited Vulnerabilities Catalog with a September 5, 2026 patch deadline. CVE-2026-83548 is a critical (CVSS 10.0) pre-authentication SSRF in the SMA1000 Appliance Work Place interface; CVE-2026-83549 is a high (CVSS 7.8) post-authentication OS command injection leading to RCE in the Appliance Management Console. SMA1000 models 6210, 7210, and 8200v running 12.4.3-03453 or 12.5.0-02835 platform-hotfix and older are affected; fixes ship in 12.4.3-03526 and 12.5.0-02952. Qualys customers can detect vulnerable assets via QID 388624.

Qualys ThreatPROTECT · 13d agoExploit / PoC in the wildCVE-2026-83548CVE-2026-83549

The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100

The 2026 PNPL competition releases LibriBrain100, a MEG speech dataset with 32 extra subjects, targeting word classification and cross-subject BCI generalization.

The 2025 PNPL competition on non-invasive speech decoding from MEG achieved F1-macro scores of 95.6% for speech detection and 73.6% for phoneme classification, built on LibriBrain's ~50 hours of single-subject data. The 2026 edition extends this with LibriBrain100, adding 32 subjects (~40 minutes each) plus ~80 hours of within-subject data. Two tracks target within-subject word classification at scale and cross-subject generalization with subject-specific fine-tuning shrinking from ~40 to ~20 to ~10 minutes, aiming at clinically feasible non-invasive BCIs for people with profound paralysis.

Hugging Face daily papers · 14d agoAI research

Security Affairs newsletter Round 594 by Pierluigi Paganini – INTERNATIONAL EDITION

Weekly Security Affairs newsletter aggregates top stories including Cisco FMC exploitation, Qilin ransomware, Chrome zero-days, and Berlin leak.

Pierluigi Paganini's Security Affairs newsletter Round 594 (International Edition) rounds up the week's security headlines. Topics include attackers exploiting a critical Cisco FMC flaw to deploy Qilin ransomware, SonicWall mass exploitation linked to a UK council attack, multiple CISA KEV additions, Chrome zero-days used by four nation-state actors, a $320 million Liquid Network theft, and a Berlin ransomware data leak. It also covers AI security items such as agent sandbox failures and distillation campaigns by Chinese AI firms.

Security Affairs · 3d agoIndustry in the wildCVE-2026-42016CVE-2026-42018CVE-2026-82329+1 CVEs1

Superhuman acquires YC-backed notetaker Fathom as productivity platforms push for agentic work

Superhuman acquires AI notetaker Fathom to add meeting context and agentic workflows to its 40-million-user productivity platform.

Superhuman is acquiring Y Combinator-backed AI notetaker Fathom, which raised over $30 million and was valued at $94 million in 2024. Fathom reports 400,000+ monthly active users and over 1 million people have recorded meetings with it. The deal adds notetaking to Superhuman's suite (email, docs, calendar, database, AI agent builder) to enable proactive AI agents driven by meeting context, competing with Granola, Read AI, and Wispr.

TechCrunch · AI · 2d agoAI industry

UK Council Attack Linked to Mass Exploitation of SonicWall Flaw

Hunt.io links a UK council attack to mass exploitation of SonicWall SMA1000 flaw CVE-2026-15409 (CVSS 10.0), enabling credential and Active Directory theft.

Hunt.io links, with moderate confidence, the July 17, 2026 attack on the Borough Council of King's Lynn and West Norfolk to mass exploitation of SonicWall SMA1000 appliances via CVE-2026-15409, an unauthenticated SSRF in the WorkPlace portal WebSocket proxy with CVSS 10.0. The operator adapted Rapid7's July 15 PoC into a 50-thread mass scanner within days and stole LDAP credentials for 534 Active Directory accounts across 160 domains, with nine environments losing SAM/LSA secrets and five losing full AD databases via DCSync. CISA added the flaw to its Known Exploited Vulnerabilities catalog and noted use in ransomware campaigns; targeting of ~200,000 Shodan-derived SonicWall addresses spanned government, healthcare, finance, universities, and manufacturing worldwide.

Security Affairs · 5d agoExploit / PoC in the wildCVE-2026-154091

GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation

GE-Act 2.0 is a from-scratch pretrained world-action model for robotic manipulation, with success rising from 17.1% to 44.1% as co-training data scales to 30,000 hours.

Genie Envisioner Act 2.0 (GE-Act 2.0) is a world-action model whose generative and action components are all initialized from scratch on manipulation data, combining a control-oriented autoencoder (CoAE), single-step visual planner (SVP), and inverse dynamics model (IDM) trained jointly via knowledge-aligned selective optimization (KASO). Scaling co-training data from 300 to 30,000 hours raises zero-shot success from 17.1% to 44.1% on G1-OP and 13.4% to 31.1% on G2-90D, despite the latter comprising under 2% of data, suggesting cross-embodiment transfer. Gains span 19/20 and 18/20 skill groups, and skill-specific coverage correlates with zero-shot OOD success (Pearson r=0.80).

Hugging Face daily papers · 13d agoAI research

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 · 10d agoModel release

Critical SonicWall SMA1000 Vulnerabilities CVE-2026-83548, CVE-2026-83549 Exploited in the Wild

SonicWall SMA1000 appliances face active exploitation of chained CVE-2026-83548 and CVE-2026-83549 enabling unauthenticated RCE; hotfixes released.

SonicWall disclosed on September 1, 2026 that CVE-2026-83548, a critical pre-authentication SSRF in the SMA1000 Appliance Work Place interface (CVSS 10.0), and CVE-2026-83549, an authenticated OS command injection in the Appliance Management Console, can be chained for unauthenticated remote code execution. Both vulnerabilities are confirmed exploited in the wild and were added to CISA's Known Exploited Vulnerabilities catalog. Affected SMA1000 models 6210, 7210 and 8200v on versions 12.4.3-03453 and 12.5.0-02835 platform-hotfix or earlier require upgrades to 12.4.3-03526 or 12.5.0-02952 platform-hotfixes.

Rapid7 Blog · 14d agoExploit / PoC in the wildCVE-2026-83548CVE-2026-83549

Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization

SG-JEPA world model conditions latent prediction on physical parameters, halving open-loop prediction error versus DINO-WM and boosting robotic control success.

SG-JEPA extends the LeWorldModel JEPA framework by supplying the governing physics parameter to the temporal model via action-conditioning and jointly training an encoder and predictor through autoregressive latent rollout. On out-of-distribution gravitational-field tasks it reduces open-loop prediction error by up to 2x versus DINO-WM on 2D datasets and increases 3D robotic control success rate up to 2.5x using independently trained diffusion policies. A linear feature analysis attributes most of the gain to the encoder learning features that the predictor can carry forward through rollout.

arXiv cs.AI / cs.LG / cs.CL · 7d agoAI research

Training a 3.8B LLM to 0.384 CORE for $998 – Hugo Vergnes

Independent developer Hugo Vergnes trained a 3.8B-parameter Llama-style model to 0.384 CORE on 65B tokens for $998 in 43 hours on rented B200s.

Hugo Vergnes trained little-lm, a 3.848B-parameter decoder-only LLM, on 65.3B tokens in 43 hours for $998 using rented NVIDIA B200s, scoring 0.384 on the CORE benchmark and beating nanochat d32 (0.310) at similar cost. The Llama-style architecture uses RMSNorm, RoPE, GQA with 24 query and 8 KV heads, relu-squared MLPs, QK-norm, and ResFormer-style value embeddings that account for 19% of parameters. Key wins included the Muon optimizer for matrix parameters, a trapezoidal learning-rate schedule with linear cooldown, FP8 training plus vocabulary padding for roughly 33% throughput gains, and the ClimMix dataset over FineWeb-Edu. The project, inspired by Karpathy's nanochat, was built as a config-driven YAML framework for small LLM training.

Hacker News · security · 7d agoAI researchHN 28↑ · 2 comments1

When the prompt becomes the payload: A practical pen-testing guide for GenAI, LLM and RAG applications

CSO Online publishes a practical penetration-testing guide for GenAI, LLM, and RAG applications, covering prompt injection, retrieval poisoning, and tenant isolation testing.

The guide frames LLM applications as attack graphs spanning prompts, retrieval layers, vector stores, tools, identities, and downstream APIs, arguing that conventional web testing misses instruction-vs-data channel risks. It builds on OWASP prompt injection guidance (direct vs. indirect injection) and NIST's 2025 adversarial machine-learning taxonomy, noting that RAG and fine-tuning do not remove injection risk. Recommended practices include documenting trust transitions across components, using canaries and synthetic records to avoid test side effects, running multi-turn and obfuscated injection campaigns, and verifying chains from poisoned documents to observable state changes. It also details testing RAG pipelines via controlled document poisoning across metadata, OCR layers, and code comments, plus cross-tenant isolation checks on retrieved document IDs.

CSO Online · 7d agoAI safety & security1

Xiiaozet LK100W

CISA warns of three flaws, including OS command injection, in Xiiaozet LK100W devices before firmware 2.1.240 that allow attackers to take full control of the device.

CISA published ICS advisory ICSA-26-239-01 covering three vulnerabilities (CVE-2026-78037, CVE-2026-78239, CVE-2026-76943) in Xiiaozet LK100W devices running firmware below 2.1.240. The issues include OS command injection, missing authentication for critical functions, and authentication bypass via an alternate path, rated CVSS v3 9.8. Successful exploitation allows an attacker to take control of the device. The China-based vendor's equipment is deployed worldwide, including information technology critical infrastructure sectors.

CISA Advisories · 20d agoAdvisoryCVE-2026-78037CVE-2026-78239CVE-2026-76943

IFM Releases K2 Horizon: Six Apache 2.0 Models From 0.9B to 375B

MBZUAI's IFM released K2 Horizon, six Apache 2.0 models (0.9B-375B) with open training data, code, and checkpoints, claiming the largest fully open-source launch.

The Institute of Foundation Models (IFM), launched by MBZUAI, released K2 Horizon: six Apache 2.0 models (0.9B, 3.7B, 7B, 32B, 36B-A4B, 375B-A23B) shipping with the ~20-trillion-token pretraining corpus, intermediate checkpoints, training code, and logs, which IFM calls the largest fully open-source launch in AI history. The 375B-A23B scores 70.2 on Terminal-Bench 2.1 and 87.3 on GPQA Diamond; the 7B model posts 70.6 on SWE-bench Verified. New techniques include MoVA, which extends MoE routing into attention (36B total, ~4B active), and Uno, a LoRA adapter giving roughly 3x lossless decoding speedup. IFM's own reward-hacking audit re-scored 375B-A23B from 70.2% to 66.9% after flagging 24 of 712 Terminal-Bench trials.

MarkTechPost · 9d agoModel release1

Veeam Released Patches for Critical Vulnerability (CVE-2026-65641)

Veeam patched critical CVE-2026-65641 (CVSS 9.3) in Veeam ONE, exploitable by unauthenticated network attackers to coerce SMB authentication from the service account.

Veeam released patches for its Veeam ONE monitoring, reporting, and capacity planning software addressing CVE-2026-65641, rated critical with a CVSS score of 9.3. Successful exploitation allows an unauthenticated network attacker to coerce SMB authentication from the Veeam ONE service account, creating relay-style attack opportunities. Qualys ThreatPROTECT relayed the vendor advisory; administrators should apply the patches promptly. No in-the-wild exploitation is noted in the advisory.

Qualys ThreatPROTECT · 16d agoVulnerabilityCVE-2026-65641

Retrofitting Code Using LLMs to Support Exceptional Behavior

EXCODER combines static/dynamic analysis with LLMs to retrofit exception-handling code, achieving 85.92% pass@1 with Qwen 2.5 Coder 32B on Java benchmarks.

The paper introduces the task of retrofitting existing code with Exception Related Code (throw statements, guarding conditions, try/catch blocks) so that given Exceptional Behavior Tests pass. EXCODER performs context engineering by integrating static and dynamic program analysis output with LLMs; it was evaluated on a benchmark built from 304 methods across 75 GitHub Java projects. Combined with Qwen 2.5 Coder 32B, EXCODER achieves pass@1, 5, and 10 rates of 85.92%, 86.18%, and 86.51%, roughly 13 percentage points over baseline, and manual inspection reveals remaining limitations.

arXiv cs.AI / cs.LG / cs.CL · 7d agoAI research1

OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device

OpenBMB released MiniCPM5-2B, a 2.52B-parameter Apache 2.0 on-device model averaging 53.9 across 34 benchmarks, ahead of Qwen3.5-4B.

OpenBMB released MiniCPM5-2B, a 2,516,756,480-parameter dense LlamaForCausalLM model with grouped-query attention and a 131,072-token context, under Apache 2.0, runnable via vLLM, SGLang, llama.cpp, and Ollama. It averages 53.9 across 34 benchmarks versus 51.1 for Qwen3.5-4B, with strong tool-use (97.1 on tau2-Bench Telecom) and code results (69.1 LiveCodeBench v6, 46.4 SWE-bench Verified). Training combined 400B tokens of deep-thinking SFT, critic-based JustRL II RL teachers, and on-policy distillation merging 16 RL experts; datasets and intermediate checkpoints were published alongside the weights.

MarkTechPost · 9d agoModel release

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

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