Russia-Linked CopyCop Expands to Cover US Elections, Target Political Leaders

CopyCop, a Russia-aligned influence network, has shifted its focus to the 2024 US elections, using AI-generated content and inauthentic websites to push targeted political material. The group registered 120 new websites between May 10 and May 12, 2024 and moved its infrastructure to US-based hosts to obscure Russian ties, while AI-generated content saw limited amplification on social media. #CopyCop #USPresidentialElection

Keypoints

  • CopyCop has shifted its focus from other topics to the 2024 US elections, away from Russia’s war in Ukraine and politics in France/UK.
  • Between May 10–12, 2024, CopyCop registered 120 new websites using AI-generated content.
  • The network disseminates targeted content through YouTube and relies on mainstream US/UK media and Russian state media sources.
  • CopyCop employs over 1,000 fake journalist personas to publish and amplify content, with some sites publishing targeted material in French and US election contexts.
  • New infrastructure has been moved to US-based hosts to minimize visible links to Russia, and fewer traces of generative AI use suggest attempts to hide LLM activity.
  • As of early June 2024, AI-generated content has seen little to no amplification on social media, with amplification coming from existing influence networks.
  • Mitigations include tracking narratives with Recorded Future tools, monitoring social media and Telegram, and countering plagiarized content and typosquatting using brand intelligence.

MITRE Techniques

  • [T1583] Acquire Infrastructure – The network moved its infrastructure to US-based hosts to minimize Russian government connections and registered 120 new websites between May 10 and May 12, 2024. β€œThe network registered 120 new websites between May 10 and May 12, 2024, focusing on US elections.” and β€œmoved its infrastructure to US-based hosts, likely to minimize Russian government connections.”
  • [T1036] Masquerading – Use of over 1,000 fake journalist personas to disseminate content. β€œover 1,000 fake journalist personas” used to publish and spread articles.
  • [T1027] Obfuscated/Compressed Files and Information – Fewer traces of generative AI use indicate an attempt to obscure the use of large language models (LLMs). β€œfewer traces of generative AI use indicate an attempt to obscure the use of large language models (LLMs).”

Indicators of Compromise

  • [Domain] Domains – 120 new websites registered between May 10–12, 2024; examples: and other 2 more domains (not disclosed)
  • [User Accounts] Author profiles – Over 1,000 distinct author profiles used to publish content; examples: 1,000+ author profiles, and 2 more configurations (not disclosed)

Read more: https://www.recordedfuture.com/copycop-expands-to-cover-us-elections-target-political-leaders