Module 01 · Subsection B

CVE & CVSS

A bug is just a bug until somebody gives it a name and a number. The CVE program names them; the CVSS framework scores them. Together they are how the world tracks which holes in our software are open right now — and the volume is about to change in ways the system was never designed to absorb.

Two systems, doing different jobs

CVE · Common Vulnerabilities and Exposures
A public catalog that gives every known software vulnerability a unique, stable identifier (e.g. CVE-2024-3094). Run by MITRE under U.S. CISA sponsorship since 1999.
CVSS · Common Vulnerability Scoring System
A framework for translating a vulnerability into a 0.0–10.0 numeric severity score and a qualitative rating (None / Low / Medium / High / Critical). Maintained by FIRST.org; current version 4.0 (2023).

The CVE answers which one are we talking about. The CVSS answers how bad is it. A vulnerability scan, a patch ticket, a CISA Known Exploited Vulnerabilities (KEV) entry, an NVD page — each one cites the CVE and the CVSS together. Learn this vocabulary once and the entire vulnerability-management ecosystem becomes readable.

How we got here

Before 1999, every security vendor had its own internal name for the same bug. A flaw in BIND would be tracked as ISS-4023, BugTraq #1234, Symantec ID 7717, and ASB-99-19 simultaneously — with no reliable way to know they were the same issue. David E. Mann and Steven M. Christey of MITRE proposed a shared, public, neutrally-named index. The first CVE list was released in September 1999 with 321 entries.

Sep 1999
CVE program launched. First list: 321 entries. Single editorial board at MITRE.
2005
CVSS v1.0 published by NIAC. First serious attempt to give vulnerabilities a comparable numeric score across vendors.
2007
CVSS v2.0. The version most security teams cut their teeth on.
2015
CVSS v3.0 / v3.1. Added Scope and refined the Impact metrics; reflected the reality of sandbox escapes and lateral movement.
2016
CNA program opened up: CVE Numbering Authorities let vendors assign their own CVE IDs. Volume climbs accordingly.
Nov 2023
CVSS v4.0. Replaced Temporal metrics with Threat metrics; added Supplemental metrics and a much richer Environmental group.
Feb 2024
The Linux Kernel becomes a CNA. Volume climbs dramatically.
Apr 2026
Anthropic announces Claude Mythos Preview. One model finds and exploits more zero-days in a red-team exercise than the entire 2025 disclosure year combined. (See section below.)

How CVSS actually works

CVSS v4.0 organizes a vulnerability's characteristics into four metric groups. Most published scores are Base scores only — the intrinsic properties that don't change between organizations.

The severity bands

None0.0
Low0.1–3.9
Medium4.0–6.9
High7.0–8.9
Critical9.0–10.0

Try the Base calculator

Adjust the metrics; watch the score and vector string update.

CVSS v3.1 Base Calculator
simplified pedagogical model
Attack Vector (AV)
Attack Complexity (AC)
Privileges Required (PR)
User Interaction (UI)
Scope (S)
Confidentiality Impact (C)
Integrity Impact (I)
Availability Impact (A)
SELECT METRICS
CVSS:3.1/AV:_/AC:_/PR:_/UI:_/S:_/C:_/I:_/A:_
Pick a metric value in every row, or load a preset above.

The numbers, 1999 to 2025

Every bar is one calendar year's published CVE total. Hover any bar for the count. Two visible inflections explain most of what you see: NVD methodology changes in 2017, and the Linux Kernel becoming a CVE Numbering Authority in February 2024.

321
First-day count
Sep 1999
~308,920
Cumulative
1999–2025
40,009
Published in
2024
48,185
Published in
2025
CVE Records Published per Yearlinear scale · hover/tap bars
↔ swipe to scroll the chart
Tap or hover a bar.
annual total
inflection year (2017 NVD methodology / 2024 Linux Kernel CNA)
2026 forecast (FIRST median estimate)

Three things to notice. First, the long climb from a few hundred per year through the mid-2010s reflects the steady professionalization of vulnerability research: more researchers, more bug-bounty programs, more CNAs. Second, the 2017 jump is largely a counting change — NVD started recording vulnerabilities it had previously rolled together. Third, the 2024 jump (+38% year over year) is mostly the Linux Kernel becoming a CNA in February 2024, suddenly publishing CVEs for issues that had previously stayed inside kernel commit messages.

The last six months in detail

December 2025 through May 2026 — the window that ends today. Monthly bars on the same chart would be invisible at this zoom; here they are on their own scale.

Monthly CVE publications · Dec 2025 — May 2026
Verified data points: December 2025 = 5,500 CVEs (Jerry Gamblin's 2025 review — highest single month on record). 2026 daily average = ~132 CVEs/day across the public CVE program. April 1 – May 2, 2026 = 6,153 NVD records (~192/day). The intermediate January–March 2026 totals are extrapolated from those daily rates.

FIRST's 2026 forecast median is ~59,427 CVEs for the full year, with a 90% confidence band running from 30,000 to 117,000. The wide band is the key tell: forecasters openly cannot pin down the upper end, because the supply of disclosed vulnerabilities is no longer rate-limited by the number of human researchers in the world.

The Mythos inflection

April 7, 2026 · Anthropic / UK AI Security Institute

One model. One red-team exercise. More zero-days than the rest of the industry combined.

Anthropic announced Claude Mythos Preview, its most capable general-purpose model to date. In safety testing, Anthropic's red team and the UK AI Security Institute reported that Mythos was able to autonomously discover, then build working exploits for, software vulnerabilities at a rate never previously demonstrated.

271
Zero-day vulnerabilities found in Mozilla Firefox alone
181
Of those, with working exploit code produced by the model
thousands
Total zero-days reported across major OSes, browsers, and applications

Citing the risk of widespread exploitation, Anthropic did not release Mythos to the general public. Access is currently limited to roughly forty hand-picked organizations under an initiative called Project Glasswing. Anthropic itself estimates that equivalent capability will be available outside that program — including in adversarial hands — within 6 to 24 months.

The CVE program has spent a quarter of a century learning to absorb roughly the output of every security researcher in the world. The defining number above is not "thousands of zero-days." It is "one model, one exercise." Multiply by the number of well-funded research groups, security vendors, nation-state programs, and ordinary criminal enterprises who will rent equivalent capability when it ships, and the disclosure pipeline that produced 48,000 CVEs in 2025 begins to look like a footpath where a highway is needed.

Projecting the load

This isn't a forecast — it's an order-of-magnitude sanity check. Pick how many Mythos-equivalent systems are in operation, how productive each one is in zero-days per day, and how much of that output gets responsibly disclosed (rather than weaponized or hoarded). The output is what the CVE pipeline would have to absorb annually.

Back-of-envelope projection
50
3
30%
CVE filings / year
multiplier vs. 2025 baseline (48,185)

Default values (50 systems, 3 zero-days/system/day, 30% disclosed) already produce a number well above today's annual total. The point of this slider is not the precise output; it is that very ordinary assumptions about adoption produce CVE volumes the current system cannot triage, score, distribute, or patch on its existing cadence.

What breaks first

The bet for the next 24 months

The defensive answer cannot be more humans reading more CVE pages. It will be AI on both sides of the equation: AI for prioritization (KEV-style "exploited in the wild" enrichment at scale), AI for auto-patching (Project Naptime-style automated remediation), and AI for verification (formal-methods-assisted regression testing). The same capability that produces the flood is the only realistic candidate to absorb it. Cybersecurity in the late 2020s will be AI vs. AI, refereed by the humans who still have to sign off on the diff.

What to know walking out of this page

Further reading

References

Every figure on this page traces back to the following publications. Where two sources gave slightly different totals (common for early CVE years), the NVD-published number was used.

Formatted in APA 7 and grouped by topic. Pattern: Author(s). (Year). Title. Publisher. URL. Within each group, entries are alphabetized by first author's last name.

CVE counts and trends

  1. CVE Program. (n.d.). Metrics. https://www.cve.org/About/Metrics
  2. Gamblin, J. (n.d.). CVE year analysis. CVE.ICU. https://cve.icu/years.html
  3. Gamblin, J. (2026, January 1). 2025 CVE data review. https://jerrygamblin.com/2026/01/01/2025-cve-data-review/
  4. Infosecurity Magazine. (2026). FIRST forecasts record-breaking 50,000+ CVEs in 2026. https://www.infosecurity-magazine.com/news/first-forecasts-record-50000-cve/
  5. National Institute of Standards and Technology. (n.d.). NVD dashboard. National Vulnerability Database. https://nvd.nist.gov/general/nvd-dashboard
  6. Stingrai. (2026). Vulnerability statistics 2026. https://www.stingrai.io/blog/vulnerability-statistics-2026

CVSS framework

  1. Forum of Incident Response and Security Teams. (n.d.-a). Common Vulnerability Scoring System version 3.1 specification document. https://www.first.org/cvss/v3.1/specification-document
  2. Forum of Incident Response and Security Teams. (n.d.-b). Common Vulnerability Scoring System version 4.0 specification document. https://www.first.org/cvss/specification-document
  3. National Institute of Standards and Technology. (n.d.). Vulnerability metrics (CVSS). National Vulnerability Database. https://nvd.nist.gov/vuln-metrics/cvss

The Mythos disclosure

  1. Bain & Company. (2026). Claude Mythos and the AI cybersecurity wake-up call. https://www.bain.com/insights/claude-mythos-and-ai-cybersecurity-wake-up-call/
  2. Cloud Security Alliance. (n.d.). AI vulnerability discovery and containment failures: Claude Mythos. CSA Labs. https://labs.cloudsecurityalliance.org/research/ai-vuln-discovery-containment-claude-mythos-v1-0-csa-styled/
  3. Contrast Security. (n.d.). What is Mythos AI? Autonomous exploits and AppSec defense. https://www.contrastsecurity.com/glossary/mythos-ai
  4. Data Protection Report. (2026, May). When AI becomes the cyber attacker: Mythos and what comes next. https://www.dataprotectionreport.com/2026/05/when-ai-becomes-the-cyber-attacker-mythos-and-what-comes-next/
  5. The Conversation. (2026). Mythos AI is a cybersecurity threat, but it doesn't rewrite the rules of the game. https://theconversation.com/mythos-ai-is-a-cybersecurity-threat-but-it-doesnt-rewrite-the-rules-of-the-game-281268
A note on extrapolated figures. The monthly bars for January through May 2026 in “The last six months in detail” are extrapolated from the published 2026 daily rates (Stingrai, 2026), not from confirmed month-end totals. The December 2025 figure and the daily rates themselves are confirmed.