Paessler PRTG Network Monitor 23.2.83.1760 Debug Feature Flag injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.7 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Paessler PRTG Network Monitor 23.2.83.1760. This affects an unknown function of the component Debug Feature Flag Handler. The manipulation leads to injection. This vulnerability is documented as CVE-2023-32781. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in Paessler PRTG Network Monitor 23.2.83.1760 (Network Management Software) and classified as critical. This issue affects some unknown functionality of the component Debug Feature Flag Handler. The manipulation with an unknown input leads to a injection vulnerability. Using CWE to declare the problem leads to CWE-74. The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
An issue was discovered in Paessler PRTG Network Monitor 23.2.83.1760. Due to command-line parameter injection and an undocumented debug feature flag, an attacker can utilize the HL7 sensor to write arbitrary data to the disk. This can be utilized to write a custom EXE(.bat) sensor, that will then run. This primitive gives remote code execution.
The weakness was released 08/09/2023. It is possible to read the advisory at kb.paessler.com. The identification of this vulnerability is CVE-2023-32781 since 05/15/2023. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1055 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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.7VulDB Meta Temp Score: 6.7
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.2
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: InjectionCWE: CWE-74 / CWE-707 / CWE-20
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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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
05/15/2023 🔍08/09/2023 🔍
08/09/2023 🔍
09/02/2023 🔍
Sources
Advisory: kb.paessler.comStatus: Confirmed
CVE: CVE-2023-32781 (🔍)
GCVE (CVE): GCVE-0-2023-32781
GCVE (VulDB): GCVE-100-236651
Entry
Created: 08/09/2023 16:05Updated: 09/02/2023 14:59
Changes: 08/09/2023 16:05 (38), 09/02/2023 14:59 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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