stanford-parser up to 3.9.2 edu.stanford.nlp.io.getBZip2PipedInputStream. code injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.5 | $0-$5k | 0.00 |
Summary
A vulnerability was found in stanford-parser up to 3.9.2. It has been rated as critical. This affects an unknown function of the component edu.stanford.nlp.io.getBZip2PipedInputStream.. Performing a manipulation results in code injection. This vulnerability was named CVE-2023-39020. There is no available exploit.
Details
A vulnerability classified as critical has been found in stanford-parser up to 3.9.2. This affects an unknown function of the component edu.stanford.nlp.io.getBZip2PipedInputStream.. The manipulation with an unknown input leads to a code injection vulnerability. CWE is classifying the issue as CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
stanford-parser v3.9.2 and below was discovered to contain a code injection vulnerability in the component edu.stanford.nlp.io.getBZip2PipedInputStream. This vulnerability is exploited via passing an unchecked argument.
The weakness was presented 07/28/2023. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2023-39020 since 07/25/2023. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2023-1933). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.6
VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
07/25/2023 🔍07/28/2023 🔍
07/28/2023 🔍
07/20/2025 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2023-39020 (🔍)
GCVE (CVE): GCVE-0-2023-39020
GCVE (VulDB): GCVE-100-235683
EUVD: 🔍
Entry
Created: 07/28/2023 17:43Updated: 07/20/2025 23:01
Changes: 07/28/2023 17:43 (37), 08/23/2023 08:16 (11), 10/10/2024 23:04 (16), 07/20/2025 23:01 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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