OpsTree Solutions REMS up to 1.0.0 Test Connection server-side request forgery

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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4.6$0-$5k0.31+

Summaryinfo

A vulnerability was found in OpsTree Solutions REMS up to 1.0.0. It has been rated as problematic. This impacts an unknown function of the component Test Connection. Performing a manipulation results in server-side request forgery. This vulnerability is cataloged as CVE-2026-126770. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in OpsTree Solutions REMS up to 1.0.0. It has been classified as problematic. This affects an unknown function of the component Test Connection. The manipulation with an unknown input leads to a server-side request forgery vulnerability. CWE is classifying the issue as CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. This is going to have an impact on confidentiality. The summary by CVE is:

OpsTree REMS through 1.0.0 contains a server-side request forgery vulnerability that allows authenticated users to make the backend connect to arbitrary destinations through the database Test Connection feature. Attackers can set a database entry's host and port to localhost, internal addresses, or attacker-controlled servers to probe internal hosts and ports reachable from the REMS server.

It is possible to read the advisory at gist.github.com. This vulnerability is uniquely identified as CVE-2026-126770 since 11/11/2026. The exploitability is told to be easy. It is possible to initiate the attack 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 11/11/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 4.6
VulDB Meta Temp Score: 4.6

VulDB Base Score: 4.3
VulDB Temp Score: 4.2
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.0
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Server-side request forgery
CWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
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

11/11/2026 Advisory disclosed
11/11/2026 +0 days CVE reserved
11/11/2026 +0 days VulDB entry created
11/11/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: gist.github.com
Status: Not defined

CNA: VulnCheck
CVE: CVE-2026-126770 (🔒)

GCVE (CVE): GCVE-0-2026-126770
GCVE (VulDB): GCVE-100-435939

Entryinfo

Created: 11/11/2026 19:40
Changes: 11/11/2026 19:40 (74)
Complete: 🔍
Cache ID: 216::103

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

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