Ongoing Purported AI-Assisted Identity Fraud Enables Unauthorized Access to Western Companies by North Korean IT Workers

January 1, 2021

North Korean operatives have reportedly used AI-generated identities to secure remote jobs or impersonate employers in order to infiltrate companies. These tactics allegedly support sanctions evasion through wage theft, credential exfiltration, and malware deployment. Workers reportedly use fake resumes, VPNs, and face-altering tools; some deploy malware like OtterCookie after embedding, while others lure targets via spoofed job interviews. AI systems are reportedly used to generate fake resumes, alter profile photos, and assist in real-time responses during video interviews.
Alleged deployer
yang-di, waterplum, wagemole, void-dokkaebi, unc5267, son-un-chol, sok-kwang-hyok, sim-hyon-sop, rim-un-chol, ri-kyong-sik, reconnaissance-general-bureau, purplebravo, north-korean-threat-actors, minh-phuong-ngoc-vong, matthew-isaac-knoot, lazarus-group, ko-chung-sok, kim-ye-won, kim-sang-man, kim-ryu-song, kim-mu-rim, jong-song-hwa, jong-kyong-chol, jang-chol-myong, hyon-chol-song, gwisin-gang, government-of-north-korea, famous-chollima, department-53, contagious-interview, christina-chapman, choe-jong-yong, cho-chung-pom
Alleged developer
unknown-large-language-model-developers, unknown-deepfake-technology-developers, openai
Alleged harmed parties
western-companies, web3, ssa, social-security-administration, recruitment-teams, oleksandr-didenko, macos-users, jiho-han, irs, interviewees, internal-revenue-service, human-resources-staff, hiring-managers, haoran-xu, employers, developers, cryptocurrency-platforms, companies-in-the-united-states, chunji-jin, blockchain-projects, andrew-m., epistemic-integrity, truth, national-security-and-intelligence-stakeholders

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1118

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

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