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There's only so much code: the rise in vulnerability numbers
blog.talosintelligence.comarticle

There's only so much code: the rise in vulnerability numbers

Cisco Talos analysis of why Microsoft Patch Tuesday advisories rose from about 100 a month before June 2026 to 975 in September and 1,415 in October, as frontier models such as Mythos mine old code. CVEs grew 105% year over year while CISA KEV additions grew 37%, and only three September advisories were exploited in the wild. It covers pressure on 90-day coordinated disclosure and open-source maintainers, the format string bug-class precedent, and defender advice.

TL;DR Talos explains the AI-fuelled jump in Patch Tuesday advisories, argues disclosure is not weaponization, and advises prioritising exploitable flaws and defense-in-depth.
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What it is

Cisco Talos argues that the jump in Microsoft Patch Tuesday advisories (about 100 a month before June 2026, 975 in September, 1,415 in October) comes from frontier models, Mythos in particular, working through old code in widely used libraries and tools. The authors say disclosure does not equal weaponization, so the volume alone does not signal an exploitation wave.

How it works

  • The page says the models have not found a new vulnerability class. They find known types faster and more thoroughly.
  • Talos calls the likely trajectory a bug-class curve and cites format string bugs: identified in 2000, peaking in 2005, then declining over the next few years. They remain a smaller share of yearly CVEs. Talos says AI-assisted discovery "could" follow the same path, as the backlog is cleared and AI checks run on new code. This is an analogy, not a measurement.
  • On exploitation, KEV additions rose 37% against 105% for published CVEs. Talos says the two need not scale together, because attackers need only enough useful bugs and reuse them across targets. KEV counts distinct vulnerabilities, not attacks.
  • The risk Talos names is shorter time to exploit. Attackers have long diffed vendor patches to find the bugs, and patch volume used to bottleneck human analysts. AI removes that bottleneck. Attackers often chain three or more vulnerabilities.

What to do

  • Writing code: add AI review to the build chain, using models at least as current as those used for hunting. Running new code through is cheap. Running a large backlog is expensive, so do it in chunks.
  • Operating systems and tools: upgrade quickly, then add layers.
  • Prioritise flaws with the highest exploitability in your own environment, not the advisory count.
  • Cisco customers: use LiveProtect to cover the gap between advisory day and patching, "for everything you own".
  • Replace static domain blocking with behavioral detection that alerts on anomalous traffic toward automation platforms.
  • Write custom IPS/Snort rules with SnortML to block traffic aimed at unpatched flaws.
  • Keep several overlapping protections to cover patch delays.

Caveats

  • Talos itself says guidance on disclosure is "in flux". Many researchers now publish with no 90-day window, reasoning that any other model could find the same bug.
  • Open-source projects are described as flooded. Some have a trusted patching group and some ask the whole community. Larger vendors are said to be coping "for now".
  • The log4j (CVE-2021-44228) example is used to show that ubiquitous, uncatalogued components blindside defenders. The post gives no inventory method.
  • The advice names Cisco products (LiveProtect, SnortML) and gives no thresholds or tooling beyond those. Talos also says it has had to add resources to deliver MAPP-based detection on time for Microsoft.

Organisations named here

  • Bella Fusari
  • format string vulnerabilities
  • LiveProtect
  • Yves Younan

CVEs named here

  • CVE-2021-44228

Technologies named here

  • Cisco Live Protect
  • SnortML
  • Microsoft Active Protections Process
  • Apache log4j library
  • Known Exploited Vulnerabilities Catalog
  • AI evaluation models in software build chains
  • Snort
  • Windows
  • Mythos
  • CISA KEV
  • Cisco Talos

Techniques named here

  • Multi-exploit attacks against entrenched older tools
  • Behavioral anomaly detection
  • Defense in depth
  • Custom IPS/Snort triggers using SnortML
  • Coordinated disclosure

Also named here

  • Patch Tuesday