Kirona Dynamic Resource Scheduling up to 5.5.3.5 /osm/REGISTER.cmd information disclosure

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
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CTI Interest Score
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5.1$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in Kirona Dynamic Resource Scheduling up to 5.5.3.5. The impacted element is an unknown function of the file /osm/REGISTER.cmd. Performing a manipulation results in information disclosure. This vulnerability was named CVE-2019-17503. The attack may be initiated remotely. In addition, an exploit is available.

Detailsinfo

A vulnerability was found in Kirona Dynamic Resource Scheduling up to 5.5.3.5. It has been classified as problematic. This affects an unknown functionality of the file /osm/REGISTER.cmd. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:

An issue was discovered in Kirona Dynamic Resource Scheduling (DRS) 5.5.3.5. An unauthenticated user can access /osm/REGISTER.cmd (aka /osm_tiles/REGISTER.cmd) directly: it contains sensitive information about the database through the SQL queries within this batch file. This file exposes SQL database information such as database version, table name, column name, etc.

The weakness was presented 10/11/2019. This vulnerability is uniquely identified as CVE-2019-17503 since 10/11/2019. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details and a public exploit are known. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

A public exploit has been developed by Ramikan in PHP and been published 3 days after the advisory. The exploit is shared for download at github.com. It is declared as proof-of-concept.

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 Exploit-DB (47498). See VDB-143404 for similar entry. 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: 5.3
VulDB Meta Temp Score: 5.0

VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 5.3
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Author: Ramikan
Programming Language: 🔍
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍
Exploit Delay Time: 🔍

Timelineinfo

10/11/2019 🔍
10/11/2019 +0 days 🔍
10/12/2019 +1 days 🔍
10/14/2019 +2 days 🔍
08/27/2025 +2144 days 🔍

Sourcesinfo

Advisory: 154838
Status: Not defined

CVE: CVE-2019-17503 (🔍)
GCVE (CVE): GCVE-0-2019-17503
GCVE (VulDB): GCVE-100-143403
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 10/12/2019 19:44
Updated: 08/27/2025 18:51
Changes: 10/12/2019 19:44 (35), 10/18/2019 14:11 (23), 01/08/2024 09:09 (8), 08/27/2025 18:51 (17)
Complete: 🔍
Committer: misc
Cache ID: 216::103

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

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