| Advisory ID | pypa/nltk/PYSEC-2026-99 |
| Aliases |
CVE-2026-0848
PYSEC-2026-99 |
| Summary | NLTK versions <=3.9.2 are vulnerable to arbitrary code execution due to improper input validation in the StanfordSegmenter module. The module dynamically loads external Java .jar files without verification or sandboxing. An attacker can supply or replace the JAR file, enabling the execution of arbitrary Java bytecode at import time. This vulnerability can be exploited through methods such as model poisoning, MITM attacks, or dependency poisoning, leading to remote code execution. The issue arises from the direct execution of the JAR file via subprocess with unvalidated classpath input, allowing malicious classes to execute when loaded by the JVM. |
| Status | Published |
| Exploitability | 0.5 |
| Weighted Severity | 9.0 |
| Risk | 4.5 |
| Affected and Fixed Packages | Package Details |
| Introduced and Fixed Package Commit Patches | Package Commit Patches Details |
| There are no known CWE. |
| System | Score | Found at |
|---|---|---|
| cvssv3 | 10.0 | https://github.com/pypa/advisory-database/blob/main/vulns/nltk/PYSEC-2026-99.yaml |
| Reference id | Reference type | URL |
|---|---|---|
| 08b109bb-ac24-403f-9422-1c246ce60202 | Other | https://huntr.com/bounties/08b109bb-ac24-403f-9422-1c246ce60202 |
No EPSS data available for this advisory.
| Patch URL | |
|---|---|
| There are no known patches. | |
| Attack Vector (AV) | Attack Complexity (AC) | Privileges Required (PR) | User Interaction (UI) | Scope (S) | Confidentiality Impact (C) | Integrity Impact (I) | Availability Impact (A) |
|---|---|---|---|---|---|---|---|
network adjacent_network local physical |
low high |
none low high |
none required |
unchanged changed |
high low none |
high low none |
high low none |
Vector: SSVCv2/E:P/A:Y/T:T/P:M/B:A/M:M/D:R/2026-03-06T16:30:57Z/
Decision: Track*
Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2026/0xxx/CVE-2026-0848.json
Source Advisory: vulnrichment/CVE-2026-0848
[{'Exploitation': 'poc'},
{'Automatable': 'yes'},
{'Technical Impact': 'total'},
{'Mission Prevalence': 'minimal'},
{'Public Well-being Impact': 'material'},
{'Mission & Well-being': 'medium'}]