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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 · 6h agoThreat actor in the wild1

Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Modality Subregion Transfer

Domain-adversarial nnU-Net trained on 4,604 CT/MRI scans achieves 87.31% Dice pancreas segmentation with label-efficient subregion transfer.

A unified 3D pancreas segmentation framework applies domain-adversarial learning to 4,604 heterogeneous CT and MRI scans, aligning CT-MRI features via a latent domain discriminator on a shared nnU-Net encoder-decoder. Whole-pancreas segmentation reaches 87.31% Dice in-distribution and 84.20%-88.09% across external OOD datasets. The transferred encoder achieves 80.53% Dice on MRI and 83.05% on CT for downstream head-body-tail subregion segmentation using only limited MRI subregion annotations.

arXiv cs.AI / cs.LG / cs.CL · 4d agoAI research

Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI

Study of label leakage and anatomical grounding in multimodal MRI models for Alzheimer's staging shows cognitive-score fusion accuracy of 87.3% is leakage-driven.

The authors train a ResNet18 slice-based encoder with a one-layer Transformer on 1,075 ADNI-1 T1 MRI scans, using FastSurfer segmentations and YOLOv8 localization (mAP_50 above 0.96) as anatomical reference. Grad-CAM shows the image-only classifier often attends to skull and background rather than disease-relevant structures. A CLIP-style image-tabular contrastive framework organized along a label-leakage spectrum yields 87.3% three-way accuracy with cognitive scores versus 73.0% with regional volumes, and cropping to the medial temporal lobe raises image-only accuracy from 58.7% to 65.1%. Results come from single runs on a small balanced test set with reported confidence intervals.

arXiv cs.AI / cs.LG / cs.CL · 1d agoAI research1

Iranian Hackers Use Telegram-Controlled Malware to Spy on Dissidents and Journalists

FBI, NCSC, and AIVD detail Iran MOIS spyware CHOSEN BRICK/HEAVYGRAM, Telegram-controlled Windows malware spying on dissidents since 2023.

A September 15 joint advisory from the FBI, UK NCSC, and Dutch AIVD attributes the Windows spyware HEAVYGRAM (NCSC name CHOSEN BRICK) to Iran's Ministry of Intelligence and Security, with the campaign dating to autumn 2023 and targeting dissidents, journalists, and activists in the UK, US, Netherlands, and worldwide. Delivered via messages impersonating known contacts or tech support, the malware assigns each victim a dedicated Telegram bot for command-and-control and exfiltration, and can take screenshots, record microphone audio, steal Telegram/WhatsApp data, saved passwords, and emails, download more malware, and wipe the computer. Persistence uses a registry Run key (SMQDService or winappx) plus Microsoft Defender exclusions, with stolen data exiting via Telegram and cloud storage services like Vultr and Storj. The US Justice Department seized four pro-Iranian leak sites in March that had published stolen victim data.

The Hacker News · 6h agoMalware in the wild

UK and allies expose spyware used by Iranian state actors to target dissidents, activists and journalists

Joint advisory details Iranian spear-phishing campaign deploying CHOSEN BRICK spyware to surveil dissidents, activists, and journalists across UK, US, Netherlands.

The NCSC (part of GCHQ), FBI, and AIVD jointly warned that Iranian state actors impersonate trusted contacts on WhatsApp and Telegram to deploy the CHOSEN BRICK spyware against dissidents, activists, and journalists worldwide. The Windows-only malware is persistent across reboots and collects contacts, emails, social media messages, screen captures, and microphone audio. Stolen personal details of some victims have been published on pro-Iranian leak sites. The FBI published complementary technical analysis, and the NCSC offers free cyber defence services for high-risk individuals.

NCSC UK · 11h agoThreat actor in the wild

Iranian cyber targeting of dissidents, activists and journalists

UK NCSC, FBI, and Dutch AIVD expose CHOSEN BRICK spyware used by Iranian state actors against dissidents, activists, and journalists worldwide.

A joint advisory from the UK NCSC, FBI, and Dutch AIVD details CHOSEN BRICK, a Windows spyware family used by Iranian state cyber actors since at least 2025 against dissidents, activists, and journalists in the UK, US, and Netherlands. Actors build rapport on WhatsApp and Telegram impersonating known contacts or platform support, then deliver disguised payloads resembling apps such as Telegram, Norton, RunwayML, or fake MRI results. The malware persists via HKCU Run registry keys, adds Microsoft Defender exclusions, and uses a unique Telegram bot C2 per victim. Capabilities include screen capture, microphone recording, process enumeration, email and messaging data theft, file deletion, and system wiping; victim data has appeared on pro-Iranian leak sites.

NCSC UK · 11h agoThreat actor in the wild

Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care

Children's Hospital of Philadelphia uses NVIDIA open-source MONAI, Warp and Newton to build pediatric heart models in seconds for surgical planning.

CHOP's cardiac modeling service uses MONAI, Auto3DSeg and SlicerHeart to turn CT, MRI and 3D ultrasound images into anatomically precise heart models in seconds instead of four hours of manual work. More than 20 US children's hospitals run similar programs, with Boston Children's supporting roughly 500 cardiac surgery cases a year. NVIDIA's Newton physics engine, built on the Warp Python framework, aims to reduce device simulations from hours to near real time in clinical workflows.

NVIDIA Blog · 14h agoAI industry