North Korea relies upon a network of skilled Information Technology (IT) workers, deployed within and outside of North Korea, to obtain false identities and remotely earn income to fund North Korea’s unlawful nuclear weapons and ballistic missile programs.
North Korean IT workers impersonate nationals of other countries to obtain work and income through online platforms operated by private companies for employment, procurement, and contracting of services. These workers seek out contracts with the intent of remitting their salaries to their parent North Korean agencies. They also pose an insider threat to companies and are involved in data exfiltration, cryptocurrency theft, and theft of sensitive information. North Korean IT workers employ increasingly sophisticated methods, including the integration of AI, to obfuscate their identities and expand their activities globally.
Read more…
Source: U.S. Federal Bureau of Investigation Cyber Division
Sign up for the Cyber Security Review Newsletter
The latest cyber security news and insights delivered right to your inbox
Related:
- Over 100,000 UK Police and staff have personal data leaked in attack on national database
August 4, 2026
The UK’s Police National Legal Database (PNLD) suffered a cyberattack recently, in which it allegedly lost sensitive data on more than 100,000 criminal justice professionals. In a short press release, PNLD confirmed the breach, saying it happened over a weekend. The threat actors, which were not named in the announcement, were said to have taken names, organizations, and ...
- Feds get 3 days to patch N-able God mode flaw under active exploit
August 4, 2026
The US Cybersecurity and Infrastructure Security Agency (CISA) has added an exploited N-able vulnerability to its Known Exploited Vulnerabilities (KEV) catalog, giving federal agencies three days to patch a flaw that could let attackers reach managed service provider (MSP) customers. Attackers exploiting the flaw can gain “full administrative access to an N-central console,” Tracked as CVE-2026-18577 (8.2 ...
- Pass the Passkey: A Novel Attack Surface in Passwordless Authentication
August 3, 2026
This article analyzes new attack classes against passwordless authentication, focusing on Google’s synced passkey ecosystem and the Cloud Authenticator used by desktop clients. The attacks demonstrate how malware on a compromised endpoint can misuse onboarding, recovery and device trust workflows to take over passkey-protected accounts. Palo Alto Unit 42 shows how an attacker can authenticate ...
- INTERPOL report finds AI linked to more than half of cybercrime in Africa
August 3, 2026
Artificial intelligence is enabling 55 per cent of reported cybercrimes across Africa making attacks faster, more scalable, and increasingly difficult for victims and platforms to detect, according to INTERPOL’s African Cyberthreat Assessment Report 2026. With more than 1.1 billion mobile subscribers recorded in 2025, Africa’s digital transformation is expanding rapidly. However, cybercrime legislation is fragmented and AI readiness ...
- Midnight Blizzard targets travelers worldwide for malware delivery and credential theft
July 31, 2026
Since early May 2026, Microsoft Threat Intelligence has observed Storm-2945, a sub-cluster of Midnight Blizzard, conducting widespread but targeted traffic manipulation attacks involving hospitality sector networks served by captive portals worldwide. Despite some tactic, technique, and procedure (TTP) similarities to the Forest Blizzard DNS hijacking operation that we publicly disclosed in April 2026, we attribute this campaign, ...
- Network Anomaly Detection in KATA
July 31, 2026
Once the attacker has breached the corporate network, subsequent stages of the attack often involve leveraging standard domain infrastructure protocols: using Kerberos, running DNS queries, accessing internal services, opening network shares, and other common networking actions. Because this activity is virtually indistinguishable from legitimate network traffic, it is extremely difficult to detect it with traditional ...

