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The report shows AI lowering the skill barrier for intrusions: a low-skill actor used an agent framework, a reasoning model, and a coding tool to map targets and write scripts, after disabling safety controls. Unit 42 is careful to say the model did not act autonomously and that the 5,200-record breach came from a separate intrusion than the login the tool helped find. For AI readers, the useful signal is misuse of general-purpose models and agents in routine attacks, which makes guardrail robustness and monitoring of agent tooling more pressing than the single incident.
Hacker With Limited Skills Used DeepSeek AI to Breach Indian University and Steal Over 5,200 Records
A cybercriminal using the online handle BUGSTER used artificial intelligence tools to support attacks on Indian organizations, including two universities. In one confirmed intrusion, the attacker stole a MongoDB database containing more than 5,200 records, including personal information about students and staff, according to Palo Alto Networks’ Unit 42. The researchers did not name the […] The post Hacker With Limited Skills Used DeepSeek AI to Breach Indian University and Steal Over 5,200 Records appeared first on Cyber Security News.
A cybercriminal using the online handle BUGSTER used artificial intelligence tools to support attacks on Indian organizations, including two universities. In one confirmed intrusion, the attacker stole a MongoDB database containing more than 5,200 records, including personal information about students and staff, according to Palo Alto Networks’ Unit 42. The researchers did not name the universities. The actor’s setup combined Hermes Agent, an AI assistant framework, with DeepSeek V4 as its reasoning model and Cursor as a coding tool. Unit 42 said…
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