CVE-2025-71408 (GCVE-0-2025-71408)
Vulnerability from cvelistv5 – Published: 2026-07-24 21:07 – Updated: 2026-07-25 10:30 X_Open Source
VLAI
EPSS
VEX
Title
NLTK < 3.9.3 Eval Injection via collocations.py Command-Line Arguments
Summary
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.
Severity
CWE
- CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://aydinnyunus.github.io/2026/06/07/command-… | technical-descriptionexploit |
| https://github.com/nltk/nltk/releases/tag/3.9.3 | release-notespatch |
| https://github.com/nltk/nltk/pull/3465 | issue-trackingpatch |
| https://github.com/nltk/nltk/commit/66f14096d952e… | patch |
| https://www.vulncheck.com/advisories/nltk-eval-in… | third-party-advisory |
Date Public
2025-11-17 00:00
Credits
{
"containers": {
"cna": {
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{
"defaultStatus": "affected",
"packageURL": "pkg:github/nltk/nltk",
"product": "ntlk",
"repo": "https://github.com/nltk/nltk",
"vendor": "ntlk",
"versions": [
{
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"status": "affected",
"version": "0",
"versionType": "semver"
}
]
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"descriptions": [
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}
],
"metrics": [
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"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "LOCAL",
"baseScore": 8.5,
"baseSeverity": "HIGH",
"exploitMaturity": "NOT_DEFINED",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
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"confidentialityImpact": "HIGH",
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"scope": "UNCHANGED",
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"version": "3.1"
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"problemTypes": [
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"descriptions": [
{
"cweId": "CWE-95",
"description": "Improper Neutralization of Directives in Dynamically Evaluated Code (\u0027Eval Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-07-25T10:30:02.196Z",
"orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"shortName": "VulnCheck"
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"references": [
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"url": "https://aydinnyunus.github.io/2026/06/07/command-injection-nltk-collocations-eval/"
},
{
"name": "NLTK 3.9.3 Release Notes",
"tags": [
"release-notes",
"patch"
],
"url": "https://github.com/nltk/nltk/releases/tag/3.9.3"
},
{
"name": "Pull Request",
"tags": [
"issue-tracking",
"patch"
],
"url": "https://github.com/nltk/nltk/pull/3465"
},
{
"name": "Patch Commit",
"tags": [
"patch"
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"url": "https://github.com/nltk/nltk/commit/66f14096d952ec8f04934f515e027534bd4eb0ac"
},
{
"tags": [
"third-party-advisory"
],
"url": "https://www.vulncheck.com/advisories/nltk-eval-injection-via-collocations-py-command-line-arguments"
}
],
"source": {
"discovery": "UNKNOWN"
},
"tags": [
"x_open-source"
],
"title": "NLTK \u003c 3.9.3 Eval Injection via collocations.py Command-Line Arguments",
"x_generator": {
"engine": "vulncheck"
}
}
},
"cveMetadata": {
"assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"assignerShortName": "VulnCheck",
"cveId": "CVE-2025-71408",
"datePublished": "2026-07-24T21:07:49.610Z",
"dateReserved": "2026-07-24T20:57:08.784Z",
"dateUpdated": "2026-07-25T10:30:02.196Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2025-71408",
"date": "2026-07-25",
"epss": "0.00158",
"percentile": "0.05359"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2025-71408\",\"sourceIdentifier\":\"disclosure@vulncheck.com\",\"published\":\"2026-07-24T22:16:50.063\",\"lastModified\":\"2026-07-24T22:16:50.063\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"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.\"}],\"affected\":[{\"source\":\"disclosure@vulncheck.com\",\"affectedData\":[{\"vendor\":\"ntlk\",\"product\":\"ntlk\",\"defaultStatus\":\"affected\",\"repo\":\"https://github.com/nltk/nltk\",\"packageURL\":\"pkg:github/nltk/nltk\",\"versions\":[{\"version\":\"0\",\"lessThan\":\"3.9.3\",\"versionType\":\"semver\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV40\":[{\"source\":\"disclosure@vulncheck.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"4.0\",\"vectorString\":\"CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X\",\"baseScore\":8.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"attackRequirements\":\"NONE\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"vulnConfidentialityImpact\":\"HIGH\",\"vulnIntegrityImpact\":\"HIGH\",\"vulnAvailabilityImpact\":\"HIGH\",\"subConfidentialityImpact\":\"NONE\",\"subIntegrityImpact\":\"NONE\",\"subAvailabilityImpact\":\"NONE\",\"exploitMaturity\":\"NOT_DEFINED\",\"confidentialityRequirement\":\"NOT_DEFINED\",\"integrityRequirement\":\"NOT_DEFINED\",\"availabilityRequirement\":\"NOT_DEFINED\",\"modifiedAttackVector\":\"NOT_DEFINED\",\"modifiedAttackComplexity\":\"NOT_DEFINED\",\"modifiedAttackRequirements\":\"NOT_DEFINED\",\"modifiedPrivilegesRequired\":\"NOT_DEFINED\",\"modifiedUserInteraction\":\"NOT_DEFINED\",\"modifiedVulnConfidentialityImpact\":\"NOT_DEFINED\",\"modifiedVulnIntegrityImpact\":\"NOT_DEFINED\",\"modifiedVulnAvailabilityImpact\":\"NOT_DEFINED\",\"modifiedSubConfidentialityImpact\":\"NOT_DEFINED\",\"modifiedSubIntegrityImpact\":\"NOT_DEFINED\",\"modifiedSubAvailabilityImpact\":\"NOT_DEFINED\",\"Safety\":\"NOT_DEFINED\",\"Automatable\":\"NOT_DEFINED\",\"Recovery\":\"NOT_DEFINED\",\"valueDensity\":\"NOT_DEFINED\",\"vulnerabilityResponseEffort\":\"NOT_DEFINED\",\"providerUrgency\":\"NOT_DEFINED\"}}],\"cvssMetricV31\":[{\"source\":\"disclosure@vulncheck.com\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":7.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"LOCAL\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":1.8,\"impactScore\":5.9}]},\"weaknesses\":[{\"source\":\"disclosure@vulncheck.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-95\"}]}],\"references\":[{\"url\":\"https://aydinnyunus.github.io/2026/06/07/command-injection-nltk-collocations-eval/\",\"source\":\"disclosure@vulncheck.com\"},{\"url\":\"https://github.com/nltk/nltk/commit/66f14096d952ec8f04934f515e027534bd4eb0ac\",\"source\":\"disclosure@vulncheck.com\"},{\"url\":\"https://github.com/nltk/nltk/pull/3465\",\"source\":\"disclosure@vulncheck.com\"},{\"url\":\"https://github.com/nltk/nltk/releases/tag/3.9.3\",\"source\":\"disclosure@vulncheck.com\"},{\"url\":\"https://www.vulncheck.com/advisories/nltk-eval-injection-via-collocations-py-command-line-arguments\",\"source\":\"disclosure@vulncheck.com\"}]}}"
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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