In brief: Meta’s automated support systems were exploited by attackers to bypass account owners and hijack Instagram accounts.
Attackers took over Instagram accounts by manipulating Meta’s AI-powered support tools to impersonate legitimate account holders and circumvent security measures.
Multiple Instagram users lost control of their accounts after attackers successfully deceived Meta’s AI-powered support tools. The attackers presented themselves to the automated systems as legitimate account holders and convinced them of their authorization to access the affected accounts.
For CISOs, this incident represents a concrete vulnerability in the security architecture of AI-based authentication processes: automated support systems that rely on language models can be induced through social engineering or deliberately formulated requests to bypass security policies. This underscores the risk of deploying AI models as the sole or primary control mechanism in account recovery scenarios.
The incidents demonstrate that AI security cannot be viewed in isolation: while the models themselves may be technically robust, their application contexts can open new attack vectors. Organizations should combine AI-powered support tools with additional verification layers and regularly test how resilient their systems are against social engineering approaches.
Source: www.bleepingcomputer.com · Published 2 June 2026
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