FBI Boston recovers stolen manuscript signed by Hernán Cortés

Special agents from the art crime team at the Boston Federal Bureau of Investigation (FBI) have recovered a 495 year-old manuscript signed by Spanish conquistador Hernán Cortés, which is believed to be one of several documents that were stolen from Mexico’s national archives some time prior to 1993.

The manuscript is a payment order signed by Cortés on April 27, 1527, authorizing the purchase of rose sugar for 12 gold pesos.

According to the Department of Justice, an individual submitted the historic manuscript to be auctioned online with a Massachusetts auction house.

Mexican authorities alerted US officials that the document was stolen and the item was pulled from auction.

This almost 500 year-old payment order carries the signature of Hernán Cortés. Boston FBI Twitter

“As a result of exceptional work by the Asset Recovery Unit in our office and our law enforcement partners, this historic artifact has been recovered,” said United States Attorney Rachael S. Rollins.

The document was recovered on Tuesday and that same day, Rollins filed a forfeiture action whose goal is to return the document to Mexico, its “rightful owner”.

With reports from Aristegui Noticias and Boston25News

Have something to say? Paid Subscribers get all access to make & read comments.

Yucatán cracks open a new market for mamey with first-ever shipment to UK

0
Getting British consumers to like the sweet tropical fruit was the easy part; shipping it to them without bruising, and in adherence to UK regulations, was much harder.

Vehicle explodes on highway near Mexico City’s AIFA airport, killing 2

0
Two alleged members of the Sinaloa Cartel were killed on Saturday when the vehicle they were traveling in exploded on the Mexico City-Pachuca highway in México state.

Mexico’s eagerly awaited supercomputing program launches

0
As part of phase one, researchers from Mexico's weather agency have begun working at the Barcelona Supercomputing Center to standardize Mexico's meteorological data and produce more advanced forecasts.
BETA Version - Powered by Perplexity