Vulnerability-Lookup

GHSA-R8H4-Q53X-8W2P

Vulnerability from github – Published: 2022-11-13 19:00 – Updated: 2022-11-18 21:30

Details

A vulnerability has been found in MZ Automation libiec61850 up to 1.4 and classified as critical. This vulnerability affects unknown code of the file src/mms/iso_mms/client/mms_client_files.c of the component MMS File Services. The manipulation of the argument filename leads to path traversal. Upgrading to version 1.5 is able to address this issue. The name of the patch is 10622ba36bb3910c151348f1569f039ecdd8786f. It is recommended to upgrade the affected component. The identifier of this vulnerability is VDB-213556.

Severity

8.8 (High)


                  
                    CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2022-3976"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-11-13T14:15:00Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability has been found in MZ Automation libiec61850 up to 1.4 and classified as critical. This vulnerability affects unknown code of the file src/mms/iso_mms/client/mms_client_files.c of the component MMS File Services. The manipulation of the argument filename leads to path traversal. Upgrading to version 1.5 is able to address this issue. The name of the patch is 10622ba36bb3910c151348f1569f039ecdd8786f. It is recommended to upgrade the affected component. The identifier of this vulnerability is VDB-213556.",
  "id": "GHSA-r8h4-q53x-8w2p",
  "modified": "2022-11-18T21:30:16Z",
  "published": "2022-11-13T19:00:41Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-3976"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mz-automation/libiec61850/commit/10622ba36bb3910c151348f1569f039ecdd8786f"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mz-automation/libiec61850"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?id.213556"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2022-3976 (GCVE-0-2022-3976)

Vulnerability from cvelistv5 – Published: 2022-11-13 00:00 – Updated: 2025-04-15 13:14

Title

MZ Automation libiec61850 MMS File Services mms_client_files.c path traversal

Summary

Severity

5.5 (Medium)


                        
                          CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-14 17:05 UTC

CWE

CWE-22 - Path Traversal

Assigner

VulDB mitre root

References

3 references

URL	Tags
https://github.com/mz-automation/libiec61850
https://github.com/mz-automation/libiec61850/comm…
https://vuldb.com/?id.213556

Impacted products

1 product

Vendor	Product	Version
MZ Automation	libiec61850	Affected: 1.0 Affected: 1.1 Affected: 1.2 Affected: 1.3 Affected: 1.4

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  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T01:27:54.489Z",
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          },
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            "tags": [
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            "url": "https://vuldb.com/?id.213556"
          }
        ],
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        "metrics": [
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                "id": "CVE-2022-3976",
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                  },
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          "versions": [
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  "cveMetadata": {
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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.