The 90-Day Window Closed. Nobody Sent a Notice.

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TL;DR

The 90-day coordinated disclosure window has effectively ended, with no notices sent by vendors or researchers. This shift is driven by AI-driven vulnerability discovery, which accelerates exploit development and erodes traditional defense timelines.

Organizations and security researchers did not send any notices or disclosures within the 90-day window following the public release of the Linux kernel patch for the Copy Fail vulnerability on April 29, 2026, signaling a shift in the traditional vulnerability disclosure process.

The Linux kernel patch for Copy Fail was committed on April 1, 2026, and made public on April 29. During the four-week window, the patch was publicly available, enabling AI-driven systems to analyze and potentially develop exploits in minutes, rather than days or weeks. No coordinated or private notices from vendors or researchers have been observed, marking the end of the conventional 90-day disclosure period.

This change is driven by advances in AI, such as Theori’s Xint Code, which can rapidly analyze code commits, identify security implications, and generate exploits with minimal human input. As a result, the traditional advantage for defenders—time to patch before exploits become widespread—has been significantly diminished. The collapse of the knowledge floor for discovering vulnerabilities and the shift toward trust-boundary failures at integration points further complicate defensive efforts.

The 90-Day Window Closed. Nobody Sent a Notice.
DISPATCH / MAY 2026 SECURITY · DISCLOSURE COLLAPSE · COMMIT MONITORING · PART 2
▲ Part 2 · Security Disclosure Closed · May 2026
Software Security · Part 2 · The Disclosure Collapse

The 90-day window closed.
Nobody sent a notice.

The commit-monitoring window. The knowledge floor. And what Vercel and Canvas reveal about where the bugs actually live.

Copy Fail’s mainline patch landed April 1. Public disclosure was April 29. The 28 days between commit and disclosure are the dangerous window — AI can rediscover the bug from the diff in minutes, while distribution patches take 2-8 weeks to reach end-user systems. Three asymmetries compound: time, expertise, knowledge category. Defender disadvantage compounds across all three.

▲ THE THREE ASYMMETRIES · ALL FAVOR THE ATTACKER NOW
Asymmetry 01
Time
90-day window collapses to diff-to-exploit minutes. Distribution lag becomes the structural vulnerability window.
Asymmetry 02
Expertise
5-10 year apprenticeship pipeline collapses to “find a security vulnerability” prompt + API access.
Asymmetry 03
Category
Memory safety → trust-boundary composition. Defensive infrastructure built for the wrong layer.
Defender disadvantage compounds across all three. Faster exploitation + more attackers + harder vulnerability category with less mature defense.
28days
Copy Fail · mainline commit → public disclosure
Apr 1 commit · Apr 29 disclosure · the dangerous window
$2M
Vercel customer data · BreachForums asking price
OAuth supply chain · Context.ai → Google Workspace
275M
Canvas records exfiltrated · ~9,000 institutions
ShinyHunters · Free-For-Teacher vulnerability · 3.65 TB
“find it”
Mythos prompt complexity · no security training
“Please find a security vulnerability in this program”
28-DAY WINDOW COPY FAIL MAINLINE COMMIT APR 1 → DISCLOSURE APR 29 · BUG REDISCOVERABLE FROM DIFF VERCEL APR 19 CONTEXT.AI → OAUTH → GOOGLE WORKSPACE → VERCEL ENV VARS → $2M BREACHFORUMS CANVAS MAY 1-12 SHINYHUNTERS · 275M RECORDS · 9,000 INSTITUTIONS · FINALS WEEK OUTAGE KNOWLEDGE FLOOR “PLEASE FIND A SECURITY VULNERABILITY” · NO TRAINING REQUIRED · ENGINEERS PRODUCED WORKING EXPLOITS DISTRIBUTION LAG MAINLINE → STABLE → DISTRO PACKAGE → DEPLOY · 2-8 WEEKS TYPICAL · LEGACY: NEVER CATEGORY SHIFT OAUTH SCOPES · SAAS TRUST · ENV VARS · FREE-TIER ABUSE · NOT MEMORY SAFETY 28-DAY WINDOW COPY FAIL · APR 1 COMMIT → APR 29 DISCLOSURE · BUG REDISCOVERABLE FROM DIFF
Asymmetry 01 · time · the commit-monitoring window

The patch is now the disclosure event.

Responsible disclosure orthodoxy: bug stays private until vendor patches. For open source, this has never been fully true — git commits are public in real-time. Copy Fail’s mainline patch landed April 1. Public disclosure was April 29. The 28 days between are the dangerous window.

Copy Fail · the disclosure-to-deployment timeline
Mainline commit is public from the moment it lands. Distribution propagation takes 2-8 weeks. AI processes the diff in minutes.
Apr 1 mainline ~Apr 10 stable Apr 29 disclosure Apr 30-May 7 distro patches +weeks deployed 28-day commit-to-disclosure window AI rediscovers from public diff PATCH IS PUBLIC · BUG IS PUBLIC · NO DEFENDER WARNING deployment lag unpatched systems exposed LONG TAIL · LEGACY · MONTHS+ AI watches every kernel commit “DOES THIS COMMIT FIX A SECURITY ISSUE?”
Apr 12026
Mainline commit lands. Linux kernel git tree publishes fafe0fa2995a reverting the 2017 in-place AEAD optimization. Patch is now public.
PUBLIC
INSTANT
~Apr 102026
Stable kernel backports. Greg KH’s stable trees include the patch. Still: no distribution package yet · no end-user deployment.
STABLE
TREES
Apr 292026
Public disclosure by Theori. CVE-2026-31431 announced. Most defenders learn of the bug 28 days after the patch was public on kernel.org.
CVE
PUBLIC
Apr 30 → May 72026
Distribution packages. Ubuntu, Amazon Linux, RHEL, SUSE, Debian, Fedora, Arch ship patched kernel packages. Each on its own schedule.
PACKAGES
AVAILABLE
+weeks → +months2026
End-user deployment. 30-day patch SLA · slower for regulated environments · effectively never for legacy systems without security updates.
DEPLOYED
SLOWLY
The 90-day window assumed private patches. Open-source patches are public from minute zero. The framework is misaligned with the capability landscape.
Asymmetry 02 · expertise · the knowledge floor collapse
Amazon

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“Please find a security vulnerability.”
No training required.

The historical pipeline for becoming a top-tier vulnerability researcher took 5-10 years of human apprenticeship. Kernel internals. Processor architecture. Exploit-mitigation-bypass craft. Decompiler-output reading. All baked into frontier model training data.

The knowledge floor · before AI / now
Who can do vulnerability research. Pool of capable actors expands by orders of magnitude.
▲ Before · 2015-2023
Senior researcher path
  • CS degree with security specialization
  • 3-5 years red team / CTF / firm experience
  • 2-3 years senior research with reportable findings
  • Tacit knowledge: kernel internals, decompiler output reading, exploit-mitigation-bypass craft
  • Global pool: ~200-500 senior researchers per decade
  • Apprenticeship: mentored by existing experts
▲ Now · 2026
API access + one prompt
  • Frontier model API access ($20-200/month for individuals)
  • One prompt: “Please find a security vulnerability”
  • No security training required (Anthropic / AISI / CETaS verified)
  • Tacit knowledge baked in from model training
  • Pool of capable actors: millions globally
  • Bottleneck: willingness to use it, not skill

The prompt Anthropic used to discover vulnerabilities with Mythos “essentially amounted to ‘Please find a security vulnerability in this program.'” Engineers with no formal security training were able to generate complete, working exploits.

— Alan Turing Institute · CETaS · Claude Mythos cybersecurity analysis
Asymmetry 03 · category · where the bugs actually live
IoT Software Vulnerability Detection Technology(Chinese Edition)

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Memory safety isn’t where the breaches happen anymore.

Decades of defensive infrastructure built around memory safety (ASLR, NX bits, CFI, stack canaries). The most consequential breaches of April-May 2026 are not memory-safety bugs. They are trust-boundary failures at integration seams.

Two case studies · April-May 2026
No memory corruption. No kernel exploit. Trust-boundary composition failures. Mature defensive infrastructure for memory safety doesn’t apply here.

The bugs that matter most have shifted from memory safety to trust-boundary composition. OAuth scopes. SaaS-to-SaaS authentication. Multi-tier account models. Third-party app permissions. Environment variable handling. Defensive tooling for this layer is 5-7 years behind memory-safety discipline.

▲ CASE 01 · APR 19 2026
Vercel · the OAuth supply chain attack
$2MBreachForums asking price
Chain: Lumma Stealer infected Context.ai employee (Feb 2026) → harvested Google Workspace OAuth tokens → attacker used token to access Vercel employee Google Workspace → pivoted into Vercel account → enumerated and decrypted non-sensitive env variables → exfiltrated customer credentials → posted database on BreachForums.
Pattern: third-party AI tool → OAuth → identity → platform → customer secrets
▲ CASE 02 · APR 30 – MAY 12 2026
Canvas / Instructure · free-tier abuse + extortion
275Mrecords · 3.65 TB · ~9,000 institutions
Chain: ShinyHunters found vulnerability in Canvas Free-For-Teacher account mechanism → exfiltrated 3.65 TB across 275M records → ransom negotiations stalled → defaced ~330 institution login portals during finals week → school-by-school extortion through May 12. Names, emails, student IDs, private inbox messages exposed.
Pattern: free-tier authorization flaw → mass data exfiltration → multi-tier extortion

Defensive infrastructure for memory safety is 25+ years mature. Defensive infrastructure for trust-boundary composition is 5-7 years behind. AI-driven discovery operates at both layers — with less mature defenders at the layer that matters more for 2026 breaches.

Operational response · four audiences
Amazon

AI-based code analysis tools

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The defensive infrastructure that worked last decade doesn’t work at the same level now.

Adaptation is necessary. The 18-36 month window where defenders can build the necessary infrastructure is open. Asymmetric cost-of-being-wrong applies: capacity built is useful; capacity not built is structural vulnerability.

Operational response · by stakeholder
Calibrated to the new asymmetries · not to the historical defensive playbook.
▲ FOR CISOs
+ SECURITY TEAMS
Monitor upstream commits. Compress patch SLAs.
Implement upstream commit monitoring for kernels and critical software. Subscribe to mainline security lists. Evaluate suspicious commits with internal AI tooling. Target 72-hour deployment for kernel patches, 7-day for major apps, 14-day for everything else. Audit OAuth permission landscape. Treat SaaS supply chain as tier-1 infrastructure.
▲ FOR SOFTWARE
PUBLISHERS
Your commits document where your bugs are.
Security-shaped commits are findable by AI. Move toward private bug coordination for high-severity findings. Some vendors batch security fixes into general patches (Apple, Microsoft); open source structurally harder but worth attention. Run AI-driven discovery against your own codebase first — be first to know.
▲ FOR
POLICYMAKERS
Disclosure framework needs explicit policy attention.
Responsible disclosure is voluntary social technology that worked in the previous regime. Mandated disclosure standards, vendor patch SLA requirements, updated CVE management infrastructure. Linux distribution lag is a public-interest concern for critical infrastructure. OAuth/SaaS governance is a regulatory blind spot — Vercel is one of many March-April 2026 supply chain breaches.
▲ FOR
EVERYONE ELSE
Two-factor everything. Watch your OAuth grants.
Authenticator apps, not SMS. Passkeys where available. Aggressive credential rotation. Assume your SaaS providers will be breached — have a rotation playbook. Be wary of “Allow All” OAuth grants, especially for AI productivity tools requesting broad email/drive/calendar access. The Vercel chain started here.

The 90-day window collapsed. The knowledge floor collapsed. The bugs moved layers. Three asymmetries compound. The 18-36 month window where defenders can build the necessary infrastructure is open.

— Software security · the disclosure collapse · Part 2 · May 2026
Source dossier · the receipts
  • 732 Bytes to Root · the cost-curve collapse · Part 1
  • Theori / Xint Code · Copy Fail: 732 Bytes to Root · xint.io · Apr 29 2026
  • Linux kernel mainline patch · commit fafe0fa2995a · Apr 1 2026
  • CVE-2026-31431 · NVD · CVSS 7.8 (High) · CISA KEV listed
  • Project Zero · 90-day coordinated disclosure policy · 2014
  • Vercel Security Bulletin · April 2026 · vercel.com/kb/bulletin/vercel-april-2026-security-incident
  • Trend Micro · The Vercel Breach: OAuth Supply Chain Attack · Apr 21 2026
  • The Hacker News · Vercel Breach Tied to Context AI Hack
  • TechCrunch · Zack Whittaker · App host Vercel says it was hacked · Apr 20 2026
  • Hudson Rock · Context.ai Lumma Stealer compromise · Feb 2026
  • BleepingComputer · Vercel breach disclosure · Apr 19 2026
  • Instructure security incident · official disclosures · May 1-12 2026
  • Halcyon · Education Sector in the Crosshairs: ShinyHunters’ Extortion Campaign Against Instructure
  • Wikipedia · 2026 Canvas security incident · ongoing as of May 12 2026
  • CNN · Canvas hack: What we know · May 2026
  • Hackread · ShinyHunters Instructure + Vimeo breaches · May 2026
  • Anthropic Claude Mythos Preview System Card · Apr 7 2026
  • Alan Turing Institute / CETaS · Claude Mythos cybersecurity analysis
  • UK AI Security Institute · Mythos cyber capability evaluation
Colophon · Part 2

Set in Source Serif 4, IBM Plex Sans, & IBM Plex Mono. Security-advisory aesthetic. Free to embed with attribution.

thorstenmeyerai.com

Software security · the disclosure collapse · Part 2 of 2 · May 2026

28 days · 275M records · $2M · “find it”

Artificial Intelligence for Cybersecurity: How AI Detects Cyber Threats, Prevents Hacking, and Protects Your Data, Identity, and Smart Devices (AI Cybersecurity Mastery Series)

Artificial Intelligence for Cybersecurity: How AI Detects Cyber Threats, Prevents Hacking, and Protects Your Data, Identity, and Smart Devices (AI Cybersecurity Mastery Series)

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Implications of the Disappearance of the 90-Day Window

This development fundamentally alters cybersecurity dynamics, favoring attackers who can now weaponize vulnerabilities immediately after patches are released. It challenges existing defensive strategies, which relied on the assumption that defenders would have a window to deploy patches before exploits emerge publicly. The shift also indicates that vulnerabilities are increasingly found at the integration and trust boundary layers, where traditional memory-safety defenses are less effective, and AI-driven discovery accelerates exploit development.

Background on Responsible Disclosure and Its Changing Landscape

The 90-day coordinated disclosure window, established in the early 2000s and popularized by Google Project Zero in 2014, was designed to balance the interests of researchers and vendors. It provided a period for vendors to develop patches before vulnerabilities were disclosed publicly. However, recent technological advances—particularly AI systems capable of rapid code analysis and exploit generation—have rendered this window obsolete. The April 2026 disclosures, including the Linux kernel patch for Copy Fail, exemplify how AI can bypass traditional timelines, making the disclosure window effectively meaningless.

“The collapse of the 90-day window marks a new era where attackers can weaponize vulnerabilities immediately after patches are public, fundamentally changing cybersecurity defense strategies.”

— Thorsten Meyer

Unclear Impact and Future of Vulnerability Disclosure

It is not yet clear how widespread the practice of silent exploitation has become or whether organizations will adopt new disclosure norms. The long-term effects on cybersecurity policy, legal frameworks, and international coordination remain uncertain as AI-driven exploits become more prevalent and immediate.

Next Steps for Cybersecurity Practices and Policies

Stakeholders are likely to reevaluate disclosure policies, with some considering mandatory reporting or new frameworks to address AI-facilitated vulnerabilities. Monitoring trends in exploit development and patch deployment will be critical, alongside efforts to strengthen security at trust boundaries. Further research and policy discussions are expected in the coming months to adapt to this rapidly changing landscape.

Key Questions

Why did no notices get sent within the 90-day window?

Advances in AI allow attackers to analyze patches and develop exploits almost immediately, making the traditional 90-day window obsolete and reducing the incentive for private disclosure.

What does this mean for software vendors and organizations?

They may face increased risk of undisclosed exploits being weaponized quickly after patches are released, requiring new strategies for vulnerability management and threat detection.

Will the responsible disclosure process still exist?

It is uncertain; the traditional model is under strain, and new policies or norms may emerge to address AI’s impact on vulnerability disclosure and exploitation.

How does AI accelerate exploit development?

AI systems can analyze code commits, identify security implications, and generate exploits in minutes, significantly reducing the time from patch release to weaponization.

What vulnerabilities are most concerning now?

Trust boundary failures at integration points, such as OAuth scopes and SaaS-to-SaaS authentication, are increasingly exploited, as they are less protected by traditional memory-safety defenses.

Source: ThorstenMeyerAI.com

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