Codemers KLIMS 1.6.DEV code injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.3$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Codemers KLIMS 1.6.DEV. Impacted is an unknown function. The manipulation leads to code injection. This vulnerability is referenced as CVE-2025-43948. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in Codemers KLIMS 1.6.DEV and classified as critical. This issue affects an unknown functionality. The manipulation with an unknown input leads to a code injection vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Codemers KLIMS 1.6.DEV allows Python code injection. A user can provide Python code as an input value for a parameter or qualifier (such as for sorting), which will get executed on the server side.

It is possible to read the advisory at de.linkedin.com. The identification of this vulnerability is CVE-2025-43948 since 04/20/2025. The exploitation is known to be easy. The attack may be initiated remotely. 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 05/25/2025). 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-2025-12263). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.3

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

CVSSv2info

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

Exploitinginfo

Class: Code injection
CWE: 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 Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

04/20/2025 🔍
04/22/2025 +2 days 🔍
04/22/2025 +0 days 🔍
05/25/2025 +33 days 🔍

Sourcesinfo

Advisory: de.linkedin.com
Status: Not defined

CVE: CVE-2025-43948 (🔍)
GCVE (CVE): GCVE-0-2025-43948
GCVE (VulDB): GCVE-100-305915
EUVD: 🔍

Entryinfo

Created: 04/22/2025 20:49
Updated: 05/25/2025 06:53
Changes: 04/22/2025 20:49 (52), 05/25/2025 06:53 (1)
Complete: 🔍
Cache ID: 216::103

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

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