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Trezor customers hit with phishing calls and letters after shipping-partner breach

A breach at shipping partner ShipMonk exposed data for about 67,000 additional US Trezor customers, who now face phishing calls and QR scam letters.

SatoshiLabs, maker of Trezor hardware wallets, confirmed the August 2026 ShipMonk breach exposed names, emails, phone numbers, and shipping addresses for roughly 67,000 US customers who ordered between November 2019 and August 2021, on top of 3,889 customers affected initially. ShipMonk attributed the intrusion to attackers exploiting an SQLi zero-day in Metabase's Cloud SaaS platform and retained data past the 90-day deletion requirement. Trezor's own systems were not compromised; customers are reporting phishing calls and QR-code phishing delivered via physical letters.

Help Net Security · 8d agoData breach

xHunt Campaign: Attacks on Kuwait Shipping and Transportation Organizations

xHunt deployed custom backdoors Hisoka, Killua, Gon, and EYE against Kuwait shipping and transportation organizations, using DNS tunneling and email-draft C2 channels.

Unit 42 observed the xHunt campaign targeting Kuwait transportation and shipping organizations between May and June 2019, installing backdoors named after characters from the anime Hunter x Hunter, including Hisoka, Killua, Sakabota, and Netero. The tools use HTTP and DNS tunneling for C2, and Hisoka v0.9 added an unusual email-based C2 channel that abuses Exchange Web Services with stolen credentials to exchange email drafts. The Gon tool provides port scanning, file transfer, screenshots, remote command execution, and RDP session creation, while EYE acts as a cleanup failsafe if a legitimate user logs in. Related activity targeting Kuwait between July and December 2018 was reported by IBM X-Force IRIS, suggesting the campaigns are likely related.

Palo Alto Unit 42 · Aug 17, 2026Threat actor1

Viggle/Viggle-Animate — new model trending #28 on Hugging Face

Viggle released Viggle-Animate, a 33.1B MiniMax-H3 finetune replacing video characters from one repainted frame, rendering 124 frames in 26 seconds on one GPU.

Viggle-Animate replaces the character in a video using only a driving video and one of its own repainted frames, with no pose estimator, segmentation mask, face tracker, or text encoder. It is a 33.1B full finetune of MiniMax-H3's ref2va transformer, jointly distilled with DMD across two teachers split by noise level, so rendering takes three forward passes per clip. On a B200 GPU it renders 124 frames in 26 seconds, 6.1x faster per clip than Wan2.2-Animate-14B in matched comparisons. The method assumes no person-specific representation, so it generalizes beyond humans; a demo, research write-up, and ComfyUI nodes are available.

Hugging Face trending models · 16d agoModel release1