Researchers say credential-stealing campaign used AI to build evasion ‘at every stage’

Researchers say credential-stealing campaign used AI to build evasion ‘at every stage’

Researchers say credential-stealing campaign used AI to build evasion ‘at every stage’

https://cyberscoop.com/deepload-ai-malware-obfuscation-at-every-stage-reliaquest/

Publish Date: 2026-03-30 14:30:00

Source Domain: cyberscoop.com

A new malware-based credential-stealing campaign, which researchers are calling “DeepLoad,” has been infecting enterprise business IT environments over the past

In a report released Monday, ReliaQuest AI researchers Thassanai McCabe and Andrew Currie say the most relevant feature of this attack is the way it uses artificial intelligence and other engineering “to defeat the controls most organizations rely on, turning one user action into persistent, credential-stealing access.”

DeepLoad is delivered to victims via “QuickFix” social-engineering techniques, such as fake browser prompts or error pages. If the user falls for the scheme, the malware developers — or more likely their AI tools — put a lot of work into building evasion of security technology “at every stage” of the attack chain.

The loader “buries functional code under thousands of meaningless variable assignments,” and the payload runs behind a Windows lock screen process that is “overlooked by security tools” monitoring for threats. ReliaQuest said “the sheer volume” of code padding likely rules out human-only involvement.

“We assess with high confidence that AI was used to build this obfuscation layer,” McCabe and Currie write. “If so, organizations should expect frequent updates to the malware and less time to adapt detection coverage between waves.”

DeepLoad can steal credentials through real-time keylogging, and even if security teams block the initial loader, it was able to persist through backup contingencies.

“In the incidents we investigated, the loader spread to connected USB drives, which means the initial host is unlikely to be the only impacted system,” McCabe and Currie wrote. “Even after cleanup, a hidden persistence mechanism not addressed by standard remediation workflows re-executed the attack three days later.”

ReliaQuest’s research offers more evidence that over the past year, some traditional static…

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