CVE-2026-79675 — nltk
Fix: nltk/nltk@8fa9650CVE-2026-79675 is a CWE-88 vulnerability in nltk. A fix is available for nltk — see the affected versions and patch details below.
NLTK before 3.10.3 JVM Argument Injection via Per-Call Options
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
- CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
- A successful exploit gives an attacker total control of the affected component, not partial access.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-79675.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
Real-World Exposure
nltkReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Vulnerability
The fix for CVE-2026-12841 (CWE-88, JVM argument injection) added _validate_java_options() to block dangerous JVM flags such as -agentlib, -agentpath, -javaagent, -Xrunjdwp, and @argfile references. However, the validation is only applied when setting global options via config_java(). The java() function's per-call options parameter -- added by PR #3683 (CVE-2026-12615 fix) -- passes options directly to subprocess.Popen without calling _validate_java_options().
All four Stanford Java wrapper classes accept user-supplied java_options and route them through the unvalidated per-call path, bypassing the CVE-2026-12841 fix entirely.
Root Cause
In nltk/internals.py, the java() function (line 128) accepts an options keyword argument. When options is not None, it is converted to a list and prepended to the JVM command (lines 211-217) without any validation:
# nltk/internals.py, lines 211-217 (HEAD)
if options is None:
java_options = _java_options # validated by config_java()
else:
if isinstance(options, str):
options = options.split()
java_options = list(options) # NO validation
cmd = [_java_bin] + java_options + cmd
Compare with config_java() (line 92) which does validate:
# nltk/internals.py, lines 122-123
_validate_java_options(options)
_java_options[:] = options
The four affected wrapper classes store user-supplied java_options without validation and pass them through the unvalidated per-call path:
GenericStanfordParser(nltk/parse/stanford.py): constructor parameter at line 39, stored at line 78, passed at lines 247 and 256StanfordTagger(nltk/tag/stanford.py): constructor parameter at line 51, stored at line 79, passed at line 118StanfordTokenizer(nltk/tokenize/stanford.py): constructor parameter at line 43, stored at line 66, passed at line 109StanfordSegmenter(nltk/tokenize/stanford_segmenter.py): constructor parameter at line 68, stored at line 117, passed at line 337
Proof of Concept
from nltk.internals import config_java, java, _validate_java_options
# 1. The global config_java() path correctly blocks dangerous flags:
try:
config_java(options=["-agentpath:/tmp/evil.so"])
except ValueError as e:
print(f"config_java blocked: {e}") # blocked as expected
# 2. The per-call options path does NOT block them:
# (Would execute if Java were installed)
# java(["SomeClass"], classpath=".", options=["-agentpath:/tmp/evil.so"])
# This passes "-agentpath:/tmp/evil.so" directly to subprocess.Popen
# 3. Stanford wrapper classes pass through without validation:
# from nltk.parse.stanford import StanfordParser
# parser = StanfordParser(java_options="-agentpath:/tmp/evil.so")
# parser.parse(...) # dangerous flag reaches JVM
# Verify the gap directly:
dangerous_opts = ["-agentpath:/tmp/evil.so"]
try:
_validate_java_options(dangerous_opts)
print("Would have been caught")
except ValueError:
print("Correctly rejected by _validate_java_options()")
# But java() itself never calls _validate_java_options():
import inspect
source = inspect.getsource(java)
assert "_validate_java_options" not in source, "java() does not validate options"
print("Confirmed: java() does not call _validate_java_options()")
Impact
An attacker who controls the java_options parameter to any NLTK Stanford wrapper class can inject arbitrary JVM flags, including:
-agentpath:/path/to/malicious.so-- loads a native agent, achieving arbitrary code execution-javaagent:/path/to/malicious.jar-- loads a Java agent for bytecode manipulation-agentlib:jdwp=transport=dt_socket,server=y,address=*:5005-- enables remote debugging, allowing remote code execution@/path/to/argfile-- expands an argument file, which can smuggle any of the above
This is exploitable in scenarios where NLTK is deployed as a service and java_options is derived from user input, configuration files, or environment variables. The PR #3647 commit message explicitly states the fix was intended to cover "StanfordSegmenter, and GenericStanfordParser" but the implementation only validates in config_java().
Suggested Fix
Add _validate_java_options() to the java() function's per-call options handling:
# nltk/internals.py, in the java() function
if options is None:
java_options = _java_options
else:
if isinstance(options, str):
options = options.split()
java_options = list(options)
_validate_java_options(java_options) # ADD THIS LINE
cmd = [_java_bin] + java_options + cmd
This single-line addition closes the bypass for all four Stanford wrapper classes and any future callers of java(options=...).
AI tooling
AI assistance was used for the code audit and for drafting this report. The finding were manually verified against the project's source at the location cited above before reporting it, and the severity and impact assessment are the reporters.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | nltk | all versions | 3.10.3pip install --upgrade 'nltk==3.10.3' |
Affected Products
nltknltkDetection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for nltk, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update nltk to 3.10.3 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-79675 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
Fixing This On Your OS
If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.
This vulnerability is rated as Important because NLTK's `java()` function, when processing untrusted input for its `per-call options` parameter, can allow attackers to inject dangerous JVM flags. This could lead to arbitrary code execution, but successful exploitation requires specific conditions beyond an attacker's…
Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.Source: Red Hat security advisory for CVE-2026-79675 (CC BY 4.0)
| Product | Fixed in | Advisory |
|---|---|---|
| Red Hat OpenShift AI 3.3 | rhoai/odh-llama-stack-core-rhel9:1789121286 | RHSA-2026:73987 |
Frequently Asked Questions
Is CVE-2026-79675 in your dependencies?
Find it across PyPI, including transitive dependencies.