
0DIN Expands: From Inference to Agency
0DIN (Mozilla's AI bug bounty program) announces it is expanding scope beyond inference-layer jailbreaks to agentic AI vulnerabilities — covering 29 products across coding agents, agentic browsers, enterprise agents, and general-purpose agents from OpenAI, Anthropic, Google, Microsoft, Salesforce, Amazon and others. It introduces a new evaluation rubric for agentic submissions (violation class, impact severity, attack vector, scope) mapped to the OWASP Top 10 for Agentic Applications, and raises the bar for inference jailbreaks by requiring retargetability across two JEF-tested boundaries. The post cites real incidents including a Cursor agent token exfiltration, a malicious GitHub MCP integration issue, a rogue MCP server leaking WhatsApp histories, and CVE-2025-68664 (LangGrinch) affecting 847M LangChain downloads.
What it is
0DIN (Mozilla's AI bug bounty program) has opened a new submission class for agentic AI vulnerabilities — prompt injections that cause data exfiltration, arbitrary writes, or code/command execution — alongside a tightened bar for inference-layer jailbreaks. The value here for a would-be submitter is the eligibility rules, which the summary does not spell out.
How it works (scoring model)
Agentic submissions are not scored with JEF (which is retained only for inference jailbreaks). They are graded on four axes:
- Violation class — the security boundary crossed.
- Impact severity — three tiers, and all qualifying submissions must involve private data. A single leaked file scores far below a full-database exfiltration.
- Attack vector — zero-click (no human interaction) ranks highest; social-engineering delivery ranks lower.
- Scope — single product < product class (e.g. "all MCP-enabled coding agents") < cross-platform (multiple vendors/categories).
Top payouts go to the intersection: high-impact + zero-click + cross-platform. Their worked example is a prompt injection in a GitHub issue that any MCP-connected coding agent exfiltrates repo secrets from with no user action beyond reviewing the issue.
Eligibility constraints (the actionable part)
- Attacks requiring explicit instruction are ineligible — e.g. anything of the form "paste this prompt into your agent" earns no bounty.
- Agentic scope maps to specific OWASP Top 10 for Agentic Applications categories (published Dec 2025): ASI01 Goal Hijacking, ASI02 Tool Misuse, ASI03 Identity & Privilege Abuse, ASI05 Unexpected Code Execution, ASI06 Memory & Context Poisoning. If your finding doesn't fit one of these, expect it out of scope.
- Inference jailbreaks now require retargetability across at least two JEF-tested boundaries — a single-boundary jailbreak no longer qualifies.
Preconditions / Affected
In scope: 29 products across coding agents, agentic browsers, enterprise agents, and general-purpose agents (OpenAI, Anthropic, Google, Microsoft, Salesforce, Amazon, and others). The blog does not list the 29 — the authoritative list is at 0din.ai/scope, which you must check before investing effort.
Caveats
- The post cuts off mid-section on the inference-jailbreak changes; full retargetability criteria aren't in the excerpt.
- The incident cited to justify severity (LangGrinch, CVE-2025-68664, CVSS 9.3, 847M LangChain downloads) is context, not itself in-scope for this program.
- Concrete bounty figures are not given — only relative calibration.
Organisations named here
- LangGrinch
CVEs named here
- CVE-2025-68664
Technologies named here
- Cursor
- 0DIN
- GitHub MCP integration
- JEF
- LangChain
- OpenAI Codex
- OpenAI Operator
- Anthropic Claude Code
- Anthropic Computer Use
- Google Antigravity
- Salesforce Agentforce
- Devin
- Copilot
- Claude Code
- GitHub MCP
- Codex
- OWASP Top 10 for Agentic Applications
- Operator
Techniques named here
- Prompt Injection
- Data exfiltration
- Arbitrary writes
- Arbitrary code or command execution
- Tool poisoning / MCP attacks
- Guardrail jailbreak
- ASI01 Agent Goal Hijacking
- ASI02 Tool Misuse
- ASI03 Identity & Privilege Abuse
- ASI05 Unexpected Code Execution
- ASI06
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