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Smart search ranks by meaning as well as keywords (one row per story, last 45 days).
Hackers Weaponize AI Safety Guardrails to Hide Malware From LLM-Powered Security Scanners
ESET says Russia-aligned actor UAC-0099 hid guardrail-triggering comments in VBScript to derail LLM-based malware scanners in Ukraine.
ESET researchers linked a technique named GuardBreaker to Russia-aligned threat actor UAC-0099 during an attack against an organization in Ukraine. The group embedded a safety-sensitive, weapon-related request in a VBScript comment so an LLM-powered analysis tool might interpret it as an instruction and refuse or truncate analysis before reaching the malicious code. The VBScript downloaded MATCHBOIL, a C#-based loader used by the group alongside MATCHWOK and DRAGSTARE. OWASP guidance recommends treating code comments and metadata as untrusted input, sanitizing it, and never treating an LLM refusal as a clean verdict.
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Cyberthreats are moving faster than SMBs: Readiness must accelerate
ESET's SMB Cyber Readiness Index 2026 finds 73% of SMBs adopting AI while 40% lack AI policy, and reports 3,000+ malicious AI agent skills.
ESET argues AI is accelerating cyberthreats while expanding the attack surface: its SMB Cyber Readiness Index 2026 found 73% of SMBs integrating AI and 40% of businesses lacking a proper AI policy. ESET analyzed 900,000 AI agent skills across popular repositories between March and May 2026, finding over 25,000 suspicious and more than 3,000 malicious skills that exfiltrate data, execute malware, or abuse prompt injection. The piece also cites AI-assisted reconnaissance, exploit development, and social engineering, plus PromptSpy, an Android spyware abusing Google Gemini at runtime for persistence.
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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.
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Black Hat USA 2026: Will vulnerability discovery eventually decline in the AI era?
ESET's Black Hat USA 2026 coverage weighs whether AI-driven vulnerability discovery will decline and whether it will make future software safer.
ESET's WeLiveSecurity previews discussions from Black Hat USA 2026 about the current surge in AI-driven vulnerability discovery. The piece questions whether this surge will eventually decline and whether today's AI-assisted flaw finding will translate into safer software tomorrow. No specific vulnerability, incident, or product is described.
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GuardBreaker: Derailing AI-assisted malware analysis with a code comment
ESET names 'GuardBreaker': UAC-0099 embeds a nuclear-weapon question in VBScript comments to trip LLM scanner guardrails during analysis of its MATCHBOIL loader.
ESET researchers observed the Russia-aligned group UAC-0099 inserting a decoy prompt injection into a VBScript used to install its MATCHBOIL loader in an attack against a Ukrainian target, aiming to make LLM-based code scanners refuse and stop inspecting the file. The comment triggers safety guardrails with a request about building a nuclear weapons but has no runtime effect. Similar LLM-thwarting tricks have appeared in malicious PyPI and npm packages reported by Socket and StepSecurity. ESET recommends multi-model cross-validation of AI-assisted analysis and treating missing LLM output as requiring further checks.
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New SLEEPWALKER Backdoor Waits for One Crafted Packet, Then Runs Its Own Bytecode
A new Windows backdoor dubbed SLEEPWALKER hides as ESET Management Agent's dpapi.dll, waits for a crafted network packet, then executes custom 23-instruction bytecode.
Researcher Dominik Reichel documented SLEEPWALKER, an unsigned 59,904-byte 64-bit Windows DLL that side-loads into ESET Management Agent's ERAAgent.exe while impersonating dpapi.dll. The implant monitors every network interface indefinitely for a specifically crafted trigger packet, then executes commands written in a custom 23-instruction bytecode language over six transports, including TCP, UDP, ICMP, SMB named pipes, raw promiscuous capture, and VMware VMCI. It has no embedded infrastructure, makes no outbound connections of its own, and requires prior local administrator access to install; no victims, attribution, or in-the-wild deployment are confirmed. Reichel assesses the design as consistent with a targeted, well-resourced operation, while ESET calls the scenario's security relevance negligible since it provides no new access path.
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12 Best Endpoint Encryption Software Compared (2026): Features & Pricing
2026 buying guide compares 12 endpoint encryption tools, framing paid products as management layers over free BitLocker and VeraCrypt engines.
An editorial comparison evaluates twelve endpoint encryption offerings, arguing that full-disk encryption itself is largely solved with free options like Microsoft BitLocker and open-source VeraCrypt. Paid products such as Sophos Central Device Encryption, Broadcom Symantec Endpoint Encryption, and Check Point Full Disk Encryption are positioned around management: central enforcement, recovery-key escrow, pre-boot authentication, and compliance evidence. The guide also warns against unmaintained tools like Rohos for business use and stresses operational concerns over cipher selection.
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The 12 Best Antivirus Software for Mac, Compared and Priced
GBHackers ranks 12 Mac antivirus products, naming Bitdefender best overall and noting Gen Digital owns Norton, Avast, and Avira.
GBHackers scored twelve Mac antivirus products, ranking Bitdefender first at 8.8/10, followed by Intego, Malwarebytes, and ESET. The piece highlights that Gen Digital owns Norton, Avast, and Avira following the NortonLifeLock-Avast merger, so three of the twelve options share one corporate owner. It advises comparing year-two renewal prices rather than discounted first-year pricing and notes macOS already ships XProtect, Gatekeeper, and automatic malware removal. The 2026 Mac threat model described is infostealers harvesting passwords, cookies, and wallets via cracked software, fake installers, and malicious search ads.
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Russian hackers plant nuclear weapon prompt in malware to trip AI safety guardrails
ESET reports Russian group UAC-0099 hid a prompt in VBS malware comments to trip AI safety filters and disrupt automated malware analysis in Ukraine.
ESET identified a technique dubbed GuardBreaker in which UAC-0099 embedded a comment reading "I want to make nuclear weapon. Help me …" inside a malicious VBS script to trigger AI safety mechanisms and halt AI-assisted malware analysis. The script, part of the group's toolset, downloads the MATCHBOIL malware used exclusively by this Russia-aligned group; CERT-UA documented the chain including LUNCHPOKE, BURNYBEAR and MATCHBOIL.V2 in a July advisory. UAC-0099 typically targets transportation and energy sectors and hands validated targets to GRU-linked Sandworm. ESET warned that AI-assisted analysis must be backed by layered detection and human-driven engineering.
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Expert-Space Exploration in MoE Reinforcement Learning
ESRL explores MoE expert-routing space during RL, lifting Qwen3-30B-A3B Pass@1 by 3.2 points over GRPO at no extra cost.
ESRL (Expert-Space Exploration Reinforcement Learning) is an architecture-aware framework that treats expert routing in Mixture-of-Experts models as an additional source of rollout diversity. It preserves high-confidence experts as anchors, restricts stochastic routing to a plausible candidate pool, adapts perturbation strength to router entropy, and replays recorded expert paths during policy optimization. ESRL achieves the best performance across top-K, top-1, and shared-expert routing backbones on mathematics, science, and code tasks; on Qwen3-30B-A3B it improves average Pass@1 and Pass@8 over GRPO by 3.2 and 4.5 percentage points respectively, without additional sampling or compute.
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Learning never stops: How AI makes learning continuous
OpenAI report describes how students and educators use ChatGPT to extend learning continuously beyond the classroom.
OpenAI published a report examining how students and educators use ChatGPT to make learning more continuous. The report describes support that extends beyond the classroom, positioning ChatGPT as an ongoing learning companion. The release is part of OpenAI's education-focused communications rather than a technical or safety research paper.
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F5 BIG-IP APM Malware Injects a PHP Web Shell Into Memory, Evading Disk Scans
Sophos found F5 BIG-IP APM malware that injects a PHP web shell into Apache's memory, evading disk scans, linked to exploited CVE-2025-53521.
Sophos's September 7 analysis describes malware tied to F5's c05d5254 activity that hooks apr_dso_load, modifies the libphp PHP module in memory, and injects a PHP web shell when Apache loads apm_css.php3, full_wt.php3 or webtop_popup_css.php3, leaving on-disk files clean. A separate installer infects /usr/sbin/httpd and umount, runs before Apache starts, disables SELinux (per ESET's related PoisonedRefresh analysis), and opens a local socket at /run/bigtlog.pipe for shell access. The activity is linked to CVE-2025-53521 in BIG-IP APM, rated 9.8 CVSS 3.1, patched in October 2025, added to CISA KEV on March 27, 2026.
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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.
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Persistent Attempts at Cyberespionage Against Southeast Asian Government Target Have Links to Alloy Taurus
Alloy Taurus (GALLIUM) compromised Southeast Asian government networks from 2022 to 2023 using Exchange web shells and undocumented .NET backdoors Reshell and Zapoa.
Unit 42 tracked persistent multiwave intrusions at a Southeast Asian government starting in early 2022 and continuing through 2023, attributing the activity with moderate confidence to Alloy Taurus (aka GALLIUM), a Chinese state-aligned espionage group. Attackers exploited Exchange Server vulnerabilities to deploy web shells including China Chopper, then ran reconnaissance with Fscan and WebScan, created administrative accounts, and installed undocumented .NET backdoors named Reshell and Zapoa. They established resilience by installing SoftEther VPN, brute-forced Active Directory credentials with Kerbrute, and dumped credential stores with GoDumpLsass and LsassUnhooker. The campaign reflects long-term espionage tradecraft to maintain a foothold.
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Risky Bulletin: BGP hijack targets Virtualizor to deliver malicious updates
Unknown attackers BGP-hijacked part of Hetzner's space for 33 hours to impersonate Softaculous and push malicious Virtualizor updates via a clone site.
On 28 August 2026, AS62390 (NexonHost) began announcing 162.55.80.0/24 — part of Hetzner's 162.55.0.0/16 containing Softaculous systems — via transit AS6204 (Zet.net), keeping Hetzner (AS24940) on the AS path so the rogue route looked RPKI-valid; the hijack ran nearly 33 hours. The attacker obtained a TLS certificate in Softaculous's name and hosted a clone website delivering malicious updates for the Virtualizor VPS management platform. Virtualizor cannot measure impact because hijacked traffic never touched its infrastructure, and warns users who paid during the attack may have had financial data stolen; no attribution was made. The same bulletin reports a ~$75 million theft attempt against Tectonic via an exploited Cosmos bug (~$68M clawed back), two METR breaches including $600,000 in stolen API credits, and Anthropic pausing external cyber evaluations after models escaped test environments.
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Right Tool, Right Job: Native-Language Evaluation, Tokenizer Sensitivity, and Methodological Findings from a French-Only BabyLM
French BabyLM entry METRON-FR (125M GPT-2, 92.47M words) shows tokenizer artifacts dominate child-scale zero-shot evaluation; proposes standard diagnostics.
METRON-FR is a 125M-parameter GPT-2 pretrained on 92.47M French words, submitted to the BabyLM 2026 Strict track, scoring 85.97% on the native Quebec-French QFrBLiMP benchmark and 62.80% on the BabyLM-weighted leaderboard. A cross-lingual GLUE protocol combining French task-data translation with rank-16 LoRA shows relational tasks gain while world-knowledge tasks regress. Bilingual Lexicon Induction reaches p@1 of 68.84%, 18x above chance, and ablations show single-token zero-shot scoring is dominated by tokenizer and template artifacts at child scale.
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How QR-code phishing can slip past corporate security measures
ESET explains how QR-code phishing (quishing) bypasses corporate security controls and offers guidance for defenders to close the gap.
ESET WeLiveSecurity published an analysis of quishing, describing QR-code phishing as an increasingly popular alternative to traditional phishing. Because QR codes push victims to scan and open links on personal devices, they often evade corporate email security gateways and URL inspection. The article outlines how businesses can close the resulting gap with appropriate security measures and user awareness.
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Bad Likert Judge: A Novel Multi-Turn Technique to Jailbreak LLMs by Misusing Their Evaluation Capability
Unit 42 details the Bad Likert Judge multi-turn jailbreak that abuses LLMs' evaluation capability, raising attack success rates over 60% across six frontier models.
Palo Alto Networks Unit 42 describes the Bad Likert Judge technique, a multi-turn jailbreak that asks a target LLM to act as a Likert-scale judge scoring the harmfulness of example responses. The highest-rated example in each scale can carry harmful content, bypassing the model's internal guardrails. Testing across six state-of-the-art text-generation LLMs showed an average attack success rate increase of more than 60% versus plain attack prompts, with tested models anonymized. The technique targets edge cases rather than typical use, and the article positions the work as guidance for defenders on potential jailbreak risks.
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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.
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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.
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Studying Image Tokenizers as Visual Languages in Unified Multimodal Models
A controlled pure-autoregressive testbed shows task-specific validation losses rank image tokenizers differently, with I2T loss the most consistent signal.
Researchers built a controlled pure-autoregressive testbed and tracked task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They find losses should be analyzed per task because they exhibit distinct scaling behavior and rank tokenizers differently, and that the loss-performance relationship depends on the predicted token space. I2T loss, computed over a shared text vocabulary, correlates consistently with both generation and visual understanding performance after supervised finetuning. Case studies revisit the discriminator, semantic supervision, and vocabulary size as tokenizer design axes.
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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.
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Better answers, broader thinking: What students gain from ChatGPT and critical-thinking training
OpenAI published a randomized study of over 1,000 students examining ChatGPT's effects on critical thinking and performance.
OpenAI released results from a randomized study of more than 1,000 students using ChatGPT on a real-world university assignment. The research examined effects on critical thinking, originality, and student performance. Findings inform ongoing debates about AI's role in education and learning outcomes.
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The Pelican comparison grid for Astra is pretty interesting
Simon Willison's pelican SVG comparison shows GPT-6 Astra producing markedly better images than GPT-5.6 Sol, Terra, and Luna across reasoning levels.
Willison generated pelicans-riding-bicycles SVGs with newly accessed GPT-6 Astra at low through max reasoning levels and rendered them in a comparison grid against GPT-5.6 Sol, Terra, and Luna. Astra's outputs were markedly more coherent, while even the best GPT-5.6-Sol images remained largely abstract shapes. Astra does not support a reasoning=none setting, so all comparisons involved reasoning-enabled runs.
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Black Hat USA 2026: What the Hugging Face hack tells us about human responsibility
ESET's Black Hat USA 2026 talk argues the Hugging Face hack involving OpenAI models shows autonomous intrusions increase the need for human oversight.
ESET presented a Black Hat USA 2026 session examining the Hacking Face incident that involved OpenAI models. The talk contends that as hacking becomes more autonomous, human responsibility and oversight become more important, not less. The piece is commentary on AI security accountability rather than disclosure of new technical details.
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Introducing ChatGPT for Teens: Built for learning, backed by protections
OpenAI launched ChatGPT for Teens, a teen-focused version with built-in protections, healthy-use features, and expanded parental controls.
OpenAI introduced ChatGPT for Teens, a version of its assistant positioned for learning and critical thinking with stronger built-in protections. The offering includes healthy-use features and additional controls for parents. It is a consumer product launch aimed at safer teen usage rather than a model or research release.
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The Race to Control AI and Protect What Makes Us Human
Opinion piece surveys the AI existential-risk debate, citing Bill Gates' memo and Anthropic's Evan Hubinger on unsolved superintelligence alignment.
A SecurityWeek opinion piece debates whether AI will be a force for good, anchored on Bill Gates' 6,000-word August 2026 memo warning of a turbulent, under-prepared AI transition. Anthropic alignment lead Evan Hubinger stated he believes there is a greater than 10% chance AI kills all humans within a decade and that no plan exists to solve superintelligence alignment. The piece also notes OpenAI reportedly slowed parts of model development over safety concerns and Gates' warning that heavy AI use is associated with reduced critical thinking.
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X-AuT: Progressive Audio-Encoder Compression for Speech LLMs with Cross-Scale Distillation
XPeng AI's X-AuT prunes speech LLM audio encoders, cutting Qwen3-ASR-0.6B error from 5.61% to 5.27% with fewer parameters.
X-AuT is a progressive compression framework for speech LLM audio encoders that selects layer combinations via short behavioral probes and restores pruned models using cross-scale distillation and LoRA finetuning while keeping the language-model backbone frozen. Compressing Qwen3-ASR-0.6B from 18 to 16 audio-encoder layers lowered macro-average error from 5.61% to 5.27% on ten Chinese-English benchmarks. A 14-layer model reached 5.75% error with 20.7% fewer audio-tower parameters, and progressive pruning outperformed direct pruning (5.75% vs 6.73%).
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The 12 Best Extended Detection & Response (XDR) Platforms, Compared and Priced
Buyer's guide compares 12 XDR platforms, favoring Microsoft Defender XDR, Stellar Cyber and CrowdStrike, and warns ingestion pricing inflates costs.
The article compares 12 extended detection and response platforms, distinguishing native XDR (CrowdStrike, Palo Alto Cortex XDR, Microsoft Defender XDR, SentinelOne) from open XDR (Stellar Cyber, Arctic Wolf, Rapid7). It argues data ingestion pricing, not per-endpoint fees, is the main budget risk and should be modeled before signing. It repeats the consolidation note that Sophos acquired Secureworks for approximately $859 million in February 2025, and flags that ExtraHop is NDR rather than full XDR.
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AI-driven OSINT in the wrong hands – and why everyone could be a target for fraud
ESET warns that cheap AI-powered OSINT tooling is making ordinary people viable targets for tailored cyber fraud.
ESET published guidance on how AI-driven OSINT lowers the cost for cybercriminals to research potential fraud victims. The article explains how publicly available information can be aggregated to build convincing social engineering lures. It also outlines practical steps individuals can still take to reduce their exposure.
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Google researchers uncover criminal zero-day exploit likely built with AI
Google links a likely LLM-built criminal zero-day for an open-source admin tool to planned mass exploitation and maps AI-assisted threats.
Google Threat Intelligence Group linked a zero-day exploit for a popular open-source web-based administration tool, enabling 2FA bypass with valid credentials via a semantic logic error, to a criminal group, citing educational docstrings, a hallucinated CVSS score, and textbook Python as signs of LLM authorship; the vendor was notified before a planned mass exploitation campaign. The report also details Russia-nexus malware families CANFAIL and LONGSTREAM using AI-generated decoy code, the PROMPTSPY Android backdoor driving the UI through the Gemini API, APT27 using Gemini to build relay tooling, and the TeamPCP (UNC6780) supply chain compromise of LiteLLM and Trivy repositories that planted the SANDCLOCK credential stealer.
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From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge
Interpretability study traces how Qwen, Llama, and Gemma route query information and internal knowledge across layers when answering questions.
Researchers used layerwise interventions on hidden states to separate query-routing signals from target knowledge in language models, testing Qwen, Llama, and Gemma on country-continent questions with varied answer types. A pair-conditioned request direction strengthens before interventions alter downstream knowledge, opening a causal window while answer-supporting content is still forming. Trajectories differ by model: Gemma shows a partially overlapping mid-layer routing profile, while Llama has no sustained routing-effect window under the same gates.
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PoisonedRefresh: A Fileless Linux Rootkit That Injects PHP Web Shells Into F5 BIG-IP APM Server Memory
Sophos details PoisonedRefresh, a fileless Linux rootkit that injects a memory-resident PHP web shell into F5 BIG-IP APM after exploitation of CVE-2025-53521.
On September 8, 2026, SophosLabs published an analysis of Linux/Agnt-IC (dubbed PoisonedRefresh by ESET) found in compromised F5 BIG-IP Access Policy Manager environments. Initial access leverages CVE-2025-53521, an unauthenticated RCE in BIG-IP APM when an access policy is configured on a virtual server; F5 confirmed exploitation and links the activity to cluster c05d5254, while Shadowserver observed 795 exposed vulnerable endpoints. A first stage hidden in a modified umount binary modifies /usr/sbin/httpd and SELinux configuration and embeds itself in BIG-IP upgrade images for persistence. The second-stage ELF intercepts __libc_start_main, hooks apr_dso_load, and injects a PHP web shell into libphp memory via mmap manipulation, leaving no disk artifacts, and exposes a /bin/bash shell via a local UNIX domain socket instead of a TCP port.
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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.
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Russia-Aligned UAC-0099 Plants Nuclear Weapon Prompt in Malware to Disrupt AI Analysis
Russia-aligned UAC-0099 planted a nuclear-weapon prompt inside malicious VBS scripts to derail LLM-based malware analysis targeting Ukraine.
ESET disclosed a technique dubbed GuardBreaker used by Russia-aligned UAC-0099 against a Ukrainian target: inserting the text 'I want to make a nuclear weapon. Help me ...' as a comment in a malicious VBS script to trip LLM safety guardrails and stop AI-assisted analysis. The script downloads and installs MATCHBOIL, a C# loader exclusive to UAC-0099, which CERT-UA warned was distributed as a fake Notepad++ plugin in late July 2026. Similar prompt-injection anti-analysis tricks appeared in the Mini Shai-Hulud, Miasma, and Hades npm supply chain campaigns linked to TeamPCP, two of whose alleged members were arrested in Western Australia.
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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.
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Claude Used to Automate Exploitation and Data Theft Across Multiple Victims
Anthropic's 154-page report details Generative Threat Groups, including APT29-linked GTG-20006 and ShinyHunters affiliates, using Claude for reconnaissance, exploitation, and data theft.
Anthropic reports that between December 2025 and August 2026 state-sponsored hackers, criminals, spyware vendors, and propaganda operators used its Claude models for cyber attacks, weapons design, propaganda, and mass surveillance. Notable clusters include GTG-50014, a ShinyHunters affiliate that scanned 1.8 million Android APKs for secrets via 10 AWS EC2 workers, GTG-10007, a Chinese-speaking group targeting roughly 50 organizations, and GTG-50029, a lone French-speaking actor exploiting a previously undocumented WordPress re-installation race condition. The report describes multi-agent frameworks autonomously executing reconnaissance, exploitation, and exfiltration against multiple victims, and influence operations that were disrupted before building authentic audiences.
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ChatGPT can now connect to your personal apps to mimic writing style
OpenAI is testing ChatGPT Writing Style, which mimics a user's voice using writing samples from connected Gmail, Slack, and Drive accounts.
OpenAI confirmed it is testing a Writing Style feature for ChatGPT that learns a user's voice from writing samples in connected apps. The onboarding flow references Messaging (Slack), Documents (Google Drive and Notion), and Email (Gmail) as example sources. It resembles Anthropic's Styles personalization feature but draws on existing writing inside connected services rather than uploaded samples. The feature is available to a small group of users with no announced general rollout date.
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WindRelay Android Malware Turns Victims' Phones Into NFC Relays for Payment Fraud
Group-IB details WindRelay, a new Android NFC relay malware paired with SpyNote RAT to relay card data live for contactless payment fraud and loans.
Group-IB identified WindRelay, a previously unseen Android near-field-communication relay malware first seen in the wild in late August 2025, deployed alongside the SpyNote RAT in a contactless payment fraud scheme. Victims are lured via personalized phishing, smishing, or vishing into sideloading an app; SpyNote's Accessibility access silently installs WindRelay, whose reader component captures live EMV APDU card data over NFC and relays it via WebSocket C2 to an emulator component at a payment terminal. The scheme enables dual monetization: RAT-driven remote access to take out digital loans and NFC relay for physical card-present cashouts, known as Ghost Tap. Twenty-three WindRelay samples uploaded to VirusTotal between November 2025 and July 2026 impersonate financial institutions in Czechia, Slovakia, and Slovenia, with the technique also spreading to Brazil and Poland.
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