Microsoft Security Incident
The "Whisper Leak" is a novel side-channel attack targeting remote language models, allowing passive adversaries to infer sensitive conversation topics from encrypted network traffic. This is achieved by analyzing packet sizes and inter-arrival times of streaming LLM responses, which enables trained classifiers to reliably identify specific prompt topics, posing a significant privacy risk.
What Happened
The "Whisper Leak" is a novel side-channel attack targeting remote language models, allowing passive adversaries to infer sensitive conversation topics from encrypted network traffic. This is achieved by analyzing packet sizes and inter-arrival times of streaming LLM responses, which enables trained classifiers to reliably identify specific prompt topics, posing a significant privacy risk.
Why This Matters
Current evidence identifies a security issue involving Microsoft, but does not yet support a more specific impact claim.
Recommended Action
No confirmed vendor remediation is available in the current evidence. Confirm whether Microsoft is present in your environment and review the affected configuration.
Exposure
Exposure unknown
Nov 08, 2025 05:30
Exposure reason: This incident does not currently match a technology in My AI Stack.
Exploitation status: UNKNOWN
Primary entities:
Timeline
-
Incident first seen
Nov 08, 2025 05:30BugSkan first recorded this incident.
-
Microsoft Uncovers 'Whisper Leak' Attack That Identifies AI Chat Topics in Encrypted Traffic - The Hacker News
Nov 08, 2025 05:30thehackernews.com · Research
Sources
thehackernews.com · Nov 08, 2025 05:30
The "Whisper Leak" is a novel side-channel attack targeting remote language models, allowing passive adversaries to infer sensitive conversation topics from encrypted network traffic. This is achieved by analyzing packet sizes and inter-arrival times of streaming LLM responses, which enables trained classifiers to reliably identify specific prompt topics, posing a significant privacy risk.
Open publisher sourceMy AI Stack Match
Create an account to see which incidents overlap with your AI stack.