Vulnerability-Lookup

GHSA-96H5-25JJ-74VC

Vulnerability from github – Published: 2022-05-14 03:10 – Updated: 2022-05-14 03:10

Details

The clustered setup of Apache MXNet allows users to specify which IP address and port the scheduler will listen on via the DMLC_PS_ROOT_URI and DMLC_PS_ROOT_PORT env variables. In versions older than 1.0.0, however, the MXNet framework will listen on 0.0.0.0 rather than user specified DMLC_PS_ROOT_URI once a scheduler node is initialized. This exposes the instance running MXNet to any attackers reachable via the interface they didn't expect to be listening on. For example: If a user wants to run a clustered setup locally, they may specify to run on 127.0.0.1. But since MXNet will listen on 0.0.0.0, it makes the port accessible on all network interfaces.

Severity

6.5 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2018-1281"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-06-08T19:29:00Z",
    "severity": "MODERATE"
  },
  "details": "The clustered setup of Apache MXNet allows users to specify which IP address and port the scheduler will listen on via the DMLC_PS_ROOT_URI and DMLC_PS_ROOT_PORT env variables. In versions older than 1.0.0, however, the MXNet framework will listen on 0.0.0.0 rather than user specified DMLC_PS_ROOT_URI once a scheduler node is initialized. This exposes the instance running MXNet to any attackers reachable via the interface they didn\u0027t expect to be listening on. For example: If a user wants to run a clustered setup locally, they may specify to run on 127.0.0.1. But since MXNet will listen on 0.0.0.0, it makes the port accessible on all network interfaces.",
  "id": "GHSA-96h5-25jj-74vc",
  "modified": "2022-05-14T03:10:32Z",
  "published": "2022-05-14T03:10:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-1281"
    },
    {
      "type": "WEB",
      "url": "https://github.com/dmlc/ps-lite/commit/4be817e8b03e7e92517e91f2dfcc50865e91c6ea"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2018-1281 (GCVE-0-2018-1281)

Vulnerability from cvelistv5 – Published: 2018-06-08 19:00 – Updated: 2024-09-17 00:26

Summary

Severity

No CVSS data available.

CWE

Allows unauthorized access

Assigner

apache mitre root

References

1 reference

URL	Tags
https://github.com/dmlc/ps-lite/commit/4be817e8b0…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache MXNet	Affected: versions older than 1.0.0

Date Public

2018-01-02 00:00

Show details on NVD website

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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.