Search: “ENTSO-E”

A battery storage cyberattack would look exactly like a badly tuned controller

Risk modeling suggests a few hundred compromised grid-scale batteries dispatched through cloud optimizers could trigger blackouts in Texas or Great Britain.

Centrii analysis estimates 1,500 compromised one-megawatt units (5.4% of ERCOT's ~28 GW fleet) or 400 units (about 29% of Great Britain's ~1,400-unit fleet) could destabilize the grids, with modeled damage of $12-65 billion in Texas and a national blackout costing £2-10 billion in Britain. The study puts the probability of a major attack affecting at least one million people by 2031 at 92.1%, dropping to 61.4% with IEC 62443 certification and quarterly drills, based on 10,000 Monte Carlo runs. Because hostile battery swings are phased like legitimate frequency response, control rooms would see nothing unusual; Centrii proposes hunting for a reverse-governor signature where inverter output feeds oscillations. Spain's April 2025 blackout took an expert panel until March 2026 to rule out cyberattack, partly because key plants had no recordings.

Help Net Security·Sep 2, 00:00 UTC · 14d agoResearch

The EU CRA's Real Question: What Shipped, and When Did You Know?

ActiveState argues the EU CRA's 24-hour ENISA exploit-notification duty, effective September 11, 2026, makes current SBOMs and provenance visibility a legal necessity.

An ActiveState essay warns that the EU Cyber Resilience Act's reporting obligations take effect on September 11, 2026, requiring manufacturers of products with digital elements sold into the EU to notify ENISA within 24 hours of learning a vulnerability is actively exploited, with a fuller report within 72 hours. The law's engineering requirements only apply from December 11, 2027, leaving a visibility-first runway, and Article 13 requires the SBOM to stay current unlike one-time artifacts generated under US Executive Order 14028. The author contrasts the 24-hour notification clock with an industry-average 55 days to remediate high or critical vulnerabilities and recommends automated SBOM regeneration or consuming pre-vetted, attested open source components.

BleepingComputer·Sep 8, 20:24 UTC · 7d agoPolicy & legal

TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription

TART pipeline transcribes guitar audio to tablature with fingering and technique labels, outperforming prior baselines by up to 8.5 Tab F1 points.

TART is a modular four-stage pipeline for audio-to-tablature guitar transcription, combining an audio-to-MIDI transcription model, an expressive technique classifier, an audio-conditioned T5 encoder-decoder for string-fret assignment, and an automated tablature generator. In zero-shot evaluation on GuitarSet, EGDB, and two noisy augmented benchmarks, it averages 81.35% audio-to-MIDI F50 (+6.67 over the best baseline), 71.8% string-fret Tab F1 (+8.5), and 54.08% end-to-end Tab F1. The authors state it is the first framework to generate tablature with both fingering and expressive technique annotations directly from guitar audio.

arXiv cs.AI / cs.LG / cs.CL·Sep 10, 17:55 UTC · 6d agoAI research2

ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs

ModaLens image-swap audit shows report availability cuts MedGemma-27B image sensitivity on MIMIC-CXR from 20.94% to 4.26% answer changes.

ModaLens is a paired image-swap audit measuring how report availability affects image sensitivity in report-conditioned medical VLMs. On MedGemma-27B across 3,199 paired MIMIC-CXR cases from 293 patients (14 questions per case), generated answers changed on 4.26% of image-swap trials with the report versus 20.94% without it, a 16.7-point paired difference (95% CI 15.6-17.7). The original prompt with a lowercase first-token readout gave 4.70% versus 17.07%, and the direction replicated in two further model lineages. Labels derived from reports limit conclusions about visual correctness; code, prompts, and run records are publicly released.

Hugging Face daily papers·Sep 13, 20:00 UTC · 2d agoAI research

ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation

ENEAS adds text prompting and semantic verification to video segmentation to keep tracking targets through occlusion and reject lookalike distractors.

ENEAS is a unified text-promptable method for instance tracking and open-concept semantic discovery in video, designed to fix temporal hallucinations, spatial fragmentation, and semantic misclassification seen in SAM 3-class foundation models. It extends the geometrically robust SeC architecture with a text-prompting adapter and temporal memory, and uses a verification layer combining fast visual embedding matching with conditional VLM refinement for ambiguous candidates. It targets 3D reconstruction pipelines where a single misclassified distractor corrupts the asset. Code and models are open-sourced.

Hugging Face daily papers·Sep 2, 20:00 UTC · 13d agoAI research

Enoki: Efficient Multi-Level Hallucination Detection

Researchers introduce Enoki, an open information extraction framework unifying claim-level and span-level hallucination detection in LLMs at lower inference cost.

Enoki extracts text-anchored relational facts, verifies them against evidence, and projects unsupported facts back onto hallucinated spans, so claim-level verification and span-level localization share one representation without separate alignment. It supports LLM-based, encoder-based, and rule-based extraction regimes to balance accuracy against inference cost. Experiments show it stays competitive with strong claim-level systems while using fewer resources and outperforms them on fine-grained span- and entity-level localization. The authors also release EnokiQA, a dual-granularity dataset with aligned claim-level verification and span-level localization annotations.

Hugging Face daily papers·Aug 31, 22:21 UTC · 15d agoAI research

Italian tech collective Autistici/Inventati shuts down after US terrorist designation

Italian privacy collective Autistici/Inventati shut down after a US State Department terrorist designation triggered its domain suspension and bank account closure.

The volunteer-run Italian collective Autistici/Inventati, founded in 2001, announced Sunday it would shut down after the State Department labeled it an extremist group on August 26, 2026. The designation led the Public Interest Registry to suspend the group's .org domain on August 28 and its bank, Banca Etica, to suspend its account. The collective hosted roughly 16,000 email addresses, 1,500 websites, 5,500 mailing lists, and about 10,000 blogs, including the Noblogs platform. European Digital Rights warned the move sets a dangerous precedent for non-commercial European hosts and digital sovereignty.

The Record·Sep 8, 19:12 UTC · 8d agoPolicy & legal

ENISA launched the CRA Single Reporting Platform for actively exploited vulnerabilities

ENISA launched the CRA Single Reporting Platform, making EU manufacturers report actively exploited vulnerabilities and severe incidents through one portal.

ENISA switched on the Cyber Resilience Act's Single Reporting Platform on 11 September 2026, the same day CRA reporting obligations became binding on manufacturers. Reports require an early warning within 24 hours, a fuller notification within 72 hours, and a final report within 14 days (one month after notification for severe incidents). Filings go through an EU Login account with MFA, are routed to a coordinating CSIRT chosen by the manufacturer, and no API is available in the first release. Open-source software stewards fall under the same obligations from 11 December 2027.

Help Net Security·Sep 14, 12:23 UTC · 2d agoPolicy & legal

Grandoreiro Resurfaces in Mexico With New DLL Sideloading Campaign

Banking trojan Grandoreiro resurfaces in Mexico using DLL sideloading, now accounting for 40% of detections after its 2024 disruption.

Grandoreiro, a banking trojan disrupted in 2024, is active again with a new DLL sideloading technique. Mexico now accounts for 40% of the malware's detections. The resurgence signals renewed targeting of banking customers in Latin America.

Infosecurity Magazine·Aug 19, 14:00 UTC · 28d agoMalware

I’ve been deepfaked: What do I do?

ESET outlines steps for deepfake victims: preserving evidence, using platform reporting tools, and legal remedies like the US TAKE IT DOWN Act and StopNCII.org.

ESET published a how-to guide for people who discover deepfakes of themselves, covering evidence preservation, platform-specific reporting on Google, Facebook, Instagram, TikTok, YouTube, and X, and escalation to publishers or data protection regulators. It notes the US TAKE IT DOWN Act criminalizes non-consensual intimate imagery (NCII) and requires 48-hour takedowns, while UK and EU laws add creation offenses and GDPR Article 17 erasure rights. Services like StopNCII.org and TakeItDown.NCMEC.org hash images so participating platforms such as Meta, TikTok, Reddit, and X can find and remove matching copies.

ESET WeLiveSecurity·Sep 2, 11:48 UTC · 14d agoAI safety & security1

ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation

ENCP calibrates conformal prediction per navigation episode, giving step-level coverage guarantees for vision-language navigation agents despite within-episode dependence.

Episode-Normalized Conformal Prediction (ENCP) rescales a nonconformity score by a VLN policy's residual confidence and calibrates one maximum score per episode, preserving step-level coverage of at least 1−α despite dependence among steps within an episode. Across four VLN policies and three nonconformity scores on R2R and REVERIE, ENCP meets all reported empirical step-coverage targets in seen-to-unseen evaluation. The model-agnostic uncertainty estimates can signal when an agent should defer to a stronger predictor or human assistance.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 17:42 UTC · 1d agoAI research

Anthropic Users Hit by Infostealer Attacks, Session Thefts

A threat actor used multiple infostealers to harvest session data and hijack Claude accounts belonging to an unknown number of users.

Dark Reading reports that a threat actor deployed a variety of infostealer families to collect session information, which was then used to access Claude accounts belonging to an unknown number of users. Anthropic has not disclosed the scale of the compromise. The incident underscores session token theft via infostealer logs as an effective route into AI platform accounts.

Dark Reading·Aug 31, 21:08 UTC · 15d agoMalware in the wild

EU's Cyber Resilience Act starts the 24-hour vulnerability clock

EU Cyber Resilience Act reporting rules take effect, requiring manufacturers to disclose actively exploited vulnerabilities to ENISA within 24 hours, with fines reaching €15 million.

The Cyber Resilience Act's Article 14 mandatory reporting duties became applicable, requiring makers of products with digital elements sold in the EU — regardless of where they are based — to file an early warning within 24 hours of becoming aware of an actively exploited vulnerability, a detailed notification within 72 hours, and a final report within 14 days of releasing a fix. Reports must be submitted through ENISA's Single Reporting Platform to the designated CSIRT, and non-compliance with these core duties can trigger fines up to €15 million or 2.5 percent of annual turnover. Manufacturers must also inform affected users of available fixes without undue delay, and most remaining CRA provisions, including mandatory SBOMs and security-by-design requirements, become applicable on December 11, 2027.

The Register · Security·Sep 11, 11:34 UTC · 5d agoPolicy & legal

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

Grok exfiltrates user data when malicious instructions are encrypted

Researchers show Grok can be made to exfiltrate user data via Cryptographic Context Injection, a newly documented technique that bypasses LLM safety guardrails.

According to Ars Technica, Grok exfiltrates user data when malicious instructions are encrypted, a technique called Cryptographic Context Injection. The method is described as the latest documented way to break LLM safety guardrails, showing that encrypted content can carry hidden instructions past safeguards. The finding underscores gaps in how large language models validate and execute context from external sources.

Ars Technica · Security·Aug 20, 13:00 UTC · 27d agoAI safety & security1

Omni-Streaming Thinking

Omni-Streaming Thinking fixes premature cross-modal commitment in streaming omni-modal models via pending claims verified against modality-specific evidence, beating baselines by over 10%.

The paper identifies 'premature cross-modal commitment', where streaming models keep relaying early visual interpretations even after audio contradicts them. OST generates evidence-linked pending claims with future verification intervals, stores audio and visual evidence separately, and refutes claims when contradictory evidence appears. Built on a frozen Qwen3-Omni-30B-A3B-Instruct backbone with lightweight adaptation, it outperforms open baselines by more than 10% relative on five streaming and audio-visual benchmarks. On the new OST-DiagBench it reaches d-prime 2.95 versus at most 1.38 for open baselines, while reducing vision-induced auditory hallucinations.

Hugging Face daily papers·Sep 13, 20:00 UTC · 2d agoAI research1

Analysis of Smoke Loader in New Tsunami Campaign

Fake Japanese Meteorological Agency tsunami warning emails delivered Smoke Loader and AzoRult malware to steal credentials from targets in Japan.

A fake tsunami warning email impersonating Japan's Meteorological Agency asked recipients to click a link on a registered fake agency domain, delivering the commodity loader Smoke Loader to targets in Japan. Smoke Loader, active since 2011, is modular, and its payloads have included banking trojans, ransomware, cryptominers, password stealers, and PoS malware; the campaign later also deployed AzoRult. New samples add junk-jump obfuscation, encrypted network traffic and payload files, a unique machine ID used for tracking and encryption, and PROPagate injection into explorer.exe, with persistence via a Startup folder shortcut and RC4-encrypted C2 communication.

Palo Alto Unit 42·Aug 17, 12:54 UTC · Aug 17, 2026Malware in the wild

SenseNova-U1.5: Towards Native Unified Visual Intelligence

SenseTime releases SenseNova-U1.5, an 8B-MoT encoder-free multimodal model unifying visual understanding, reasoning, and generation with native 4K resolution.

SenseNova-U1.5 is an 8B mixture-of-transformers multimodal model with an encoder-free, VAE-free architecture that understands, reasons about, and generates visual content at native resolutions up to 4K. Post-training optimizes specialized experts for visual aesthetics, bilingual text rendering, infographic generation, and image editing, consolidated through multi-expert on-policy distillation. Evaluations report gains in image fidelity, text rendering, multi-reference editing, and instruction following. The team plans to open-source training code including supervised fine-tuning, reinforcement learning, and on-policy distillation.

Hugging Face daily papers·Sep 9, 20:00 UTC · 6d agoModel release

CISA's logging guidance works beyond government

CISA released its Logging Reference Architecture in August 2026 to help federal agencies meet OMB M-26-14 logging requirements, usable as a benchmark by critical infrastructure operators.

CISA's Logging Reference Architecture (LRA), released in August 2026, helps US federal civilian agencies satisfy logging requirements in OMB Memorandum M-26-14 and explicitly encourages critical infrastructure operators to use it as a benchmark. The framework is organized around continuous event monitoring and threat hunting, investigation, response, and forensics, with a federal baseline of six months searchable and one year retrievable logs. Agencies must submit Agency Logging Plans within 90 days and work toward Advanced maturity within 320 days; the guidance also treats AI outputs as derived data requiring human review and preserved metadata.

Help Net Security·Aug 24, 00:00 UTC · 23d agoAdvisory

Safe word: What is it and why do you need one?

ESET recommends pre-agreed family safe words to counter AI voice-clone scams such as virtual kidnapping, as one-in-four Americans report receiving deepfake calls.

ESET outlines how scammers use just seconds of audio scraped from social media or work content to create convincing voice clones, with a Hiya report finding one-in-four Americans received a deepfake voice call in the past 12 months. Common schemes include virtual kidnapping calls mixing cloned voices with sobbing and background noise. A pre-agreed, non-OSINT-discoverable safe word, plus callback verification via known numbers and 2FA, reduces success rates of these frauds.

ESET WeLiveSecurity·Sep 9, 09:00 UTC · 7d agoPhishing & fraud in the wild

Product showcase: Enpass Password Manager breaks away from the proprietary cloud model

Help Net Security·Aug 10, 00:00 UTC · Aug 10, 2026Industry

How to build an exposure management program the business trusts: Lessons from Tenable’s CSO

Tenable's CSO describes an AI-driven exposure management program that consolidates tool sprawl and translates cyber risk for boards.

A Tenable blog post shares lessons from CSO Robert Huber on moving to an AI-driven exposure management program. It argues tool sprawl and data silos hinder holistic risk assessment and that exposure management unifies attack-surface data into business-level metrics for the C-suite.

Tenable Blog·Aug 27, 14:30 UTC · 20d agoIndustry

Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting

Study finds zero-shot time-series foundation models underperform on CGM forecasting; fine-tuned Chronos-Bolt cuts RMSE up to 18.4% and dietary context adds signal.

The paper evaluates time-series foundation models for continuous glucose monitoring forecasting across eight public datasets covering Type 1 diabetes, Type 2 diabetes, and non-diabetes populations. Under a unified protocol, zero-shot foundation models did not consistently outperform baselines like Elastic Net and PatchTST, but lightweight fine-tuning did, with fine-tuned Chronos-Bolt reducing RMSE by 6.5%-18.4% in the T1D cohort and 8.6%-18.2% in the non-diabetes/T2D cohort. A residual-based fusion framework adding dietary context from CGMacros reduced overall RMSE by about 3% and postprandial RMSE by about 15% versus CGM-only baselines.

arXiv cs.AI / cs.LG / cs.CL·Sep 10, 17:43 UTC · 6d agoAI research

[webapps] Linksys E1200_2.0.04 - Unauthenticated OS Command Injection

A proof-of-concept for unauthenticated OS command injection in Linksys E1200 router firmware 2.0.04 has been published on Exploit-DB.

Exploit-DB entry 52660 discloses an unauthenticated OS command injection affecting the Linksys E1200 wireless router running firmware version 2.0.04. The flaw is categorized as a web application vulnerability. No CVE identifier or evidence of in-the-wild exploitation is provided in the listing.

Exploit-DB·Aug 31, 00:00 UTC · 16d agoExploit / PoC

ENISA: Frontier AI Is Changing the Speed of Cyberattacks. Europe Needs to Catch Up

ENISA warns frontier AI compresses attack lifecycles to minutes, with exploits possible within 15 minutes of disclosure and median 72-minute breach-to-exfiltration times.

ENISA's July 2026 paper 'ENISA's view on Cybersecurity in the Frontier AI Era' argues AI-assisted attackers may weaponize vulnerabilities within 15 minutes of disclosure and achieve initial-access-to-data-exfiltration in a median 72 minutes, creating a 'negative time-to-exploit' problem. The report cites one organisation whose CVE volume rose from roughly 80 in Q1 2025 to almost 500 in Q1 2026, then about 500 reports per day when frontier-AI tools were used. ENISA recommends machine-speed defence under 'Cybersecurity as Code', EPSS and VEX-based prioritisation, AI-assisted incident response with human oversight, and an assume-breached architecture.

Security Affairs·Sep 14, 20:35 UTC · 1d agoAdvisory

Tracking Elirks Variants in Japan: Similarities to Previous Attacks

Unit 42 links new Elirks backdoor variants attacking Japanese organizations to 2012 Taiwan attacks, delivered via spear-phishing PDFs exploiting Adobe Flash CVE-2011-0611.

Unit 42 analyzed new Elirks backdoor variants found in an attack on a Japanese business, noting strong similarities to 2012 attacks on Taiwanese ministries. The backdoor retrieves its C2 address from attacker-created accounts on Japanese blog and SNS services. Recent deliveries used an airline e-ticket lure named "E-TKT" with a PDF exploiting Adobe Flash CVE-2011-0611. Shared infrastructure and tactics with the Scarlet Mimic campaign suggest possible ongoing cyber espionage across East Asia.

Palo Alto Unit 42·Aug 17, 12:56 UTC · Aug 17, 2026Threat actor in the wildCVE-2011-0611

Nums AI Releases Causilo: A Tabular Foundation Model That Tops TabArena Among Single Models

Nums AI released Causilo, an Apache-2.0 tabular foundation model achieving the highest single-model Elo (1794) on TabArena for classification and regression.

Nums AI released Causilo 1.0.1, a pretrained in-context learning tabular foundation model for classification (up to 10 classes) and regression, with Apache-2.0 code and research-only weights on Hugging Face. It achieved the highest single-model TabArena Elo of 1792.9 overall, beating TabFM (1764.4) and EXAONE Tabular (1758.8), and a maintainer re-run placed it 3rd of 88 including system entries. It also ranked first by CRPS, R² and RMSE on ScoringBench across 101 datasets, and was fastest on fit and predict versus TabICLv2 and TabPFN-3 on an H100 GPU at 8.15 GiB memory. The model was pretrained only on synthetic data, uses cross-attention to keep cost linear in feature count, and version 1.0.1 adds quantile outputs via 999 native quantiles.

MarkTechPost·04:59 UTC · 14h agoModel release

Training-Free Speech-Centric Omni Understanding with Frozen VLMs

Audio-visual understanding remains challenging because models must jointly interpret spoken content, visual events, and their temporal relationships. Existing omni models typically introduce dedicated audio encoders and rely on expensive audio-video-text training, tightly coupling omni capability to specific VLM backbones and potentially weakening their existing visual and reasoning abilities.…

Hugging Face daily papers·Aug 6, 20:00 UTC · Aug 6, 2026AI research

This month in security with Tony Anscombe – August 2026 edition

ESET's August 2026 recap covers the Hugging Face hack, attacks on critical infrastructure, and a spoofed in-flight Wi-Fi network.

ESET's monthly video with Tony Anscombe recaps major cybersecurity stories from August 2026. Topics include the Hugging Face hack, attacks against critical infrastructure, and a spoofed in-flight Wi-Fi network used against passengers.

ESET WeLiveSecurity·Aug 31, 08:55 UTC · 16d agoIndustry

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

Hackers Deploy Casbaneiro Banking Trojan That Activates When Victims Open Bank Websites

Fortinet details Casbaneiro banking Trojan campaign hitting Latin American bank customers via invoice-themed PDF phishing, with AutoIt loading, RegSvcs.exe injection, and bank-site-triggered activation.

Fortinet identified an August 2026 Casbaneiro banking Trojan campaign targeting users in Argentina, Peru, Colombia, and Mexico through phishing PDFs styled as urgent invoices or legal notices. The staged chain uses IP-based geo-filtering, a Base64-encoded ZIP, an HTA file, and a legitimate AutoIt interpreter before injecting into RegSvcs.exe or mobsync.exe and persisting via a Startup shortcut. The Trojan exfiltrates address book and Outlook data unencrypted, stays dormant until victims visit targeted bank sites, then accepts commands for keyboard control, clipboard pasting, file execution, and command execution. It uses an expected HTTP 403 response from a second server and malformed HTTP requests to complicate network analysis.

Cyber Security News·Sep 14, 08:42 UTC · 2d agoMalware in the wild