Researcher Flags Coordinated-Disclosure Challenges in LLM Age
Greg Dahlman wrote on the oss-sec mailing list on April 28, 2026 that he has struggled with the ethics of releasing a proof-of-concept discussed on the list and offered feedback on coordinated disclosure in the age of large language models. Dahlman wrote that most model providers are following what he called a "common dark pattern" of implicitly opting non-enterprise users into data collection for training, and he argued the "maximum acceptable embargo period" for issues disclosed to these lists is 14 days, a window he contrasted with model training timelines. Dahlman quoted Cursor's security docs, including "Right now, the agent can read files without confirmation. That's the current behavior by design, and it's described in the security docs." He also noted differences in discovery cost, citing an example of someone using Qwen3.6-35B-A3B on consumer hardware versus a provider incurring large token costs. Editorial analysis: The thread highlights practical tension between short disclosure windows and longer model-training cycles for practitioners and defenders.
What happened
Greg Dahlman posted to the oss-sec mailing list on April 28, 2026 with feedback about the ethics of releasing a proof-of-concept discussed on the list, and he enumerated several disclosure concerns reported to the list. Dahlman wrote that most model providers are following a "common dark pattern" of implicitly opting in non-enterprise users into data collection for training, and he recommended a "maximum acceptable embargo period" of 14 days for issues disclosed to these lists, calling 90 days for upstream disclosure likely too short to be a primary concern in some cases. Dahlman quoted Cursor: "Right now, the agent can read files without confirmation. That's the current behavior by design, and it's described in the security docs. The read restriction only applies to files listed in .cursorignore."
Editorial analysis - technical context
Large language models change the economics of vulnerability discovery and reporting by lowering search and pattern-matching costs for researchers and adversaries alike. Industry-pattern observations note that trained models use large corpora assembled over long periods, so a short public-disclosure window can overlap with ongoing data collection and model updates. That overlap raises questions about whether vulnerabilities or sensitive POC code enter training corpora before fixes are widely deployed.
Context and significance
For security practitioners, the thread underscores friction between traditional coordinated-disclosure norms and the operational realities of modern model providers and agent tooling. Observers have documented similar debates about data residency, telemetry opt-in, and the visibility of ephemeral prompts, all of which affect triage and mitigation work.
What to watch
Monitor changes to provider data-collection and disclosure policies, security-doc updates for agent frameworks like Cursor, and further community discussion on acceptable embargo windows on oss-sec and related lists. For practitioners: track whether providers publish explicit statements about training data ingestion timelines and embargo handling.
Scoring Rationale
The thread raises a notable operational issue for security researchers and practitioners who interact with LLMs and agent tooling, but it is a community discussion rather than a policy or vendor-level change. The topic is immediately relevant to defenders and disclosure workflows.
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