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This incident highlights how autonomous AI agents are lowering the barrier for cyberattacks by enabling rapid, unsupervised exploitation campaigns that traditional low-skill threats could not sustain. The shift from manual scanning to automated orchestration using open-source tools demonstrates a critical vulnerability in current security postures where AI efficiency directly translates to higher breach velocity and scale. For the industry, this underscores the urgent need for adaptive defenses capable of countering self-driving attack vectors before they achieve full administrative access.
Autonomous AI Agents Hack Retailers for $25 and Steal 600,000 Credit Cards

A financially motivated operator has been running three open-source AI tools against many online retailers, mostly without supervision. The results are shocking: over 600,000 credit card records have been stolen, scripts to gather card information have been placed on dozens of checkout pages, and in at least two cases, the operator’s cleanup routine completely wiped […] The post Autonomous AI Agents Hack Retailers for $25 and Steal 600,000 Credit Cards appeared first on Cyber Security News.
A financially motivated operator has been running three open-source AI tools against many online retailers, mostly without supervision. The results are shocking: over 600,000 credit card records have been stolen, scripts to gather card information have been placed on dozens of checkout pages, and in at least two cases, the operator’s cleanup routine completely wiped out the victims’ data. Gambit Security’s Threat Intelligence team recovered the operator’s exposed staging server and reconstructed the campaign from what it left behind, and the picture it reveals is sobering for every security team. The economics are…
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