CVE-2026-81722: NLTK · Quadratic-time DoS in PorterStemmer via long runs of 'y'
Affects safetySource GCVE Database
Not known to be exploited · CVSS 6.9 Medium : upgrade to 3.8.1_2 when convenient.
Data as of 30 Oct 2026, 07:30 UTC
- Patch
- Available – fixed in 3.8.1_2
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:NExploitation evidence
Disclosed: evidence found.
CVE published 2 Sep 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.
What to do
Upgrade safety to 3.8.1_2.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
Homebrewsafetypkg:brew/safetyOther threats | Affected
| Fixed in
|
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
Description
`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 `_is_consonant(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: ```python while i > 0 and word[i] == 'y': negate = not negate i -= 1 ``` `_measure()` then calls `_is_consonant(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' triggers `_measure` on the long stem. ```python from nltk.stem import PorterStemmer PorterStemmer().stem('y' * 20000 + 'ness') # >20s of CPU ``` ## Impact Stemming is routinely applied to untrusted text (search, indexing, NLP pipelines). A single unbroken ~20-50 KB token of 'y' characters (no whitespace, so it survives tokenization) causes multi-second-to-minutes CPU consumption per request. No confidentiality/integrity impact; single-process availability only. ## Fix direction Classify each character's consonant/vowel status in a single left-to-right O(n) pass (memoise the 'y' run parity) instead of re-walking the run on every `_is_consonant` call, so `_measure` and stemming are linear. This is a sibling of the corpus-reader quadratic advisories GHSA-vp2x-qp44-57v7 and GHSA-8mpw-7fpc-4gqj (CWE-407).
References
- github.com/nltk/nltk/security/advisories/GHSA-ww6m-cw3f-q94g (opens in a new tab)
- nvd.nist.gov/vuln/detail/CVE-2026-81722 (opens in a new tab)
- github.com/nltk/nltk/commit/7808692d451b962711005d954859bb83aabcf8fa (opens in a new tab)
- github.com/nltk/nltk (opens in a new tab)
- github.com/nltk/nltk/releases/tag/v3.10.3 (opens in a new tab)
- github.com/pypa/advisory-database/tree/main/vulns/nltk/PYSEC-2026-3738.yaml (opens in a new tab)
- vulncheck.com/advisories/nltk-porterstemmer-before-3.10.3-quadratic-time-dos (opens in a new tab)