Search: “Stampli”

Chosen Brick, Iran’s Surveillance Malware

UK, US, and Dutch agencies warn Iranian CHOSEN BRICK malware targets dissidents and journalists via Telegram, harvesting contacts, emails, and messages since 2025.

The UK NCSC, FBI, and Dutch AIVD jointly attributed the CHOSEN BRICK Windows malware family to Iranian intelligence services, used since at least 2025 against dissidents, journalists, and activists worldwide, including in the UK, US, and Netherlands. Operators build rapport over WhatsApp or Telegram, impersonating known contacts or platform support, then deliver lures disguised as installers for Pictory, RunwayML, Norton Antivirus, Telegram, Adobe Flash Player, or KeePass, or fake MRI results. The malware persists via registry Run keys, adds Microsoft Defender exclusions, and uses per-victim Telegram bot IDs for C2, with newer versions adding HTTPS or SOCKS5 proxies. Some victims' data appeared on pro-Iranian leak sites, raising harassment and physical-safety risks.

Security Affairs·07:25 UTC · 2h agoMalware in the wild 7 sources

Stampli cuts launch hours by 68% using ChatGPT Work

AP automation firm Stampli used OpenAI Codex and ChatGPT Work to cut product launch production hours by 68%.

Stampli, an accounts-payable automation company, compressed weeks of launch production into days using Codex and ChatGPT Work. Facing a fixed deadline with design resources committed elsewhere, the team reported a 68% reduction in launch hours. The piece is an OpenAI customer adoption case study.

OpenAI News·Aug 20, 00:00 UTC · 28d agoAI industry

Security Affairs newsletter Round 589 by Pierluigi Paganini

Security Affairs·Aug 9, 11:49 UTC · Aug 9, 2026Industry

Security Affairs newsletter Round 592 by Pierluigi Paganini

Security Affairs newsletter Round 592 aggregates the week's top cybersecurity stories curated by editor Pierluigi Paganini.

Security Affairs published Round 592 of its newsletter curated by editor Pierluigi Paganini, aggregating recent cybersecurity news. The available page text contains only cookie-consent boilerplate and no specific incident details.

Security Affairs·Sep 5, 20:20 UTC · 11d agoIndustry

CARDEA: Auditable Reasoning Grounded in Spatial Evidence for End-to-End Coronary Angiography Interpretation

CARDEA, a vision-language model trained only on public data, matches cardiologists on coronary angiography complexity assessment while exposing auditable bounding-box evidence.

CARDEA is a unified large vision-language model serving as the inference core of an end-to-end coronary angiography pipeline from multi-view videos to study-level diagnosis. It was trained on public datasets through visual alignment, self-distilled Chain-of-Box cold start, and reinforcement learning with verifiable rewards encouraging bounding-box reasoning. It reached 0.91 accuracy on dominance classification under domain shift and 0.90 on complexity assessment, comparable to two interventional cardiologists. RLVR raised zero-shot report generation vessel-severity macro-F1 from 0.513 to 0.686, while supervised imitation alone did not.

Hugging Face daily papers·Sep 6, 20:00 UTC · 10d agoAI research

Security Affairs newsletter Round 591 by Pierluigi Paganini

Security Affairs general newsletter Round 591 aggregates recent security news; the provided page text contains only cookie-consent boilerplate.

This general Security Affairs newsletter (Round 591 by Pierluigi Paganini, international edition) aggregates recent cybersecurity news. The provided page text contains only cookie-consent language, so the specific covered stories are unknown.

Security Affairs·Aug 23, 08:29 UTC · 25d agoIndustry

Security Affairs newsletter Round 590 by Pierluigi Paganini

Weekly Security Affairs newsletter roundup aggregating top cybercrime, malware, APT and AI security stories including ExfilSquad, Kimwolf v7 and Kimsuky AI use.

This is the Round 590 weekly newsletter from Security Affairs, linking to the week's major stories rather than reporting a single incident. Headlines include ExfilSquad extortion, a 7.3M chess.com record leak, Kimwolf botnet v7, SharePoint exploitation after a public PoC, Kimsuky integrating AI, and China-linked autonomous-style attacks. It is a digest and promotional item with no standalone technical details.

Security Affairs·Aug 16, 08:31 UTC · Aug 16, 2026Industry

VDiff-Bench: A Challenging Benchmark for Fine-Grained Image Difference Identification

VDiff-Bench, a 1,756-question benchmark, shows multimodal LLMs struggle with fine-grained image-difference identification, scoring as low as 8.7% on low-level changes.

VDiff-Bench is a multiple-choice benchmark of 1,756 four-way questions over image pairs covering 10 change categories including position, motion, color, texture, OCR/text and illumination, with curated hard negatives. Evaluation of 11 state-of-the-art open- and closed-source MLLMs shows fine-grained visual comparison remains brittle: 7-8B-scale open-source models score 52.5-70.6% on semantic changes but only 8.7-33.3% on low-level changes like noise and texture. Notably, Grok 4.3 shows a sharp performance drop on noise and texture differences, falling behind large open-source models like Kimi K2.5 and K3.

Hugging Face daily papers·Sep 4, 20:00 UTC · 12d agoAI research

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

Once popular for attacking AI, ASCII smuggling is embraced by spammers

Spammers adopt ASCII smuggling—invisible Unicode tag characters—to evade email filters, with Microsoft Defender detections spiking to 2.5 million per day.

ASCII smuggling hides text in Unicode tag characters (e.g., U+E0041 for "A") that are invisible to humans but readable by LLMs and text processors. The technique gained attention as a stealthy prompt-injection vector and is now used by spammers to obfuscate keywords from email detectors. Microsoft reported Defender for Office smuggling detections jumped from roughly 21,000 per day to over 1.3 million in early February, reaching 2.5 million within four days, before falling sharply in mid-May.

Ars Technica · Security·Sep 4, 17:18 UTC · 12d agoPhishing & fraud

WindRelay Malware Pairs With SpyNote RAT in Live-Call Scam

New WindRelay Android NFC-relay malware paired with SpyNote RAT enables real-time card cloning during live scam calls.

Infosecurity Magazine reports on WindRelay, a new Android NFC relay malware that was used together with the SpyNote RAT. The malware let a fraudster relay a victim's contactless card data in real time during a live social-engineering call, enabling the card to be cloned mid-call. The attack combines mobile RAT infection with near-field-communication relaying to defeat contactless payment protections.

Infosecurity Magazine·Aug 12, 14:30 UTC · Aug 12, 2026Malware in the wild

Iranian cyber spies used fake MRI scan results to hack ‘enemy of regime’

UK, US, and Dutch agencies expose CHOSEN BRICK spyware used by Iranian MOIS hackers to surveil dissidents, journalists, and activists via fake MRI lures.

The UK NCSC, FBI, and Dutch AIVD jointly warned that Iranian state-sponsored hackers deploy CHOSEN BRICK Windows spyware against dissidents, activists, and journalists since at least 2025. Operators build rapport over WhatsApp and Telegram, often posing as known contacts or tech support, then deliver malicious files disguised as an MRI scan or installers for Pictory, RunwayML, Norton, Telegram, Adobe Flash Player, and KeePass. The malware steals contacts, emails, and social media messages, captures screen content and microphone audio, adds Microsoft Defender exclusions, and uses per-victim Telegram bots for command and control. The FBI attributes the tradecraft to Iran's Ministry of Intelligence and Security, including the 'Handala Hack' persona, and stolen data has surfaced on pro-Iranian leak sites.

The Record·Sep 15, 16:28 UTC · 1d agoThreat actor in the wild1

MaaS Campaign Combines ClickFix, ErrTraffic and Cruciferra

eSentire uncovered a malware-as-a-service campaign pairing ClickFix social-engineering lures with the ErrTraffic and Cruciferra malware families.

Threat researchers at eSentire identified an ongoing malware-as-a-service (MaaS) campaign that combines ClickFix social-engineering lures with the ErrTraffic and Cruciferra malware families. The campaign relies on ClickFix-style deception to trick users into executing malicious actions that deliver the malware. Further technical detail on affected sectors or infection volumes was not provided in the disclosure.

Infosecurity Magazine·Aug 19, 15:00 UTC · 28d agoMalware in the wild

.blend URL Viewer

Simon Willison demos a .blend URL viewer built with GPT-6 Astra in Codex and ChatGPT Images 2.5 generating Blender models.

Simon Willison used ChatGPT Images 2.5 to generate a Faberge egg concept image themed after the TV show Pluribus, then had Codex running GPT-6 Astra (high) execute a Blender local skill to build a 3D model from it. He published the result as a .blend URL viewer tool and continues experimenting with agentic Blender workflows. The post is a hands-on demo of AI-driven creative tooling rather than a security or release announcement.

Simon Willison·Sep 9, 23:58 UTC · 7d agoAI tools & infra

Angry Birds: Toy Ghouls’ new toys

Kaspersky tracks ransomware group Toy Ghouls deploying new custom backdoors, mqtt-bird-agent and matrix-bird-agent, using HiveMQ MQTT and Element as C2 channels.

Kaspersky reports that Toy Ghouls (also known as Bearlyfy, Laboo.boo and Feral Wolf), a financially motivated group targeting Russian organizations since 2025, shifted from leaked Babuk and LockBit builders and public GitHub tools to its custom GenieLocker ransomware. In early July 2026 the group deployed two custom backdoors: mqtt-bird-agent 0.1.0 using the public HiveMQ MQTT broker as C2, and matrix-bird-agent 0.1.0 using the Element messenger. The backdoors are delivered via WinRM using Evil-WinRM and WinRM-fs, persist as Windows services, and encrypt their configuration with ChaCha20-Poly1305 keyed to the machine's MachineGuid registry value.

Kaspersky Securelist·Sep 4, 10:00 UTC · 13d agoThreat actor

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.

Simon Willison·Sep 4, 23:59 UTC · 12d agoAI research

Mole Ransomware: How One Malicious Spam Campaign Quickly Increased Complexity and Changed Tactics

Unit 42 tracks the new Mole ransomware (CryptoMix family) spread via USPS-themed malspam, with tactics escalating to JavaScript downloaders dropping multiple malware families.

On April 11, 2017, a malspam campaign began distributing Mole ransomware, a CryptoMix-family strain, through USPS-themed emails linking to fake Microsoft Word Online sites offering a bogus Office plugin. By April 13 the campaign added Nemucod JavaScript downloaders installing Mole alongside Kovter and Miuref, and by April 18 it switched to the KINS banking Trojan before moving to speeding-ticket themes and a fake parking services website. Unit 42 notes the rapid tactic changes are likely intended to evade detection, and CryptoMix variants like Mole are typically repackaged within weeks.

Palo Alto Unit 42·Aug 17, 09:53 UTC · Aug 17, 2026Ransomware in the wild

Hackers Deploy New SloppyRAT via ClickFix to Enable Ransomware Lateral Movement

Zscaler discovered SloppyRAT, a ClickFix-delivered RAT that gives ransomware operators reconnaissance, remote execution, and SOCKS proxy pivoting for lateral movement.

Zscaler identified SloppyRAT in June 2026, linked to a ransomware-related threat actor. The infection chain starts with a ClickFix lure abusing finger.exe over TCP port 79, then uses curl.exe, IronPython, CastleLoader, and CastleRAT before reflectively loading SloppyRAT as a DLL in memory. The RAT supports HTTPS command-and-control, system inventory, file operations, Defender tampering, and a reverse SOCKS proxy, with evasion features including runtime code encryption, indirect syscalls, certificate pinning, and a possible EtherHiding blockchain fallback. Its persistence code is buggy and the malware appears under development, but the pre-encryption foothold gives defenders a window to stop intrusions.

Cyber Security News·Sep 11, 09:12 UTC · 6d agoMalware in the wild 3 sources

India’s STPI serves TerminalFix-style attack via fake Cloudflare check

India's STPI government website serves a spoofed Cloudflare verification page that preloads malicious commands into visitors' clipboards for execution in Windows Terminal, matching TerminalFix-style attacks.

A malicious external JavaScript on the ananta.stpi[.]in subdomain of India's Software Technology Parks of India displays a fake Cloudflare 'Verify you are human' prompt and silently writes a URL into the visitor's clipboard, instructing the user to paste and execute it in Windows Terminal. Researcher Vibhum Dubey reported the behavior to STPI and CERT-In; the script loads from the recently registered cdn[.]quickdelivr[.]com and assigns each visitor a unique session identifier. The malicious script remained embedded after the overlay briefly disappeared, and the destination URL was flagged as malicious by 17 VirusTotal engines. No attribution has been established, though the pattern matches Microsoft's TerminalFix, a variant of ClickFix.

CSO Online·Sep 11, 15:26 UTC · 5d agoPhishing & fraud in the wild1

OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis

OmniMed-FL benchmarks multimodal federated learning for chest radiograph diagnosis across 3-20 clients, with FedProx leading under severe non-IID skew.

OmniMed-FL studies multimodal federated learning combining chest radiographs and clinical notes for five-class condition classification under HIPAA/GDDR-compliant decentralized training. It benchmarks eight fusion strategies, imputation rules, and federated baselines under Dirichlet non-IID partitioning across 3-20 hospital clients. With 5 clients and severe skew (alpha=0.1), FedProx scored 0.737 macro-F1 versus 0.662 for FedAvg and 0.297 for local-only training. Multimodal fusion beat unimodal inputs (0.956 vs 0.934 text, 0.664 images) on the synthetic corpus.

arXiv cs.AI / cs.LG / cs.CL·Sep 9, 15:56 UTC · 7d agoAI research1

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.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 16:43 UTC · 1d 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·Sep 13, 14:23 UTC · 3d agoIndustry in the wildCVE-2026-42016CVE-2026-42018CVE-2026-82329+1 CVEs1

Augustinian BabyLM: What Ostensive Definition Can and Cannot Teach a Small Language Model

Study shows visually grounded token embeddings in a small masked LM persist through training and improve object-property knowledge, but escape standard BabyLM benchmarks.

The paper implements ostensive definition for a small DeBERTa masked language model trained on 10M words, seeding visually grounded tokens with embeddings derived from labeled image regions before training. Visual initialization leaves a persistent, seed-replicated advantage on object-property knowledge (COMPS) and a corpus-tailored Visual-Property Swap benchmark covering color, material, size, and shape, but has no effect on most BabyLM grammar benchmarks. Synthetic grounding of previously unseeded words causally transfers the advantage to exactly those words.

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

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