AI allows hackers to identify anonymous social media accounts, study finds
Summary
Researchers found that large language models (LLMs, AI systems like ChatGPT that predict and generate text) can easily de-anonymize (link anonymous accounts to real identities) social media users by collecting and matching information they post across platforms. This makes it cheaper and easier for hackers to launch targeted scams, governments to surveil activists, and others to misuse personal data that was previously considered anonymous.
Solution / Mitigation
The source explicitly mentions mitigations proposed by researcher Lermen: platforms should restrict data access as a first step by enforcing rate limits on user data downloads, detecting automated scraping, and restricting bulk exports of data. Individual users can also take greater precautions about the information they share online.
Classification
Affected Vendors
Related Issues
CVE-2025-45150: Insecure permissions in LangChain-ChatGLM-Webui commit ef829 allows attackers to arbitrarily view and download sensitive
CVE-2025-54868: LibreChat is a ChatGPT clone with additional features. In versions 0.0.6 through 0.7.7-rc1, an exposed testing endpoint
Original source: https://www.theguardian.com/technology/2026/mar/08/ai-hackers-social-media-accounts-study
First tracked: March 8, 2026 at 12:00 PM
Classified by LLM (prompt v3) · confidence: 85%