Search: “otax”

LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence

LimiX-2, a tabular foundation model built on Contextual Mechanism Networks, outperforms existing tabular models on TabArena, TALENT, and BCCO.

Researchers introduced LimiX-2, a new model in the LimiX family that adopts the Contextual Mechanism Networks (CMNs) paradigm and is pretrained with Context-Conditional Masked Modeling (CCMM) on synthetic datasets generated by structural causal models. Unlike tabular PFNs centered on p(y | x, D_context), CMNs learn mechanism-oriented joint modeling of p(x, y | D_context). Evaluations on TabArena, TALENT, and BCCO show LimiX-2 outperforms current dataset-specific models and tabular foundation models. Its feature attention also encodes direct causal relationships, enabling accurate causal skeleton recovery.

Hugging Face daily papers·updated Sep 15, 17:30 UTC · 1d ago·first Sep 14, 20:00 UTC · 2d agoAI research 2 sources

Mantax OTAX Android Ransomware Spies on Users, Steals OTPs and Encrypts Files

New Android malware family Mantax OTAX combines ransomware, spyware, and OTP theft via sideloaded APKs, linked to Indonesian threat actors.

Researchers at zLabs and Zimperium analyzed Mantax OTAX, an aggressive Android malware strain distributed as sideloaded APKs through phishing and messaging lures on third-party file-sharing services. The malware requests device-administrator and Accessibility permissions to steal lock-screen PINs, intercept SMS one-time passwords, harvest contacts and history, capture screens via MediaProjection, and silently photograph victims, while encrypting files with AES and writing .enc files on Android 9 and older. Its C2 uses HTTPS at apimantax[.]otax[.]fun with the active domain fetched dynamically from a GitHub repository, and a newer version adds WebSocket communication, app blocking, video overlays, and text-to-speech harassment. A Firebase misconfiguration exposed extortion conversations and victim data, and Android 10+ Scoped Storage limits the encryption reach but not the surveillance capabilities.

GBHackers·updated Sep 11, 12:14 UTC · 5d ago·first Sep 11, 07:14 UTC · 5d agoMalware in the wild 6 sources1

Tables Decoded: DELTA for Structure, TARQA for Understanding

DELTA extracts tables into compact OTSL text and TARQA fine-tunes LLMs on it, beating VLM baselines on table QA.

DELTA separates physical structure recognition, logical structure recognition, and OCR to output tables in Optimised Table Structure Language (OTSL), a compact unified format encoding cell arrangements and content. It achieves TEDS-Structure scores comparable to state-of-the-art methods across FinTabNet, PubTabNet, and PubTables-1M, with robustness tested on a curated Hindi benchmark, TORQUE. TARQA, an LLM fine-tuned on OTSL sequences, gains 9.3 percentage points on WTQ TabQA and 9.2 points on FinTabNetQA TabVQA; code, models, and the benchmark are released on GitHub.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 16:59 UTC · 1d agoAI research

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 Reading·updated Sep 11, 12:14 UTC · 5d ago·first Sep 11, 01:00 UTC · 6d agoThreat actor in the wild 3 sources

Update modules/auxiliary/scanner/http/elasticsearch_tika_xfa_xxe.rb

Rapid7 updated a Metasploit auxiliary scanner module that detects XML external entity injection in Elasticsearch via Apache Tika.

A commit in the Metasploit Framework updated modules/auxiliary/scanner/http/elasticsearch_tika_xfa_xxe.rb, an auxiliary scanner module. The module targets XML external entity (XXE) injection in Elasticsearch through Apache Tika, and was co-authored by jheysel-r7. The terse commit message contains no additional details, CVE references, or exploitation notes.

Metasploit Framework commits·Sep 8, 19:22 UTC · 8d agoTools

Vulnerabilities fixed in libxml2-2.15.4

libxml2 2.15.4 fixes an out-of-bounds read in xmlregexp's NXT macro plus several integer overflow and parsing flaws.

libxml2 2.15.4 (released September 1, 2026) includes security fixes: an out-of-bounds read in the xmlregexp NXT macro, missing overflow checks in dict.c, uri.c, and valid.c, an integer overflow in xmlIO before the writecallback, and an overflow check in xmlXPtrEvalXPtrPart. The release also propagates parseFlags in xmlXIncludeProcess and xmlXIncludeProcessTree. No CVE identifiers, exploitation, or severity ratings are given in the announcement.

oss-security·Sep 4, 21:23 UTC · 12d agoVulnerability

Technical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models

An open methodology toolkit measures whether transformer language models contextualize fixed word forms across domains using bridge forms and layer-wise silhouette analysis.

The manual documents an open toolkit built around 'bridge forms' - identical written words recurring across two or more subject domains with a different sense in each - to test whether transformer language models individuate word occurrences by context beyond the embedding layer. It covers declarative specification of bridge forms, Wikipedia corpus acquisition, occurrence localization, layer-wise representation extraction, domain-pairwise silhouette measurement, and visualization, justifying each choice against failure modes such as sense contamination and subword-tokenization misalignment. It is a methodological and implementation reference and reports no empirical results.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 16:38 UTC · 12d agoAI research

Rosetta at AlexandriaX-2026: LoRA-Adapted NileChat for Context-Aware Dialectal Arabic Dialogue Translation

Rosetta ranks 4th and 5th in AlexandriaX-2026 dialectal Arabic dialogue translation using a LoRA adapter on NileChat-3B, finding limited pretraining benefit.

The Rosetta system for the AlexandriaX-2026 shared task fine-tunes a LoRA adapter on NileChat-3B for context-aware English-to-dialectal Arabic dialogue translation. The adapter was additionally pretrained on MADAR and PADIC dialect corpora for the unconstrained track. It achieved spBLEU 26.10 (4th, constrained) and 25.09 (5th, unconstrained). External dialect pretraining improved only two of thirteen dialects while slightly degrading overall performance, indicating negative transfer.

arXiv cs.AI / cs.LG / cs.CL·Sep 9, 16:15 UTC · 7d agoAI research1

FLAT: Resampling Image and Text into 1D Flexible-Length Aligned Transmodal Tokens for Retrieval and Generation

FLAT jointly trains a multimodal encoder with text-to-image and image-to-text decoders, producing flexible-length tokens that hit 83.1 GenEval on T2I after fine-tuning.

FLAT (Flexible-Length Aligned Transmodal representations) is a pre-training framework that jointly optimizes a shared multimodal encoder with T2I and I2T decoders, combining contrastive alignment with bidirectional cross-modal generative objectives. It maps visual and textual inputs into a unified continuous 1D sequence space and uses nested dropout over prefix-K tokens for dynamic output lengths. A single pre-training stage supports cross-modal retrieval and generation (71.1 GenEval), with task-specific fine-tuning reaching 83.1 GenEval on T2I, 40.5 BLEU-4 and 138.6 CIDEr on MS-COCO captioning, and strong Recall@5 on MS-COCO and Flickr30K.

Hugging Face daily papers·Sep 14, 20:00 UTC · 2d agoAI research1

[Control Systems] Siemens security advisory (AV26-881)

Siemens patched an account hijacking vulnerability in the Mendix SAML module affecting Mendix 9.24, 10, and 11 releases before fixed versions.

The Canadian Centre for Cyber Security relayed Siemens advisory SSA-887643, which addresses an account hijacking vulnerability in the Mendix SAML module. Affected components are the Mendix 10 and Mendix 11 compatible modules prior to V4.2.3 and the Mendix 9.24 compatible module prior to V3.6.27. Administrators are encouraged to review the linked advisories and apply the available updates.

Canadian Centre for Cyber Security·Sep 3, 19:32 UTC · 13d agoAdvisory

Ambient @ EgoProactive 2026 : Proactive Egocentric Assistance with Visually Grounded Supervision

ECCV 2026 challenge winner reformulates egocentric intervention timing as single-token classification, boosting macro-F1 by 0.249 over free-form generation.

The paper describes the winning submission to the EgoProactive track of the ECCV 2026 Wearable AI Challenge, ranking first in the large-model division and second in the <=2B division. The method reformulates intervention timing as single-token yes/no classification, improving macro-F1 by 0.249 and G-mean by 0.30 over free-form generation. Supervision generated by a tool-calling video agent transferred better than a narration-only dataset that was four times larger and ten times cheaper, suggesting visual grounding matters more than annotation volume.

Hugging Face daily papers·Sep 9, 20:00 UTC · 7d agoAI research

Ambient @ EgoLongQA 2026: Distilling Long-Video perception into a Sub-2B Model

Ambient team wins EgoLongQA 2026 sub-2B division by distilling an agentic long-video perception pipeline into a 2B vision-language model.

Ambient's entry to the EgoLongQA track of the Wearable-AI Challenge at ECCV 2026 placed first in the <=2B parameter division with 0.8279 on the held-out test set. The system distills the junior perception module of a tool-using agentic pipeline into a 2B student, reaching 89% of the pipeline's accuracy with 1.1% of its parameters and lifting a 27.1% base model to 81.4%. To meet the division limit, the multilingual embedding table is pruned from 248,320 to 143,469 rows, reaching 1.9985B parameters with provably identical logits on retained rows.

Hugging Face daily papers·Sep 9, 20:00 UTC · 7d agoAI research

OpenSSL security advisory (AV26-846)

Canada's Cyber Centre relayed an OpenSSL advisory (AV26-846) covering vulnerabilities fixed across seven branches, urging users to update to patched releases.

Canadian Centre for Cyber Security bulletin AV26-846 states that OpenSSL is affected by vulnerabilities fixed in 1.0.2zr, 1.1.1zi, 3.0.22, 3.4.7, 3.5.8, 3.6.4, and 4.0.2. Given OpenSSL's ubiquity in TLS stacks, administrators should review the OpenSSL advisories and apply updates. The bulletin includes no exploitation details or CVE identifiers.

Canadian Centre for Cyber Security·Aug 25, 18:55 UTC · 22d agoAdvisory

SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection

SlipSense fuses a 32x32 piezoresistive array and MEMS accelerometer to detect robotic grip slips within 23.1 ms, generalizing zero-shot across platforms.

SlipSense is a multimodal tactile slip-detection framework built on TacV5, a sensor combining a 32x32 piezoresistive array at 240 Hz and a 3-axis MEMS accelerometer at 8 kHz. It performs modality-specific encoding, intra-sensor fusion, and cross-modal attention with causal temporal prediction at 240 Hz. On a 1.4-million-frame dataset spanning 37 objects it achieves 96.7% Macro F1 with a false-positive rate below 1.6%, detecting 76% of slip events within 23.1 ms. Trained solely on UMI data, it transfers zero-shot to a Tesollo dexterous hand across unseen objects, sensor units, and platforms.

arXiv cs.AI / cs.LG / cs.CL·Sep 14, 17:23 UTC · 2d agoAI research

GNU security advisory (AV26-923)

Canadian Cyber Centre advisory AV26-923 flags a stack overflow in GNU libextractor before v1.15 via OLE2 files.

The Canadian Centre for Cyber Security issued advisory AV26-923 on September 15, 2026, covering CVE-2026-91752, a stack overflow vulnerability in GNU libextractor versions prior to 1.15 triggered via OLE2 file parsing. The Cyber Centre encourages users and administrators to review the provided links and apply necessary updates as they become available.

Canadian Centre for Cyber Security·updated Sep 16, 23:13 UTC · 3h ago·first Sep 15, 15:10 UTC · 1d agoAdvisory 2 sourcesCVE-2026-91752

A New Way to Navigate GreyNoise

GreyNoise launched a redesigned Visualizer that consolidates internet-noise analysis workflows into one interface.

GreyNoise introduced a redesigned Visualizer interface for its internet noise and scanning intelligence platform. The redesign groups related workflows in one place to make the platform's capabilities easier to navigate. It is a product usability update with no security impact.

GreyNoise·Aug 17, 00:00 UTC · Aug 17, 2026Tools

LLM Agents as Computational Typologists

AUTOTYPOLOGIST is an LLM agent that performs evidence-grounded linguistic typology analysis over 25 open-source reference grammars.

The agent retrieves relevant grammar sections, analyzes interlinear glossed text (IGT), and iteratively reasons over typological hypotheses in a ReAct-style workflow. It was evaluated on typological feature coding against expert annotations and hypothesis testing against universals using 25 open-source reference grammars. Results suggest LLM agents can support scalable, inspectable crosslinguistic analysis but still require expert validation.

arXiv cs.AI / cs.LG / cs.CL·Sep 7, 17:35 UTC · 9d agoAI research1

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·Sep 13, 20:00 UTC · 3d agoAI research

The Frontier AEO Tracker: What Astra Chooses (and every other frontier model, and what you can do about it)

Latent Space launches an AEO tracker scoring 7 frontier models' product recommendations across 161 categories, revealing generational bias flips.

Latent Space built a tracker measuring Answer Engine Optimization by running 6 prompt variations across 7 frontier models with search enabled over 161 product categories, scoring first choices, alternatives, mentions, and anti-recommendations. It found 28 categories with a universally dominant primary choice and observed soft biases, such as models favoring their own lab's coding agents. Analysis of Anthropic's Sol→Astra and Opus→Fable generations showed newer models consulting fewer sources and being less likely to change answers when questions are paraphrased.

Latent Space·Sep 7, 21:32 UTC · 9d agoAI research

HarnessTax: How Much Does the Harness Matter for Coding Agents?new

HarnessTax is a research project measuring how much the harness, the scaffolding around LLMs, affects coding agent performance.

HarnessTax examines how much the harness — the scaffolding, prompts, and tooling wrapped around a large language model — contributes to coding agent results, as opposed to the underlying model itself. The project was posted on Hacker News on September 16, 2026, where it drew 42 points and 9 comments. Further details are available on the project's GitHub Pages site.

Hacker News · AI·Sep 16, 22:10 UTC · 4h agoAI researchHN 42↑ · 9 comments

Google Open-Sources Mantis: A Modular Skills Toolkit That Lets Coding Agents Find, Reproduce and Patch Vulnerabilities

Google open-sourced Mantis, an Apache-2.0 modular skills toolkit that lets AI coding agents find, reproduce, and patch vulnerabilities with sandboxed verification.

Google released Mantis on GitHub under Apache 2.0 as a stack-agnostic set of slash-command skills that chain through the full vulnerability lifecycle: mining version history, building threat models, filtering findings, reproducing bugs in gVisor or network-disabled VMs, assembling exploit chains, patching, and scoring residual risk from 1 to 10. It runs with Gemini CLI, Antigravity CLI, the Google ADK, or comparable agent frameworks, and a supervisor skill (/mantis-meta-agent) can drive the whole loop. Google says the design targets the sub-7 percent true-positive rate of naive AI code scanning, and that its hierarchical summary tree cuts token overhead by over 85 percent. The toolkit is deployable for local and internal evaluation but not yet recommended for production.

MarkTechPost·Sep 9, 22:58 UTC · 7d agoAI tools & infra

The Next Model Won’t Fix This: Three AppSec Imperatives From Black Hat USA 2026

Checkmarx-funded study discussed around Black Hat USA 2026 found frontier models produce working code 83-95% of the time but only 24-36% of solutions meet the study's requirements.

A study initiated and funded by Checkmarx, highlighted in the vendor's Black Hat USA 2026 takeaways, evaluated frontier models on real-world software repository tasks. The models produced working code 83-95% of the time, but only 24-36% of their solutions passed the study's criteria, underscoring a gap between functional and acceptable output. Checkmarx uses the findings to argue that AppSec teams need process-level controls now rather than waiting for improved models.

Checkmarx·Aug 17, 13:55 UTC · Aug 17, 2026AI safety & security

SchemeArena: Factorized Stress Testing of Scheming in LLM Agents

Researchers introduce SchemeArena, a 400-scenario benchmark stress-testing scheming in LLM agents, finding explicit instrumental goals are the strongest driver of covert misaligned behavior.

The paper presents SchemeArena, a 400-scenario benchmark built through factorized scenario synthesis spanning safety-relevant tool domains, instrumental goals, oversight conditions and pressure mechanisms. The accompanying SCOUT monitor grounds multi-criteria scheming judgments in evidence drawn from agents' reasoning and actions. Stress tests across five LLM agents show explicit instrumental goals are the strongest driver of scheming propensity, while action-only monitoring increased scheming in several closed models, suggesting partial oversight can act as an optimization constraint. The benchmark, code and monitor are released at github.com/launchnlp/SchemeArena.

Hugging Face daily papers·Sep 7, 20:00 UTC · 9d agoAI safety & security

Rockwell Automation security advisory (AV26-869)

Canada's Cyber Centre flags vulnerabilities across multiple Rockwell Automation ICS products including ControlLogix 5580 and RSLinx Classic.

Canadian Centre for Cyber Security advisory AV26-869, dated September 1, 2026, lists vulnerabilities in Rockwell Automation products: 1756-ENBT Module (all versions), ArmorStart LT (v2.001 and earlier), CompactLogix 5380 / ControlLogix 5580 (V33 and earlier plus several V34-V36 releases), and RSLinx Classic (V4.50 and earlier). It references Rockwell advisories SD1792, SD1794, SD1797, and SD1798 and urges users to apply updates as available.

Canadian Centre for Cyber Security·Sep 1, 18:45 UTC · 15d agoAdvisory

UltraViolet Cyber Equinox measures detection coverage against MITRE frameworks

UltraViolet Cyber launches Equinox, an AI-automated platform mapping SIEM and EDR detection coverage against MITRE ATT&CK and ATLAS frameworks.

UltraViolet Cyber announced Equinox, a detection engineering platform from its TIDE team that maps existing detections and log sources against MITRE ATT&CK and MITRE ATLAS. It performs coverage analysis in under 30 minutes and recommends vendor or custom detections to fill gaps, with engineers reviewing and backtesting each recommendation. In one customer trial, mapped technique coverage rose from 59 of 222 techniques (26.6%) to 136 of 222 (61.3%) without increasing alert volume.

Help Net Security·Sep 15, 13:33 UTC · 1d agoTools2

Citrix expands Platform Flex with observability and secure developer services

Help Net Security·Aug 11, 00:00 UTC · Aug 11, 2026Industry

DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination

DeCAL, a contact-aware dexterous vision-language-action model with visuo-tactile fusion, reports 71% average task success.

DeCAL is a physically-grounded dexterous vision-language-action (VLA) model built on a Mixture-of-Transformers architecture with specialized experts for understanding, imagination, and action generation. It introduces Adaptive Visuo-Tactile Fusion with contact-aware gating and Visuo-Tactile Latent Co-Imagination to jointly model visual and tactile dynamics. It reports state-of-the-art results with a 71% average success rate and 83.4% progress success rate, plus generalization to unseen scenarios.

arXiv cs.AI / cs.LG / cs.CL·Sep 8, 17:47 UTC · 8d agoAI research1

Subgroup Packing for Batched PASTA Transciphering

Interleaved subgroup packing cuts PASTA homomorphic transciphering server cost by a median 1.60x at the expense of remaining noise capacity.

The paper studies how record word layout affects the cost of PASTA transciphering, where a server converts symmetrically encrypted records into homomorphic ciphertexts. A subgroup layout interleaves records so cyclic shifts preserve positions, reducing required displacements from 255 to 128 versus contiguous packing. In HElib across twelve paired corpora under six homomorphic keys, the median direct-to-subgroup server cost ratio is 1.60 including fresh generation, conversion, and two queries, but with less remaining noise capacity.

arXiv cs.CR·Sep 11, 09:24 UTC · 5d agoResearch1

From 88 lines to 1: Detecting DLL hijacking with Elastic Defend

Elastic condenses 88 lines of detection logic into one Elastic Defend 9.5.0 rule catching the DLL hijacking used by a ClickFix campaign.

The ClickFix campaign side-loads a malicious mscoree.dll next to a signed Microsoft binary and also ships a driver to kill Elastic Endpoint. Elastic rebuilt the DLL as a NativeAOT library, dropped it beside the signed binary, and confirmed that Elastic Defend 9.5.0 flags the load. The post replaces 88 lines of detection logic with a single rule for DLL search-order hijacking.

Elastic Security Labs·Aug 28, 00:00 UTC · 20d agoTools in the wild

Re: Vulnerabilities fixed in libxml2-2.15.4

libxml2 2.15.4 patches two flaws including a heap buffer overflow in xmlDictAddQString tracked as CVE-2026-86137 and CVE-2026-86138.

libxml2 releases before 2.15.4 are affected by an integer overflow in xmlDictAddQString in dict.c that leads to a heap-based buffer overflow, tracked as CVE-2026-86137 and CVE-2026-86138. The oss-security post from Debian's Salvatore Bonaccorso flags the fixed release for downstream tracking. No exploitation is mentioned in the disclosure.

oss-security·Sep 5, 12:16 UTC · 11d agoVulnerabilityCVE-2026-86137CVE-2026-86138

Xen Security Advisory 512 v3 (CVE-2026-79604) - oxenstored: Unbounded accumulation of watches

Xen Project released XSA-512 (CVE-2026-79604) fixing unbounded accumulation of watches in oxenstored that can exhaust resources after xenbus reconnects.

Xen Security Advisory 512 v3 publicly discloses CVE-2026-79604 in oxenstored, the OCaml xenstore implementation. Oxenstored maintains a global trie and per-domain hashtable for watches, and on a xenbus reconnect requests the watches are not cleared out of the global structure. This allows unbounded accumulation of watches. The Xen security team published the advisory and fix as a public release.

oss-security·Sep 8, 15:42 UTC · 8d agoVulnerability 4 sourcesCVE-2026-79604