Vulnerability-Lookup

GHSA-6XHF-X49C-M5M6

Vulnerability from github – Published: 2018-07-24 20:04 – Updated: 2020-08-31 18:27

Summary

Github Token Leak in aegir

Details

Affected versions of aegir bundle and publish the current users github token to npm when aegir-release is executed.

Recommendation

Update to version 12.0.8 or later.

If you used this module to do a release for your project you should invalidate the GitHub tokens that were leaked.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 12.0.7"
      },
      "package": {
        "ecosystem": "npm",
        "name": "aegir"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "12.0.0"
            },
            {
              "fixed": "12.0.8"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2017-16225"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2020-06-16T21:20:45Z",
    "nvd_published_at": null,
    "severity": "HIGH"
  },
  "details": "Affected versions of `aegir` bundle and publish the current users github token to npm when `aegir-release` is executed.\n\n\n## Recommendation\n\nUpdate to version 12.0.8 or later.\n\nIf you used this module to do a release for your project you should invalidate the GitHub tokens that were leaked.",
  "id": "GHSA-6xhf-x49c-m5m6",
  "modified": "2020-08-31T18:27:14Z",
  "published": "2018-07-24T20:04:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-16225"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-6xhf-x49c-m5m6"
    },
    {
      "type": "WEB",
      "url": "https://www.npmjs.com/advisories/546"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [],
  "summary": "Github Token Leak in aegir"
}

CVE-2017-16225 (GCVE-0-2017-16225)

Vulnerability from cvelistv5 – Published: 2018-06-07 02:00 – Updated: 2024-09-16 16:52

Summary

aegir is a module to help automate JavaScript project management. Version 12.0.0 through and including 12.0.7 bundled and published to npm the user (that performed a aegir-release) GitHub token.

Severity

No CVSS data available.

CWE

CWE-200 - Information Disclosure (CWE-200)

Assigner

hackerone mitre root Scorecard

References

1 reference

URL	Tags
https://nodesecurity.io/advisories/546	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
HackerOne	aegir node module	Affected: >=12.0.0 <= 12.0.7

Date Public

2018-04-26 00:00

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T20:20:05.467Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://nodesecurity.io/advisories/546"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "aegir node module",
          "vendor": "HackerOne",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e=12.0.0 \u003c= 12.0.7"
            }
          ]
        }
      ],
      "datePublic": "2018-04-26T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "aegir is a module to help automate JavaScript project management. Version 12.0.0 through and including 12.0.7 bundled and published to npm the user (that performed a aegir-release) GitHub token."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-200",
              "description": "Information Disclosure (CWE-200)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2018-06-08T15:57:01.000Z",
        "orgId": "36234546-b8fa-4601-9d6f-f4e334aa8ea1",
        "shortName": "hackerone"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://nodesecurity.io/advisories/546"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "support@hackerone.com",
          "DATE_PUBLIC": "2018-04-26T00:00:00",
          "ID": "CVE-2017-16225",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "aegir node module",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "\u003e=12.0.0 \u003c= 12.0.7"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "HackerOne"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "aegir is a module to help automate JavaScript project management. Version 12.0.0 through and including 12.0.7 bundled and published to npm the user (that performed a aegir-release) GitHub token."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "Information Disclosure (CWE-200)"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://nodesecurity.io/advisories/546",
              "refsource": "MISC",
              "url": "https://nodesecurity.io/advisories/546"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "36234546-b8fa-4601-9d6f-f4e334aa8ea1",
    "assignerShortName": "hackerone",
    "cveId": "CVE-2017-16225",
    "datePublished": "2018-06-07T02:00:00.000Z",
    "dateReserved": "2017-10-29T00:00:00.000Z",
    "dateUpdated": "2024-09-16T16:52:51.508Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

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.

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