Banque Misr UAE Responds to FinCEN's Proposed Money-Laundering Rule
The bank answers allegations in a U.S. Treasury notice proposing special measures over alleged Iranian shadow banking.
2 reports on this incident · first at Sep 2, 2026, 1:21 p.m. ET
Earlier reports
Sep 2, 2026, 1:21 p.m. ETFirst report
FinCEN Proposes Special Measure Against Banque Misr UAE Over Alleged Iranian Shadow Banking
The U.S. Treasury's Financial Crimes Enforcement Network (FinCEN) has issued a Notice of Proposed Rulemaking that would designate five UAE-based branches of Egypt's state-owned Banque Misr as financial institutions of primary money-laundering concern, according to a report by the National Law Review.
FinCEN alleges that 103 potential Iranian shadow banking front companies transacted approximately $1.8 billion through accounts at Banque Misr UAE from January 2024 to June 2026. The proposed rule, issued under Section 311 of the USA PATRIOT Act, would impose Special Measure Five, the strongest of the available special measures.
The proceeding is at the proposed rule stage, and no final determination has been made.
Was this report accurate and useful?
Sources
Revision history
- Version 12 Sept 2026, 17:23current
First published.
- Version 12 Sept 2026, 17:21current
First published.
How we work
This site models an investigative reporter rather than a wire desk. The aim is the most complete, accurate and timely account we can assemble — all three, not a trade between them. Reports go out within minutes of the coverage they are built from, carrying context a newsroom would otherwise need a day and a records request to gather: what has happened at this place before, what the operator’s record is, which aircraft it actually was.
Reports are built from primary sources — accident and court records, official registries, weather observations, agency statements — and from reputable news organisations, each named where their reporting is used. Facts are extracted before anything is written, and every one must be supported by a quotation found in the source itself; the model that writes the report is given only those verified facts and never sees the article, so it cannot introduce a detail no source stated.
Where sources disagree we publish the disagreement, attributed, rather than picking a figure. Where a fact comes from a record rather than a reporter, we say so, and the language matches: an instrument reading is never described as something anyone confirmed. Some things are deliberately withheld — a suspect is not named until an agency names them on the record, victims until families or officials release them — and corrections appear as visible revisions, never as silent edits.
None of that makes a report true. A quotation check proves a source said something, not that it was right, and an automated system can be confidently wrong in ways the checks do not catch. If something here is wrong, the feedback above is how it gets found. The full methodology, including what we refuse to publish.