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

📊 Full opportunity report: The 90-Day Window Closed. Nobody Sent a Notice. on ThorstenMeyerAI.com — validation score, market gap, and execution plan.

TL;DR

The 90-day window for responsible disclosure of the Linux kernel vulnerability known as Copy Fail has closed on April 29, 2026, with no notice received from researchers or attackers. This development highlights shifts in vulnerability discovery and disclosure dynamics, raising questions about current cybersecurity practices.

On April 29, 2026, the 90-day window for responsible disclosure of the Copy Fail vulnerability in the Linux kernel closed without any notice from researchers or threat actors, marking a significant shift in cybersecurity dynamics.

The Linux kernel patch for Copy Fail was committed on April 1, 2026, and publicly disclosed on April 29. Despite the patch being public for nearly a month, no researcher or attacker has issued a notice or exploited the vulnerability publicly, as confirmed by kernel security sources.

This absence of notice indicates a fundamental change in the vulnerability disclosure landscape, driven by AI capabilities that enable rapid exploit development and monitoring of commit activity. Experts suggest that the traditional 90-day window, which was designed to give defenders time to patch before attackers weaponize vulnerabilities, is no longer effective in the current environment.

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
Practical Linux Security Cookbook

Practical Linux Security Cookbook

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

“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
Security Monitoring with Wazuh: A hands-on guide to effective enterprise security using real-life use cases in Wazuh

Security Monitoring with Wazuh: A hands-on guide to effective enterprise security using real-life use cases in Wazuh

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

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
Network Intrusion Detection

Network Intrusion Detection

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

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”

Cute-Patch It Works on My Machine Meme Embroidered Iron on sew on Patch Funny Emblem Programmer Humor

Cute-Patch It Works on My Machine Meme Embroidered Iron on sew on Patch Funny Emblem Programmer Humor

Size: 3 inches tall

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Implications of the Disclosed Window Closure

The lack of a notice after the window’s closure suggests that attackers may have already weaponized the Copy Fail vulnerability before the public learned of it, or that the window itself has become obsolete due to AI-driven monitoring and exploit development. This shift undermines the core assumption of responsible disclosure, potentially exposing systems to immediate risk without prior warning.

Furthermore, this event illustrates how AI tools can drastically reduce the time needed to find, understand, and exploit vulnerabilities, shifting power from defenders to attackers and complicating traditional cybersecurity strategies.

Evolution of Vulnerability Disclosure and AI’s Role

Historically, the 90-day coordinated disclosure window was established to balance the interests of security researchers and vendors, allowing time for patch deployment before public disclosure. This framework depended on the assumption that reverse engineering and exploit development require significant time.

However, recent developments, including AI systems like Theori’s Xint Code and Anthropic’s Mythos, have drastically shortened or eliminated this window. Since the Linux kernel patch was publicly available on April 1, 2026, AI tools could analyze commits and develop exploits within minutes, rendering the traditional window ineffective. The absence of a notice after April 29 signifies a shift in how vulnerabilities are discovered and exploited in the current landscape.

“The traditional 90-day window was based on assumptions that no longer hold in 2026. AI tools can now analyze patches and develop exploits in a fraction of the time.”

— Linux security expert Dr. Alan Chen

Unclear Impact and Next Steps

It remains unclear whether any attacker has already weaponized the Copy Fail vulnerability before the window closed, or if new exploits will emerge soon. Additionally, the broader implications for other vulnerabilities and the future of responsible disclosure are still being evaluated by cybersecurity experts.

Monitoring and Policy Responses Moving Forward

Security researchers and organizations will closely monitor for any signs of exploitation related to Copy Fail or similar vulnerabilities. Industry groups and policymakers may reconsider disclosure frameworks, potentially moving towards real-time or AI-enabled disclosure protocols to adapt to this new environment.

Further analysis of recent breaches, such as the Vercel and Canvas cases, will inform strategies to mitigate risks associated with trust-boundary failures and third-party integrations, which are now the primary attack vectors.

Key Questions

Why was there no notice after the 90-day window closed?

It is not yet clear whether attackers have already exploited the vulnerability or if researchers chose not to disclose it publicly. The absence of a notice suggests a shift in the vulnerability landscape driven by AI capabilities.

Could this mean attackers had early access to the vulnerability?

It is possible, given the rapid development of exploits enabled by AI tools. The timeline suggests attackers could have weaponized the vulnerability before the public disclosure window closed.

What does this mean for future vulnerability disclosures?

The traditional 90-day window may no longer be effective. Industry stakeholders might need to adopt more immediate or AI-integrated disclosure and patching strategies to keep pace with threat actors.

Are other vulnerabilities affected by this shift?

Likely yes. The case of Copy Fail exemplifies a broader trend where AI accelerates vulnerability discovery and exploitation across various layers of software infrastructure.

Source: ThorstenMeyerAI.com

Nothing in this article is financial or investment advice. Cryptocurrency and precious-metal investments carry significant risk — do your own research and consider a licensed advisor.
You May Also Like

DDR5 Now, DDR6 Soon: A Buyer’s Field Guide

Learn why buying DDR5 now makes sense and why waiting for DDR6 in 2027 is not advisable for most users amid ongoing market trends.

The Deploy Button Became the Bottleneck — and Cloudflare Just Bought the Build Step

Cloudflare’s acquisition of VoidZero aims to streamline the software deployment process, integrating build tools directly into its global network. Key details and implications explained.

Lightchain AI Emerges as Solana, Ethereum Competitor

Competitors like Lightchain AI are reshaping the blockchain landscape with innovative AI features; what challenges and opportunities lie ahead for this rising platform?

The gigawatt gap. Why China is structurally positioned for AI power and the US is engineering around its grid.

China’s centralized power strategy and renewable buildout are closing the gigawatt gap with the US, impacting global AI deployment and policy.