CVE-2020-7357 (GCVE-0-2020-7357)
Vulnerability from cvelistv5 – Published: 2020-08-06 15:45 – Updated: 2024-09-17 03:12
VLAI
EPSS
VEX
Title
Cayin CMS Command Injection
Summary
Cayin CMS suffers from an authenticated OS semi-blind command injection vulnerability using default credentials. This can be exploited to inject and execute arbitrary shell commands as the root user through the 'NTP_Server_IP' HTTP POST parameter in system.cgi page. This issue affects several branches and versions of the CMS application, including CME-SE, CMS-60, CMS-40, CMS-20, and CMS version 8.2, 8.0, and 7.5.
Severity
9.6 (Critical)
CWE
- CWE-78 - OS Command Injection
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/rapid7/metasploit-framework/pu… | x_refsource_MISC |
| https://www.zeroscience.mk/en/vulnerabilities/ZSL… | x_refsource_MISC |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vendor-advisoryx_refsource_IBM |
Impacted products
5 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Cayin Technology | Cayin CMS-SE |
Affected:
11.0 Build 19179 , ≤ 11.0 Build 19179
(custom)
|
guessed | |
| Cayin Technology | Cayin CMS-60 |
Affected:
11.0 Build 19025 , ≤ 11.0 Build 19025
(custom)
|
guessed | |
| Cayin Technology | Cayin CMS-40 |
Affected:
9.0 Build 14917 , ≤ 9.0 Build 14917
(custom)
|
guessed | |
| Cayin Technology | Cayin CMS-20 |
Affected:
9.0 Build 14917 , ≤ 9.0 Build 14917
(custom)
|
guessed | |
| Cayin Technology | Cayin CMS |
Affected:
8.2 Build 12199
Affected: 8.0 Build 11175 Affected: 7.5 Build 11175 |
guessed |
Date Public
2020-04-06 00:00
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},
{
"source": "cve@rapid7.com",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2020-5570.php"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/182925"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Patch"
],
"url": "https://github.com/rapid7/metasploit-framework/pull/13607"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2020-5570.php"
}
],
"sourceIdentifier": "cve@rapid7.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-78"
}
],
"source": "cve@rapid7.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-78"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2026-02-24T01:33:32+00:00",
"cve": "CVE-2020-7357",
"id": "CVE-2020-7357",
"initial_release_date": "2020-04-06T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Cayin CMS Command Injection",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2020/cve-2020-7357.json",
"version": "3"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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