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Medium, CVSS 6.9

NLTK: Quadratic-time DoS in PorterStemmer via long runs of 'y'

CVE-2026-81722GHSA-ww6m-cw3f-q94g

What to do

Vendor fix available. Upgrade each affected package to the fixed version on its release line (nltk 3.10.3), redeploy, then verify what is actually installed.

This page has no inventory attached, so it cannot say whether you are affected. A vendor fix is not proof that your deployment is fixed.

Affected packages

  • PyPI nltk

    Affected
    <= 3.10.2
    Fixed in
    3.10.3

Sources

Severity and exploitation
Exploitation
No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.
CVSS 4.0
6.9 · CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N · score source
EPSS
  • CVE-2026-81722: 0.52% estimated exploitation activity in the next 30 days; percentile 44.30 (FIRST EPSS, 2026-11-03). This is a model estimate, not proof of exploitation or customer exposure.
Source description

As published by the source; long descriptions are shortened.

nltk.stem.PorterStemmer.stem() -- a ubiquitous public API applied to arbitrary, often untrusted, tokens -- runs in O(n^2) time on a token containing a long run of the letter 'y', letting a single ~20-50 KB token pin a CPU core (CWE-407). Root cause isconsonant(word, i) was made iterative (commit for #3633, GHSA/CWE-674) to fix an earlier unbounded-recursion RecursionError on 'y'10000. The iterative form walks backward over the whole run of 'y's on every call: measure() then calls isconsonant(stem, i) once for every position i of the stem. For a run of n 'y's that is sum{i} O(i) = O(n^2). The recursion fix therefore traded a CWE-674 RecursionError for a CWE-407 quadratic-time DoS. Proof of concept Measured (Python 3.13): stem('y'5000 + 'ness') = 2.6s, stem('y'10000 + 'ness') = 11.3s (2x input - ~4.3x time = quadratic), stem('y'20000 + 'ness') 20s. A pure run of 'y' with no matching suffix is fast because the stemmer rules that call measure do not fire; a real suffix such as 'ness'…

Dates and revisions
Published by the source
Last modified by the source
Source last checked
  1. Revision 1 · created ·

    Published from ghsa record GHSA-ww6m-cw3f-q94g

Agent brief

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# Patch Next advisory brief: CVE-2026-81722

Advisory: NLTK: Quadratic-time DoS in PorterStemmer via long runs of 'y'
IDs: CVE-2026-81722, GHSA-ww6m-cw3f-q94g
Record: https://patchnext.com/advisories/cve-2026-81722 (revision 1, source checked 26 Oct 2026, 13:51 UTC)
Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected.
Severity: Medium (CVSS 6.9)
Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV.
Vendor response: Vendor fix available; fixed versions by package: nltk 3.10.3. A vendor fix does not mean a deployment is fixed.

## Affected components
- PyPI nltk: affected <= 3.10.2; fixed in 3.10.3

## Suggested inspection (read-only)
- `python -m pip show nltk`: prints the installed version. Run with the environment that serves production active.

## Supported action
Upgrade each affected component to a fixed version on its release line. For a transitive dependency, upgrade the parent package or add an override or constraint, then regenerate the lockfile. Redeploy every environment that ran an affected version.

## Required regression checks
- Run the test suite and a production build.
- Exercise the features that depend on nltk.
- Repeat the inspection and confirm that only fixed versions remain installed.

## Rollback considerations
- Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward.

## Unresolved questions
- Which deployments run an affected version?
- Exploitation status can change. Check again before lowering the priority.
- Mark the work resolved only after the fixed version is verified in production.

## Sources
- Verified: https://github.com/advisories/GHSA-ww6m-cw3f-q94g (GitHub-reviewed advisory GHSA-ww6m-cw3f-q94g lists affected ranges: PyPI nltk >=0 <=3.10.2)

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