CAYIN SMP-8000QD 3.0 system.cgi NTP_Server_IP os command injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.6$0-$5k0.00

Summaryinfo

A vulnerability has been found in CAYIN SMP-8000QD, SMP-8000, SMP-6000, SMP-4000, SMP-2310, SMP-2300, SMP-2210, SMP-2200, SMP-2100, SMP-2000, SMP-1000, SMP-PROPLUS, SMP-WEBPLUS, SMP-WEB4, SMP-300, SMP-200, SMP-PRO4, SMP-NEO2 and SMP-NEO 3.0 and classified as critical. This affects an unknown function of the file system.cgi. Performing a manipulation of the argument NTP_Server_IP results in os command injection. This vulnerability is cataloged as CVE-2020-36910. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability, which was classified as critical, was found in CAYIN SMP-8000QD, SMP-8000, SMP-6000, SMP-4000, SMP-2310, SMP-2300, SMP-2210, SMP-2200, SMP-2100, SMP-2000, SMP-1000, SMP-PROPLUS, SMP-WEBPLUS, SMP-WEB4, SMP-300, SMP-200, SMP-PRO4, SMP-NEO2 and SMP-NEO 3.0. This affects an unknown part of the file system.cgi. The manipulation of the argument NTP_Server_IP with an unknown input leads to a os command injection vulnerability. CWE is classifying the issue as CWE-78. The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Cayin Signage Media Player 3.0 contains an authenticated remote command injection vulnerability in system.cgi and wizard_system.cgi pages. Attackers can exploit the 'NTP_Server_IP' parameter with default credentials to execute arbitrary shell commands as root.

The weakness was shared by Gjoko Krstic as 48557. It is possible to read the advisory at exploit-db.com. This vulnerability is uniquely identified as CVE-2020-36910 since 01/03/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 01/07/2026). The attack technique deployed by this issue is T1202 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-2026-1026). 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: 8.8
VulDB Meta Temp Score: 8.6

VulDB Base Score: 8.8
VulDB Temp Score: 8.5
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 8.8
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Os command injection
CWE: CWE-78 / CWE-77 / CWE-74
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

01/03/2026 CVE reserved
01/06/2026 +3 days Advisory disclosed
01/06/2026 +0 days VulDB entry created
01/07/2026 +1 days VulDB entry last update

Sourcesinfo

Advisory: 48557
Researcher: Gjoko Krstic
Status: Not defined

CVE: CVE-2020-36910 (🔒)
GCVE (CVE): GCVE-0-2020-36910
GCVE (VulDB): GCVE-100-339699
EUVD: 🔒

Entryinfo

Created: 01/06/2026 17:09
Updated: 01/07/2026 15:27
Changes: 01/06/2026 17:09 (77), 01/07/2026 15:27 (1)
Complete: 🔍
Cache ID: 216::103

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

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