CVE-2025-71408
HighCVSS 7.8Exploitation Probability (EPSS)
Low risk5th percentile - higher than 5% of all known CVEs
Summary
NLTK (Natural Language Toolkit) before version 3.9.3 contains an eval injection vulnerability in the nltk.collocations module. When collocations.py is invoked directly, command-line arguments are passed to eval() without validation, allowing an attacker to execute arbitrary Python code, including OS commands via the os module.
Risk Assessment
Organizations using NLTK in scripts processing command-line arguments are at risk of remote code execution by an attacker controlling those arguments.
Recommendation
Update NLTK to version 3.9.3 or later.
Other vulnerabilities in NLTK
See all- CVE-2026-81723Low
NLTK before 3.10.3 has a quadratic CPU exhaustion vulnerability in XMLCorpusView._read_xml_fragment(). Malformed XML files can cause severe CPU consumption and DoS.
- CVE-2026-80206Medium
NLTK before 3.10.3 has a ReDoS vulnerability in the tgrep module. The _tgrep_node_action function compiles user-supplied regex patterns and executes them without validation, potentially causing catastrophic backtracking and blocking the Python process.
- CVE-2026-80205High
NLTK versions before 3.10.0 contain a regular expression denial of service vulnerability in Text.findall() and TokenSearcher.findall() methods that accept user-supplied regular expressions without validation or timeout. Attackers can supply crafted regex patterns that cause catastrophic backtracking, resulting in indefinite CPU saturation and denial of service to all users of the Python process.
- CVE-2026-79675Critical
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.
- CVE-2026-79657Critical
NLTK versions before 3.10.3 contain a remote code execution vulnerability in allowlisted pickle loaders that trust entire module namespaces instead of specific safe callables. Attackers can craft malicious pickle payloads invoking dangerous in-namespace functions like ReppTokenizer._execute and numpy.f2py.crackfortran.myeval through pickle REDUCE to execute arbitrary commands during model or tokenizer artifact loading.
- CVE-2026-78683Critical
NLTK before 3.10.0 contains an unsafe pickle deserialization vulnerability in TransitionParser.parse(). Deserialization uses default restricted=False, allowing arbitrary Python code execution when loading a crafted model file.
- CVE-2026-81727High
NLTK versions before 3.10.3 contain a filesystem containment bypass vulnerability in the Downloader.download and Downloader.incr_download methods that allows attackers to overwrite files outside the install root through pre-existing hardlinks. Attackers with write access to a shared downloader directory can create hardlinks pointing to outside-root files that are then overwritten during normal package extraction.
- CVE-2026-81726High
NLTK through 3.10.3 contains a path traversal vulnerability in model-artifact APIs that bypass pathsec enforcement by using raw file operations on caller-controlled paths. Attackers can read or write files outside allowed sandbox roots through TransitionParser, AveragedPerceptron, PerceptronTagger, and maxent parameter APIs when pathsec is enabled.
- CVE-2026-81725Low
NLTK before 3.10.3 has a regular expression denial of service vulnerability in Pl196xCorpusReader. Attackers can supply malformed TEI blocks causing quadratic CPU consumption.
- CVE-2026-81724Medium
NLTK before 3.10.3 contains an uncontrolled recursion vulnerability in nltk.featstruct.FeatStructReader that allows unauthenticated attackers to cause a denial of service by supplying deeply nested feature-structure input. Attackers can craft trivial payloads with nested brackets that exceed Python's recursion limit and raise an unhandled RecursionError, crashing applications that parse user-supplied feature structures or feature grammars.
Original NVD description (English source)
NLTK (Natural Language Toolkit) before version 3.9.3 contains an eval injection vulnerability in the nltk.collocations module that allows an attacker who controls command-line arguments to execute arbitrary Python code. When collocations.py is invoked directly, the __main__ block passes command-line arguments directly to eval() as suffixes of BigramAssocMeasures without allowlist validation or sanitization, enabling an attacker to supply a Python expression that escapes the intended attribute lookup and executes arbitrary code including OS commands via the os module.

