materialsproject pymatgen prior 2024.2.20 from_transformation_str command injection

CVSS Meta Temp Score
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CTI Interest Score
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7.3$0-$5k0.00

Summaryinfo

A vulnerability described as critical has been identified in materialsproject pymatgen. Affected by this issue is the function from_transformation_str. Such manipulation leads to command injection. This vulnerability is referenced as CVE-2024-23346. The attack can only be performed from a local environment. Furthermore, an exploit is available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability was found in materialsproject pymatgen (Project Management Software). It has been rated as critical. Affected by this issue is the function from_transformation_str. The manipulation with an unknown input leads to a command injection vulnerability. Using CWE to declare the problem leads to CWE-77. The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. CVE summarizes:

Pymatgen (Python Materials Genomics) is an open-source Python library for materials analysis. A critical security vulnerability exists in the `JonesFaithfulTransformation.from_transformation_str()` method within the `pymatgen` library prior to version 2024.2.20. This method insecurely utilizes `eval()` for processing input, enabling execution of arbitrary code when parsing untrusted input. Version 2024.2.20 fixes this issue.

The weakness was published 02/21/2024. The advisory is shared for download at github.com. This vulnerability is handled as CVE-2024-23346 since 01/15/2024. Technical details as well as a public exploit are known. The MITRE ATT&CK project declares the attack technique as T1202.

The exploit is available at exploit-db.com. It is declared as proof-of-concept.

Upgrading to version 2024.2.20 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at Exploit-DB (52205). Once again VulDB remains the best source for vulnerability data.

Productinfo

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License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.5
VulDB Meta Temp Score: 7.3

VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CNA Base Score: 9.3
CNA Vector (GitHub, Inc.): 🔍

CVSSv2info

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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Command injection
CWE: CWE-77 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Exploit-DB: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: pymatgen 2024.2.20
Patch: github.com

Timelineinfo

01/15/2024 🔍
02/21/2024 +37 days 🔍
02/21/2024 +0 days 🔍
08/08/2025 +534 days 🔍

Sourcesinfo

Product: github.com

Advisory: c231cbd3d5147ee920a37b6ee9dd236b376bcf5a
Status: Confirmed

CVE: CVE-2024-23346 (🔍)
GCVE (CVE): GCVE-0-2024-23346
GCVE (VulDB): GCVE-100-254420
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 02/21/2024 18:16
Updated: 08/08/2025 17:59
Changes: 02/21/2024 18:16 (49), 03/13/2024 09:05 (2), 03/13/2024 09:06 (1), 02/06/2025 10:12 (27), 08/08/2025 17:59 (11)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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