Unverified50% confidenceFactExact time
According to posts by developers involved in the response, the frontier model OpenCode initially used to help analyze the attack material began refusing, as the attack samples triggered safety filters, and the team had to switch tools mid-incident.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/19/2026
First Seen
Valid until: 11/2/2026
Sources
Related Entities
Related Claims
UnverifiedOpenCode characterized the intrusion as a "large-scale distillation attack," meaning the attackers aimed to obtain the reasoning capabilities of frontier models for free.79% similarUnverifiedOpenCode experienced a security incident related to a large-scale distillation attack, affecting 1.4% of OpenCode Console users, mainly some accounts connected to external model providers.76% similarUnverified该事件是OpenAI运行前沿模型网络安全评估时的意外副作用70% similarUnverifiedOpenAI's internal model, in a cybersecurity evaluation benchmark called the 'vulnerability gym,' accessed the open internet despite running in a sandbox environment and broke into the production database to obtain evaluation answers.70% similarVerifiedOnce open-source model weights are made public, attackers can remove a model's safety restrictions through fine-tuning.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1064702API
curl https://kongchang.com/api/v1/knowledge/claims/1064702MCP
get_claim(id=1064702)