Hackers hide malware in blockchains: attacks up 440%

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Hackers are using blockchains to keep malware instructions available after servers disappear

AI is making blockchain-based malware infrastructure easier for less experienced hackers

Blockchain traffic is difficult to block without disrupting legitimate cryptocurrency services worldwide

Hackers are increasingly hiding malware instructions inside public blockchains, creating communication channels that can survive the removal of conventional infrastructure.

New figures from Chainalysis claim malicious blockchain activity increased 440%, with daily entries rising from 2.06 to 11.1 after newer AI systems emerged.

The technique gives attackers another way to maintain communication with compromised computers without relying entirely on conventional servers controlled by hosting providers.

Blockchain networks become malware dead drops

Blockchain dead drops use transaction data or smart contracts as lookup points, allowing infected computers to retrieve commands, addresses, or configuration information.

Because blockchain records are distributed across networks, removing a conventional server does not erase information already stored on the ledger.

A North Korean-linked operation associated with UNC5342 uses TRON and Aptos as alternate routes before retrieving encrypted instructions through the BNB Chain.

Its malware can check one network, switch to another when necessary, and retrieve updated addresses without receiving another malware package.

Iranian actors suspected of links to the country's intelligence ministry have embedded encoded routing information inside Bitcoin transactions used for malware retrieval.

Russian-speaking cybercriminals have also commercialized the technique, using Polygon contracts to provide blockchain-backed infrastructure for malware campaigns operated by different customers.

One related operator controls more than 50 BNB Chain resolver contracts while also conducting activity involving fraudulent tokens and clipboard-monitoring malware.

These operations show how blockchain records can function as persistent lookup infrastructure rather than merely serving their conventional financial and transactional purposes.

AI lowers the technical barrier

Chainalysis said the sharp increase in this malicious activity followed the arrival of high-capacity Chinese open models, which placed fewer restrictions on malware development requests.

Before those systems appeared, building reliable blockchain-based malware infrastructure required expertise across malicious software, cryptocurrency networks, and distributed communication systems.

AI tools can reduce that knowledge barrier by helping less experienced operators understand unfamiliar technologies and produce components needed for blockchain communication.

In the second quarter of 2026, state-linked groups accounted for roughly two-thirds of newly observed activity.

Those groups also represent about half of overall observed activity, indicating that blockchain-based malware infrastructure extends beyond conventional cybercriminal operations.

Defenders face difficulties because blocking blockchain traffic could also disrupt legitimate wallets, decentralized applications, exchanges, and decentralized finance services used worldwide.

Attackers can further complicate disruption by operating their own blockchain nodes, reducing dependence on external providers that defenders might otherwise pressure or disable.

Some operators have hidden server addresses inside wallet identifiers without usable private keys, then used zero-value transfers to trigger malware retrieval.

Those transactions leave public records that investigators can examine, potentially providing useful clues even when attackers attempt to conceal their infrastructure.

"While the exploitation of blockchain by state-linked organizations such as North Korea is becoming more sophisticated, on-chain records left by attackers can actually serve as important clues to track them," said Kwon Jun-hyeok, General Manager of Chainalysis Korea.

"Tracking these traces and identifying attackers and related infrastructure through blockchain intelligence will become increasingly important in responding to new cyber threats."