Mitsubishi Electric EZSocket externally-controlled input to select classes or code

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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9.8$0-$5k0.00

Summaryinfo

A vulnerability identified as very critical has been detected in Mitsubishi Electric EZSocket, FR Configurator2, GT Designer3 Version1(GOT1000), GT Designer3 Version1(GOT2000), GX Works2, GX Works3, MELSOFT Navigator, MT Works2, MX Component and MX OPC Server DA-UA. This vulnerability affects unknown code. Performing a manipulation results in use of externally-controlled input to select classes or code. This vulnerability is reported as CVE-2023-6943. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as very critical has been found in Mitsubishi Electric EZSocket, FR Configurator2, GT Designer3 Version1(GOT1000), GT Designer3 Version1(GOT2000), GX Works2, GX Works3, MELSOFT Navigator, MT Works2, MX Component and MX OPC Server DA-UA. This affects some unknown functionality. The manipulation with an unknown input leads to a use of externally-controlled input to select classes or code vulnerability. CWE is classifying the issue as CWE-470. The product uses external input with reflection to select which classes or code to use, but it does not sufficiently prevent the input from selecting improper classes or code. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection') vulnerability in Mitsubishi Electric Corporation EZSocket versions 3.0 and later, FR Configurator2 all versions, GT Designer3 Version1(GOT1000) all versions, GT Designer3 Version1(GOT2000) all versions, GX Works2 versions 1.11M and later, GX Works3 all versions, MELSOFT Navigator versions 1.04E and later, MT Works2 all versions, MX Component versions 4.00A and later and MX OPC Server DA/UA all versions allows a remote unauthenticated attacker to execute a malicious code by RPC with a path to a malicious library while connected to the products.

The weakness was disclosed 01/30/2024. It is possible to read the advisory at jvn.jp. This vulnerability is uniquely identified as CVE-2023-6943 since 12/19/2023. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/19/2025).

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-2023-59140). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 9.8
VulDB Meta Temp Score: 9.8

VulDB Base Score: 9.8
VulDB Temp Score: 9.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CNA Base Score: 9.8
CNA Vector (Mitsubishi Electric Corporation): 🔍

CVSSv2info

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

Exploitinginfo

Class: Use of externally-controlled input to select classes or code
CWE: CWE-470
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 Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

12/19/2023 🔍
01/30/2024 +42 days 🔍
01/30/2024 +0 days 🔍
09/19/2025 +598 days 🔍

Sourcesinfo

Advisory: jvn.jp
Status: Not defined

CVE: CVE-2023-6943 (🔍)
GCVE (CVE): GCVE-0-2023-6943
GCVE (VulDB): GCVE-100-252387
EUVD: 🔍

Entryinfo

Created: 01/30/2024 10:46
Updated: 09/19/2025 18:50
Changes: 01/30/2024 10:46 (45), 11/01/2024 10:51 (24), 09/19/2025 18:50 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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