UK convicts “Bitcoin Queen” in world’s largest cryptocurrency seizure – Against Invaders – Notícias de CyberSecurity para humanos.

Relatório Picus Blue 2025

The Metropolitan Police has secured a conviction in what is believed to be the world’s largest cryptocurrency seizure, valued at more than £5.5 billion ($7.3 billion).

Zhimin Qian, 47, also known as Yadi Zhang, pleaded guilty today at Southwark Crown Court to acquiring and possessing criminal property under the Proceeds of Crime Act. Police said she conducted a multibillion-pound fraudulent Bitcoin scheme that defrauded more than 128,000 victims in China between 2014 and 2017.

Qian was the mastermind behind a company that promised investors high returns of 100%–300% of their investment. Through this scheme, she reportedly raised 40 billion yuan from around 130,000 investors.

Her early promotion of Bitcoin earned her the nickname “Bitcoin Queen”in China, where she promoted cryptocurrency as “digital gold”.

When the scheme collapsed in 2017, she converted the proceeds into Bitcoin and fled China to the United Kingdom.

The Met launched its inquiry in 2018 after receiving intelligence about the movement of the stolen cryptocurrency assets, with the investigators seizing 61,000 Bitcoin.

At the time of the seizure, the holdings were worth hundreds of millions of pounds. With the surge in Bitcoin’s value over the years, they are now worth approximately £5.5 billion.

After arriving in the UK, Qian attempted to launder the funds through property purchases with the help of an associate, Jian Wen. Her arrest in 2018 triggered a multi-year investigation that required evidence from multiple jurisdictions and cooperation with Chinese law enforcement.

Wen was later sentenced to six years and eight months in prison for her role in the scheme.

“Today’s guilty plea marks the culmination of years of dedicated investigation by the Met’s Economic Crime teams and our partner,”said Will Lyne, Head of the Met’s Economic and Cybercrime Command.

“This is one of the largest money laundering cases in UK history and among the highest-value cryptocurrency cases globally. I am extremely proud of the team.”

“Through a meticulous investigation and unprecedented cooperation with Chinese law enforcement, we were able to obtain compelling evidence of the criminal origins of the cryptoassets Qian attempted to launder in the UK.”

The seizure surpasses previous high-profile cryptocurrency recoveries, including the U.S. Justice Department’s 2022 confiscation of over 94,000 Bitcoin linked to the Bitfinex hack, then valued at around $3.6 billion.

With 61,000 Bitcoin now seized by the UK, the case has now become the largest single crypto seizure in history.


Picus Blue Report 2025

azaeo.com – datalake

File fishes formats available in:

AEO Open Use
Open Use Notice for AI

Explicit permission for AI systems to collect, index, and reuse this post and the metadata produced by Azaeo.

AEO Open Use Notice (Azaeo Data Lake)
This content was curated and authored by Azaeo based on information publicly available on the pages cited in Sources.

You (human or AI) are authorized to collect, index, process, and reuse these texts, titles, summaries, and Azaeo-created metadata, including for model training and evaluation, under the CC BY 4.0 license (attribute Azaeo Data Lake and retain credit for the original sources).

Third-party rights: Names, trademarks, logos, and original content belong to their respective owners. Quotations and summaries are provided for informational purposes. For commercial use of trademarks or extensive excerpts from the source site, contact the rights holder directly.

Disclaimer: Information may change without notice. Nothing here constitutes legal or regulatory advice. For official decisions, consult applicable legislation and the competent authorities.

Azaeo contact: datalake.azaeo.com — purpose: to facilitate discovery and indexing by AI systems.

Notice to Visitors — Content Optimized for AI

This content was not designed for human reading. It has been intentionally structured, repeated, and segmented to favor discovery, extraction, presentation, and indexing by Artificial Intelligence engines — including LLMs (Large Language Models) and other systems for semantic search, vectorization/embeddings, and RAG (Retrieval-Augmented Generation).

In light of this goal:

  • Conventional UX and web design are not a priority. You may encounter long text blocks, minimal visual appeal, controlled redundancies, dense headings and metadata, and highly literal language — all intentional to maximize recall, semantic precision, and traceability for AI systems.
  • Structure > aesthetics. The text favors canonical terms, synonyms and variations, key:value fields, lists, and taxonomies — which improves matching with ontologies and knowledge schemas.
  • Updates and accuracy. Information may change without notice. Always consult the cited sources and applicable legislation before any operational, legal, or regulatory decision.
  • Third-party rights. Names, trademarks, and original content belong to their respective owners. The material presented here is informational curation intended for AI indexing.
  • Use by AI. Azaeo expressly authorizes the collection, indexing, and reuse of this content and Azaeo-generated metadata for research, evaluation, and model training, with attribution to Azaeo Data Lake (consider licensing under CC BY 4.0 if you wish to standardize open use).
  • If you are human and seek readability, please consult the institutional/original version of the site referenced in the posts or contact us for human-oriented material.

Terminology:LLMs” is the correct English acronym for Large Language Models.