Optical Character Recognition → News → Incrypthos News

Optical Character Recognition

Definition ∞ Optical Character Recognition (OCR) is a technology that transforms various document types, such as scanned paper documents, PDFs, or images captured by digital cameras, into editable and searchable digital data. While not exclusively a crypto-specific term, OCR can be relevant in processing financial records or identity documents for Know Your Customer (KYC) and Anti-Money Laundering (AML) compliance within digital asset platforms. It facilitates the digitization of information.
Context ∞ Although not a primary focus, OCR technology finds application within the broader digital asset ecosystem, particularly in the context of regulatory compliance and data management. News might reference OCR when discussing automated onboarding procedures for cryptocurrency exchanges or the verification of physical documents for institutional clients. Its utility resides in streamlining the conversion of static visual data into machine-readable formats for analysis and record-keeping.

A translucent blue hardware wallet, featuring a smooth, rounded chassis, securely encapsulates cryptographic primitives. Two clear, tactile interface elements, potentially for multi-signature transaction confirmation or seed phrase recovery, protrude from its surface. A dark rectangular port, likely for USB connectivity or data transfer, is integrated into the side. This device symbolizes robust cold storage solutions for private keys, ensuring enhanced blockchain security and self-sovereign digital identity within the Web3 ecosystem, facilitating secure asset custody and tokenization.

→Transaction Modification

→Malware Strain

→Threat Intelligence

Mobile Malware Uses OCR to Steal Wallet Seed Phrases from Screenshots

The SparkCat and SpyAgent malware strains weaponize Optical Character Recognition to exploit the human layer, reading and exfiltrating private keys stored as device images.