Vulnerability-Lookup

GHSA-895Q-967V-4MXX

Vulnerability from github – Published: 2022-05-17 02:55 – Updated: 2025-04-20 03:32

Details

An issue was discovered in Radisys MRF Web Panel (SWMS) 9.0.1. The MSM_MACRO_NAME POST parameter in /swms/ms.cgi was discovered to be vulnerable to OS command injection attacks. It is possible to use the pipe character (|) to inject arbitrary OS commands and retrieve the output in the application's responses. Attackers could execute unauthorized commands, which could then be used to disable the software, or read, write, and modify data for which the attacker does not have permissions to access directly. Since the targeted application is directly executing the commands instead of the attacker, any malicious activities may appear to come from the application or the application's owner (apache user).

Severity

10.0 (Critical)


                  
                    CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2016-10043"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-78"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-01-31T18:59:00Z",
    "severity": "CRITICAL"
  },
  "details": "An issue was discovered in Radisys MRF Web Panel (SWMS) 9.0.1. The MSM_MACRO_NAME POST parameter in /swms/ms.cgi was discovered to be vulnerable to OS command injection attacks. It is possible to use the pipe character (|) to inject arbitrary OS commands and retrieve the output in the application\u0027s responses. Attackers could execute unauthorized commands, which could then be used to disable the software, or read, write, and modify data for which the attacker does not have permissions to access directly. Since the targeted application is directly executing the commands instead of the attacker, any malicious activities may appear to come from the application or the application\u0027s owner (apache user).",
  "id": "GHSA-895q-967v-4mxx",
  "modified": "2025-04-20T03:32:04Z",
  "published": "2022-05-17T02:55:58Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-10043"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/41179"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2016-10043 (GCVE-0-2016-10043)

Vulnerability from cvelistv5 – Published: 2017-01-31 18:00 – Updated: 2024-08-06 03:07

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://www.exploit-db.com/exploits/41179/	exploitx_refsource_EXPLOIT-DB

Date Public

2017-01-31 00:00

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JSON

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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.

Detection rules are retrieved from Rulezet.

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.

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.