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GHSA-8mpw-7fpc-4gqj CVE-2026-81725 PYSEC-2026-3752

NLTK: Pl196xCorpusReader has quadratic ReDoS on malformed TEI blocks

Low PyPI
Severity
0.0 / 10
Low · CVSS 4.0
Exploit chance (EPSS)
0.37%
Chance of exploitation in the next 30 days. Higher than 30.79% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-1333 Inefficient Regular Expression Complexity
CWE-400 Uncontrolled Resource Consumption
Fix
3.10.3
Upgrade nltk to this version or later

Description

Summary

Pl196xCorpusReader still parses whole TEI blocks with multiple lazy regexes over attacker-controlled text. A malformed file with many opening tags and no matching closing tags forces repeated rescans and produces quadratic CPU growth in public reader APIs.

Details

  • Vulnerability type: Regular-expression denial of service
  • Affected component: nltk.corpus.reader.pl196x.TEICorpusView.read_block and Pl196xCorpusReader public methods
  • Affected versions: Published 3.9.4 and current source v3.10.0-rc2 both reproduced.
  • Patched versions: Not yet patched
  • Root cause: Lazy .*? whole-block regexes rescan untrusted XML-like blocks from each opening-tag position.

The parser uses regexes for paragraphs, sentences, and word tags across the whole <text> block. When the attacker supplies many unmatched opening tags, each attempt scans toward the end of the block and fails, then restarts from the next opening tag. There is near four-times runtime growth each time the number of malformed <p> tags doubled, through normal public calls such as words() and tagged_words().

PoC

Preconditions

  • The application parses attacker-influenced PL196X or TEI-like corpus files through public reader APIs.

Steps

  1. Create a corpus file with a valid header followed by a <text> block that contains many opening tags and no matching closing tags.
  2. Instantiate Pl196xCorpusReader on that corpus.
  3. Call words() or tagged_words() and measure elapsed time as the malformed tag count doubles.
  4. Observe near quadratic growth instead of near-linear behavior.

Minimal reproducible excerpt

size=1000 0.014s
size=2000 0.057s
size=4000 0.231s
size=8000 0.927s

Impact

A consumer that accepts attacker-influenced corpus files can be forced into heavy CPU use and parser-thread stalling before the application concludes the input contains no valid content.

Remediation

Replace the whole-block lazy-regex parser with a linear parser or bounded tokenizer, and add regression tests that assert near-linear behavior on malformed inputs with many unmatched tags.

Affected versions

PyPI

PackageVulnerableFixed in
nltk
< 3.10.3
3.10.3

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

nltk PyPI → 3.10.3

pip
pip install --upgrade "nltk>=3.10.3"
poetry
poetry add "nltk>=3.10.3"
uv
uv add "nltk>=3.10.3"

Severity breakdown

CVSS 4.0 0.0

CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Attack vector
Network
Attack complexity
High
Attack requirements
None
Privileges required
None
User interaction
None
Confidentiality (vulnerable system)
None
Integrity (vulnerable system)
None
Availability (vulnerable system)
Low
Confidentiality (subsequent systems)
None
Integrity (subsequent systems)
None
Availability (subsequent systems)
None

CVSS 3.1 3.7

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L

Attack vector
Network
Attack complexity
High
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
Low

Weakness

CWE-1333: Inefficient Regular Expression Complexity

The product uses a regular expression with a worst-case computational complexity that is inefficient and possibly exponential.

How to prevent it
  • Architecture and Design: Use regular expressions that do not support backtracking, e.g. by removing nested quantifiers.
  • System Configuration: Set backtracking limits in the configuration of the regular expression implementation, such as PHP's pcre.backtrack_limit. Also consider limits on execution time for the process.
  • Implementation: Do not use regular expressions with untrusted input. If regular expressions must be used, avoid using backtracking in the expression.
  • Implementation: Limit the length of the input that the regular expression will process.

CWE-400: Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource.

How to prevent it
  • Architecture and Design: Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.
  • Architecture and Design: Mitigation of resource exhaustion attacks requires that the target system either: recognizes the attack and denies that user further access for a given amount of time, or uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed. The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question. The second solution is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
  • Architecture and Design: Ensure that protocols have specific limits of scale placed on them.
  • Implementation: Ensure that all failures in resource allocation place the system into a safe posture.

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-j456-xh4h-cpf2
NLTK: WekaClassifier passes an unvalidated caller-controlled model path to the weka JVM, bypassing nltk.pathsec containment
High Also affects nltk
GHSA-ff5c-cp5c-9wjf
NLTK: Uncontrolled resource consumption in RecursiveDescentParser via ambiguous or left-recursive grammars
Medium Also affects nltk
GHSA-f794-5jv7-7672
NLTK: Downloader.download follows hardlinks and overwrites outside-root files
High Also affects nltk
GHSA-8mgp-746c-j5xp
NLTK: Model-artifact APIs bypass pathsec and touch files outside allowed roots
High Also affects nltk
GHSA-cw6x-m8jw-qmrh
NLTK: Uncontrolled recursion in nltk.featstruct.FeatStructReader causes unhandled RecursionError (DoS) via deeply nested feature-structure input
Medium Also affects nltk
GHSA-vp2x-qp44-57v7
NLTK: Quadratic CPU Exhaustion in `XMLCorpusView._read_xml_fragment()`
Low Also affects nltk
GHSA-ww6m-cw3f-q94g
NLTK: Quadratic-time DoS in PorterStemmer via long runs of 'y'
High Also affects nltk
GHSA-w3v8-gmh9-3wv7
NLTK: ReDoS in nltk.tgrep via unvalidated user-supplied regular expressions
Medium Also affects nltk
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