CVE-2026-79675: NLTK before 3.10.3 JVM Argument Injection via Per-Call Options
Vulnerability
The fix for CVE-2026-12841 (CWE-88, JVM argument injection) added validatejavaoptions() 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 configjava(). The java() function's per-call options parameter -- added by PR #3683 (CVE-2026-12615 fix) -- passes options directly to subprocess.Popen without calling validatejavaoptions().
All four Stanford Java wrapper classes accept user-supplied javaoptions 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:
python nltk/internals.py, lines 211-217 (HEAD) if options is None: javaoptions = javaoptions # validated by configjava() else: if isinstance(options, str): options = options.split() javaoptions = list(options) # NO validation cmd = [javabin] + javaoptions + cmd
Compare with configjava() (line 92) which does validate:
python nltk/internals.py, lines 122-123 validatejavaoptions(options) javaoptions[:] = options
The four affected wrapper classes store user-supplied javaoptions without validation and pass them through the unvalidated per-call path:
1. GenericStanfordParser (nltk/parse/stanford.py): constructor parameter at line 39, stored at line 78, passed at lines 247 and 256 2. StanfordTagger (nltk/tag/stanford.py): constructor parameter at line 51, stored at line 79, passed at line 118 3. StanfordTokenizer (nltk/tokenize/stanford.py): constructor parameter at line 43, stored at line 66, passed at line 109 4. StanfordSegmenter (nltk/tokenize/stanfordsegmenter.py): constructor parameter at line 68, stored at line 117, passed at line 337
Proof of Concept
python from nltk.internals import configjava, java, validatejavaoptions
1. The global configjava() path correctly blocks dangerous flags: try: configjava(options=["-agentpath:/tmp/evil.so"]) except ValueError as e: print(f"configjava 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(javaoptions="-agentpath:/tmp/evil.so") parser.parse(...) # dangerous flag reaches JVM
Verify the gap directly: dangerousopts = ["-agentpath:/tmp/evil.so"] try: validatejavaoptions(dangerousopts) print("Would have been caught") except ValueError: print("Correctly rejected by validatejavaoptions()")
But java() itself never calls validatejavaoptions(): import inspect source = inspect.getsource(java) assert "validatejavaoptions" not in source, "java() does not validate options" print("Confirmed: java() does not call validatejavaoptions()")
Impact
An attacker who controls the javaoptions 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=dtsocket,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 javaoptions 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 configjava().
Suggested Fix
Add validatejavaoptions() to the java() function's per-call options handling:
python nltk/internals.py, in the java() function if options is None: javaoptions = javaoptions else: if isinstance(options, str): options = options.split() javaoptions = list(options) validatejavaoptions(javaoptions) # ADD THIS LINE cmd = [javabin] + javaoptions + 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.
Other sources
NLTK before 3.10.3 fails to validate JVM options passed through the per-call options parameter in the java() function, allowing attackers to inject dangerous JVM flags. Attackers can supply malicious options like -agentpath, -javaagent, or @argfile to Stanford wrapper classes to achieve arbitrary code execution.
— MITRE
Affected Software
Remediation
Recommended actions to resolve this vulnerability, in priority order.
- Upgrade
Upgrade
pip/nltkto a version that resolves this vulnerability.Fixed in 3.10.3 - Configuration
In nltk/internals.py, inside the java() function where the per-call keyword argument `options` is handled (the code path that converts `options` to a list and prepends it to the JVM command), add a call to `_validate_java_options(options)` so that per-call `options` are validated the same way as `config_java()` does for global options. This closes the bypass where `java(options=...)` currently passes flags such as `-agentlib`, `-agentpath`, `-javaagent`, `-Xrunjdwp`, and `@argfile` directly to the JVM.
NLTK Stanford wrappers (nltk/internals.py java()) Per-call JVM options validation = Add/ensure call to _validate_java_options(options) inside java() before passing options to subprocess.Popen
Event History
Frequently Asked Questions
Which deployments are exposed to exploitation?
Deployments using NLTK versions before 3.10.3 are exposed if attacker-controlled input can reach the per-call options parameter of the java() function, including through Stanford wrapper classes.
What does an attacker need to exploit this issue?
An attacker needs to supply JVM options through the per-call options parameter. No authentication or user interaction is required according to the listed CVSS vector.
What is the likely impact of successful exploitation?
An attacker can inject dangerous JVM flags such as -agentpath, -javaagent, or @argfile through affected Stanford wrapper classes and achieve arbitrary code execution. The reported impact includes high confidentiality, integrity, and availability impact.
What should be prioritized for remediation?
Upgrade NLTK to version 3.10.3 or later. Until an upgrade is possible, ensure untrusted input cannot control the per-call JVM options passed to java() or Stanford wrapper classes.