Devolutions Server up to 2025.2.20/2025.3.8 Last Usage Logs sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.5$0-$5k0.00

Summaryinfo

A vulnerability has been found in Devolutions Server up to 2025.2.20/2025.3.8 and classified as critical. Affected by this vulnerability is an unknown functionality of the component Last Usage Logs. The manipulation leads to sql injection. This vulnerability is uniquely identified as CVE-2025-13757. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in Devolutions Server up to 2025.2.20/2025.3.8 and classified as critical. This issue affects an unknown part of the component Last Usage Logs. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

SQL Injection vulnerability in last usage logs in Devolutions Server.This issue affects Devolutions Server: through 2025.2.20, through 2025.3.8.

It is possible to read the advisory at devolutions.net. The identification of this vulnerability is CVE-2025-13757 since 11/26/2025. 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 12/04/2025). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

The vulnerability scanner Nessus provides a plugin with the ID 277104 (Devolutions Server < 2025.2.21 / 2025.3.x < 2025.3.9 Multiple Vulnerabilities (DEVO-2025-0018)), which helps to determine the existence of the flaw in a target environment.

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 databases at Tenable (277104), EUVD (EUVD-2025-199829) and CERT Bund (WID-SEC-2025-2695). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Affected

  • Devolutions Server

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

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

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
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: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Nessus ID: 277104
Nessus Name: Devolutions Server < 2025.2.21 / 2025.3.x < 2025.3.9 Multiple Vulnerabilities (DEVO-2025-0018)

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

11/26/2025 CVE reserved
11/27/2025 +1 days Advisory disclosed
11/27/2025 +0 days VulDB entry created
12/04/2025 +7 days VulDB entry last update

Sourcesinfo

Advisory: DEVO-2025-0018
Status: Confirmed

CVE: CVE-2025-13757 (🔒)
GCVE (CVE): GCVE-0-2025-13757
GCVE (VulDB): GCVE-100-333707
EUVD: 🔒
CERT Bund: WID-SEC-2025-2695 - Devolutions Server: Mehrere Schwachstellen

Entryinfo

Created: 11/27/2025 17:54
Updated: 12/04/2025 08:42
Changes: 11/27/2025 17:54 (54), 11/27/2025 22:13 (1), 11/28/2025 10:23 (7), 12/03/2025 15:45 (11), 12/04/2025 08:42 (2)
Complete: 🔍
Cache ID: 216::103

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

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