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🤿Deep Dive: Claude Opus 4.6 discovers 22 Firefox vulnerabilities in 2 weeks

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🤿Deep Dive: OpenAI launches Codex Security in research preview as an agentic application security tool

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🤿Deep Dive: Anthropic introduces Claude Marketplace

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Claude scanned nearly 6,000 C++ files, submitted 112 unique reports, and identified its first Use After Free vulnerability in Firefox's JavaScript engine within just twenty minutes, with fixes shipped to hundreds of millions of users in Firefox 148.0. The collaboration also revealed a meaningful capability gap: while Claude excels at finding vulnerabilities, it was only able to turn bugs into working exploits in two out of several hundred attempts, giving defenders a significant but time-limited advantage.

Claude's approach relied on task verifiers, trusted tools that give the agent real-time feedback as it explores a codebase, letting it confirm whether a proposed fix removes the vulnerability without breaking existing functionality, a method Anthropic identifies as the single most effective lever for improving both vulnerability discovery and patch quality.

To test exploitation capabilities, Anthropic spent approximately $4,000 in API credits running hundreds of attempts to turn discovered bugs into working exploits, succeeding in only two cases and only in a controlled environment with browser sandbox protections deliberately disabled underscoring that Firefox's defense-in-depth would have contained these particular attacks.

Mozilla's triage process shaped how the research was submitted, with the Firefox team identifying three components critical to trusting AI-generated reports; minimal test cases, detailed proofs-of-concept, and candidate patches, a framework Anthropic now recommends as standard practice for any researcher using LLM-powered vulnerability tools.

Beyond Firefox, Claude Opus 4.6 has been used to find vulnerabilities in the Linux kernel and other critical open-source projects, and Anthropic is launching Claude Code Security in limited research preview to bring vulnerability discovery and patching directly to customers and open-source maintainers before the exploitation gap narrows further.

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 Codex Security builds a project-specific threat model after analyzing a repository's security-relevant structure, capturing what the system does, what it trusts, and where it is most exposed and lets teams edit that model over time so the agent stays aligned with evolving architecture and risk priorities.

Where possible, the agent pressure-tests findings in sandboxed validation environments to distinguish real issues from speculative ones, and when configured with a project-specific runtime environment, can produce working proof-of-concepts that give security teams stronger evidence and a faster path to remediation.

Codex Security reported critical vulnerabilities to a range of widely used open-source projects including OpenSSH, GnuTLS, PHP, and Chromium, with 14 CVEs assigned shaped directly by maintainer feedback that the bigger problem in open-source security isn't a lack of reports but an excess of low-quality ones.

The system learns from user feedback over time, using adjustments to finding criticality to refine its threat model and improve precision on subsequent scans, while OpenAI is expanding its Codex for OSS program to give open-source maintainers free access to Pro and Plus accounts, code review, and Codex Security as part of their normal workflow.

Over its beta period, the tool cut noise by 84% on repeat scans of the same repositories, reduced over-reported severity findings by more than 90%, and lowered false positive rates by over 50%, addressing the core complaint from security teams and open-source maintainers that AI security tooling generates more triage burden than value. In the last 30 days.

Codex Security scanned more than 1.2 million commits, surfacing 792 critical findings while keeping critical issue rates under 0.1% of scanned commits.

By letting enterprises apply existing spend commitments toward partner tools without managing separate invoicing, Anthropic is reducing one of the most friction-heavy steps in enterprise AI procurement, the multi-vendor approval process, while keeping Claude at the center of how those tools are accessed and orchestrated.

Unlike OpenAI's ChatGPT App Directory, which launched in December 2025 with a retail and consumer focus, Claude Marketplace is targeting enterprise-specific workflows from the start, though adoption questions remain given that Claude already supports direct integrations, MCP connections, and custom agent builds that overlap significantly with what Marketplace partners provide.

Observers noted that Claude Marketplace could allow enterprises to use Claude as an orchestrator, a command center that routes to the right partner tool with the right context automatically while also giving procurement teams a way to pre-approve AI applications, bypassing the cautious approval cycles that often slow AI adoption inside large organizations.

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