CVE-2026-81722
highpriority · track · 30EPSS 0.005 · 44 %ileUSEPSS · scored 2026-10-28
nltk PorterStemmer in versions <= 3.10.2 (fixed in 3.10.3) contains an inefficient-algorithmic-complexity denial of service in PorterStemmer.stem(). The _is_consonant() helper walks backward over the entire run of trailing 'y' characters on every call, and _measure() invokes it for each stem position, causing O(n^2) behavior. A single ~20-50 KB untrusted token consisting of a long run of the letter 'y' followed by a matching suffix (e.g., 'ness') can pin a CPU core for seconds to minutes, causing availability impact.
cvss
Technical severity, 0–10. One row per scoring source.
base score 0–10 · higher = more severe · hover a vector to decode⚠ sources disagree · medium–high · 6.6–8.7
ssvc
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weaknesses
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affected products (2)
Products and version ranges known to be affected.
advisories (2)
Vendor and ecosystem advisories describing this.
- GHSA-ww6m-cw3f-q94gNLTK: Quadratic-time DoS in PorterStemmer via long runs of 'y'2026-09-02ghsa · osvUS
`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).
- PYSEC-2026-37382026-08-27vendor · osvUS
nltk PorterStemmer in versions <= 3.10.2 (fixed in 3.10.3) contains an inefficient-algorithmic-complexity denial of service in PorterStemmer.stem(). The _is_consonant() helper walks backward over the entire run of trailing 'y' characters on every call, and _measure() invokes it for each stem position, causing O(n^2) behavior. A single ~20-50 KB untrusted token consisting of a long run of the letter 'y' followed by a matching suffix (e.g., 'ness') can pin a CPU core for seconds to minutes, causing availability impact.
also known as (2)
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sources
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references (2) nvd
External citations — patches, advisories, analysis.
- https://github.com/nltk/nltk/security/advisories/GHSA-ww6m-cw3f-q94gExploitVendor Advisory
- https://www.vulncheck.com/advisories/nltk-porterstemmer-before-3.10.3-quadratic-time-dosThird Party Advisory
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