Didotech Engineering & Lifecycle Management models/base_client.py select sql injection

CVSS Meta Temp Score
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CTI Interest Score
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7.2$0-$5k0.00

Summaryinfo

A vulnerability was found in Didotech Engineering & Lifecycle Management. It has been classified as critical. Affected is an unknown function of the file models/base_client.py. This manipulation of the argument select causes sql injection. This vulnerability is registered as CVE-2023-40955. Remote exploitation of the attack is possible. Furthermore, an exploit is available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability has been found in Didotech Engineering & Lifecycle Management (unknown version) and classified as critical. Affected by this vulnerability is an unknown code block of the file models/base_client.py. The manipulation of the argument select with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

A SQL injection vulnerability in Didotech srl Engineering & Lifecycle Management (aka pdm) v.14.0, v.15.0 and v.16.0 fixed in pdm-14.0.1.0.0, pdm-15.0.1.0.0, and pdm-16.0.1.0.0 allows a remote authenticated attacker to execute arbitrary code via the select parameter in models/base_client.py component.

The weakness was published 09/15/2023. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2023-40955 since 08/22/2023. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

It is possible to download the exploit at github.com. It is declared as proof-of-concept.

Upgrading eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2023-45494). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.2

VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

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

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Timelineinfo

08/22/2023 🔍
09/15/2023 +24 days 🔍
09/15/2023 +0 days 🔍
01/30/2026 +868 days 🔍

Sourcesinfo

Advisory: github.com
Status: Confirmed

CVE: CVE-2023-40955 (🔍)
GCVE (CVE): GCVE-0-2023-40955
GCVE (VulDB): GCVE-100-239755
EUVD: 🔍
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 09/15/2023 07:39
Updated: 01/30/2026 16:24
Changes: 09/15/2023 07:39 (42), 10/11/2023 23:28 (11), 01/30/2026 16:24 (16)
Complete: 🔍
Cache ID: 216::103

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

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