DeepSeek v3.1 is a technology platform tracked across 2 threat clusters and 2 intelligence report mentions on ThreatCluster. First observed November 7, 2025; most recent activity November 21, 2025.
DeepSeek v3.1 is a technology platform referenced in Cisco's analysis of large language model (LLM) vulnerabilities. The article implies that platforms leveraging LLMs, such as DeepSeek v3.1, may be exposed to iterative attacks that can undermine model safeguards and data integrity, making it a notable target in AI-enabled cybersecurity risk.
Researchers in Italy published a paper revealing that poetic prompts can effectively jailbreak large language models (LLMs). This technique, termed 'adversarial poetry,' demonstrated high attack-success rates across…
Cisco's research reveals that popular open-weight large language models (LLMs) are highly vulnerable to multi-turn prompt injection attacks. These adaptive adversarial attacks can achieve success rates exceeding 90%…