Florida says motor vehicle data breach tied to credentials stolen from officer’s personal device
ShinyHunters breached Florida's DMV using credentials stolen from a police officer's personal device; the state confirmed the breach and is investigating.
Florida's Department of Highway Safety and Motor Vehicles (FLHSMV) confirmed a data breach after ShinyHunters obtained DMV data using credentials a criminal actor took from a Plant City police officer's personal electronic device. The department learned of the breach on September 4, is investigating with the Florida Digital Service, and ShinyHunters shared a DMV record of Jeffrey Epstein as proof of access. Experts initially speculated a link to the IDScan breach of 153 million driver's licenses. Anthropic reported that suspected ShinyHunters affiliates use AI to scan credentials, map systems, and exfiltrate data, in one case moving from a stolen developer token to cloud admin access in about three hours.
UNC6671 Vishing Attacks Target Personal Phones to Steal SaaS Data
Google and Mandiant attribute vishing-based SaaS data extortion attacks to UNC6671, now operating under the Redact, Pink, Helix, and Falcon brands.
Google Threat Intelligence Group and Mandiant track extortion group UNC6671, which uses vishing calls impersonating IT help desks to lure employees to adversary-in-the-middle phishing pages that capture credentials, MFA tokens, and session tokens. The group then registers adversary-controlled MFA devices, pivots through identity providers into Microsoft 365, Okta, and other SaaS applications, and runs automated Python and PowerShell exfiltration scripts. UNC6671 has rotated through extortion brands including BlackFile, Redact, Pink, Helix, and Falcon, and Google tracked over $10.6 million in Bitcoin payments between January 7 and May 12, 2026, with initial demands exceeding $3 million. The actor has hit dozens of organizations in North America, Australia, and the UK, shifting toward high-value financial and legal firms in July 2026.
Person Hides Prompt Injection in Legal Filing Telling AI to Side With Them
A Connecticut pro se litigant hid tiny white-font prompt injections in court filings directing AI to favor him; the judge caught it and sanctioned him.
Pro se plaintiff Matthew Elliott hid prompt injection instructions in 3-point white text within filings in his lawsuit against the New York Bariatric Group, instructing any AI model reviewing the document to produce output agreeing with the filing. The hidden text also included joke messages such as a SpongeBob Nosferatu link and notes like 'hi :) I hope you cant see me'. Court staff noticed unusual white space, and Judge Walter Spader Jr. issued a 14-page sanction decision noting the Connecticut court does not use AI to process documents but warning that hidden AI-directed messages threaten the integrity of filings. Elliott described the scheme as an 'audit' of court AI usage, and the judge cited a prior prompt injection incident in a Brazilian court as evidence the practice may spread.
Iranian Hackers Use Fake MRI Results to Infect Victims With CHOSEN BRICK Spyware
Iranian state-linked hackers deliver CHOSEN BRICK Windows spyware via fake MRI results to surveil dissidents, activists, and journalists in the UK, US, and Netherlands.
A joint advisory from the UK NCSC, FBI, and the Netherlands' AIVD links Iranian state-linked actors to CHOSEN BRICK, a Windows spyware family used for long-term surveillance since at least 2025. Targets are approached on WhatsApp or Telegram with tailored lures such as fake MRI scan results or application files, and operators often redirect victims to personal devices to bypass corporate controls. The malware persists via Run registry keys, adds antivirus exclusions, uses a per-victim Telegram bot for command and control, and exfiltrates data through cloud storage and proxy services. Capabilities include screenshots, audio recording, email and messaging theft, command execution, file deletion, data wiping, and some victims' details have appeared on pro-Iranian leak sites for harassment.
Japan’s Digital Agency Breach Exposes 240,000+ Users’ Personal Records to Hackers
Attackers exploited a patched VPN appliance flaw to breach Japan's Digital Agency shared government platform, exposing about 246,000 personal records.
Japan's Digital Agency disclosed on September 11 that attackers exploited a VPN appliance vulnerability to access the Government Solution Service (GSS), a shared IT platform across ministries, exposing roughly 246,000 personal records. The attacker was active since late May using a maintenance staffer's credentials, with suspicious activity detected June 25 and containment on July 9. Exposed data covers about 189,000 employees/public officials and 57,000 contractors; no My Number, bank, or pension data was included. The VPN flaw was medium severity with a patch already available, and the 78-day detection-to-disclosure gap has drawn scrutiny.
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.
Mapping out your unknown: A threat hunter’s guide to GitHub
Datadog Security Labs publishes a threat-hunting guide with audit-log queries to detect GitHub token theft, device code phishing, and source code exfiltration.
Datadog's threat-hunting guide covers GitHub audit log queries for detecting compromised accounts, stolen personal access tokens, and malicious OAuth app authorizations. Attackers typically obtain credentials through phishing, credential stuffing, leaked secrets, or device code phishing, then map private repositories, exfiltrate source code, and pivot into connected cloud and CI/CD environments. The guide maps detections to MITRE techniques like T1078 and T1528 and documents GitHub logging quirks affecting attribution, token metadata, and visibility fields.
Threat Actor Generates 1M Personalized Fraud Emails in 3 Days
Cybercriminals used AI to generate 1 million personalized fraud emails in three days, eliminating the traditional volume-versus-credibility tradeoff.
Dark Reading reports that a threat actor used AI to generate approximately 1 million personalized fraudulent emails within three days. The article highlights that AI now lets malicious email campaigns combine high volume with high credibility, removing a historic constraint on phishing operations. No specific gang, victim list, or tooling is named in the available text.
Attackers call employees’ personal phones to break into Microsoft 365 accounts
Microsoft tracks vishing campaigns by Storm-3121 and Storm-3032 that impersonate IT staff, phish Microsoft 365 credentials, and steal cloud data.
Microsoft Security Research has tracked a campaign since May 2026 in which attackers call or text employees' personal phones posing as IT staff, using passkey/MFA/SSO lures to run adversary-in-the-middle phishing or device-code authentication flows. Attackers register their own MFA methods for durable persistence, abuse Microsoft Graph for tenant discovery, and download SharePoint, OneDrive, and Exchange data below 1,000 files or emails per hour to avoid detection. Microsoft attributes initial access to actors including Storm-3121, which feeds ShinyHunters and Falcon extortion operations, and Storm-3032, the Helix extortion operation descended from BlackFile.