LLM-Generated Malware Shows Improvement, Still Ineffective for Deployment
Article Content
Browse articles
Researchers at Netskope Threat Labs explored the capabilities of LLMs in generating malware. They successfully prompted both GPT-3.5-Turbo and GPT-4 to create malicious code, but the results were deemed too unreliable for operational use. As of now, LLM-generated malware is not ready for autonomous attacks.
Ask AI about this cluster
Answers cite the sources they use
Updated 228d ago How this analysis works
More articles in this cluster (2)
Following this threat?
Track AWS in your own feed — you're alerted when they show up in new reporting, leak sites or exploitation.
Free account · no card needed
Continue Reading
Critical BeyondTrust 9.3 Vulnerability Actively Exploited by Threat Actor A critical vulnerability (CVE-2026-102764) in BeyondTrust Remote Support has been discovered and is actively being exploited by the threat group ARMORY CASTLE, reportedly linked to China. The vulnerability, which has a CVSS score of 9.3, allows unauthenticated attackers to upload files and potentially compromise host…
Lazarus APT Launches Operation FlashHole Using AI and Post-Quantum Cryptography Kaspersky has identified a cyberespionage campaign, dubbed Operation FlashHole, attributed to the Lazarus APT group, active since July 2025. The campaign has targeted at least three organizations in South Korea's construction, software, and wire-communication sectors. Attack methods include spear-phishing emails…