Vulnerability-Lookup

GHSA-MXHP-79QH-MCX6

Vulnerability from github – Published: 2020-02-19 16:43 – Updated: 2023-01-30 19:22

Summary

TaffyDB can allow access to any data items in the DB

Details

TaffyDB allows attackers to forge adding additional properties into user-input processed by taffy which can allow access to any data items in the DB. Taffy sets an internal index for each data item in its DB. However, it is found that the internal index can be forged by adding additional properties into user-input. If index is found in the query, TaffyDB will ignore other query conditions and directly return the indexed data item. Moreover, the internal index is in an easily-guessable format (e.g., T000002R000001). As such, attackers can use this vulnerability to access any data items in the DB. Note: taffy and its successor package taffydb are not maintained.

Severity

7.5 (High)


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

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JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "taffy"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "2.6.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "npm",
        "name": "taffydb"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "2.7.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2019-10790"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20",
      "CWE-668"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2020-02-18T20:15:03Z",
    "nvd_published_at": "2020-02-17T20:15:00Z",
    "severity": "HIGH"
  },
  "details": "TaffyDB allows attackers to forge adding additional properties into user-input processed by taffy which can allow access to any data items in the DB. Taffy sets an internal index for each data item in its DB. However, it is found that the internal index can be forged by adding additional properties into user-input. If index is found in the query, TaffyDB will ignore other query conditions and directly return the indexed data item. Moreover, the internal index is in an easily-guessable format (e.g., T000002R000001). As such, attackers can use this vulnerability to access any data items in the DB. **Note:** `taffy` and its successor package `taffydb` are not maintained.",
  "id": "GHSA-mxhp-79qh-mcx6",
  "modified": "2023-01-30T19:22:17Z",
  "published": "2020-02-19T16:43:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-10790"
    },
    {
      "type": "WEB",
      "url": "https://snyk.io/vuln/SNYK-JS-TAFFY-546521"
    },
    {
      "type": "WEB",
      "url": "https://www.npmjs.com/package/taffy"
    },
    {
      "type": "PACKAGE",
      "url": "https://www.npmjs.com/package/taffydb"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "TaffyDB can allow access to any data items in the DB"
}

CVE-2019-10790 (GCVE-0-2019-10790)

Vulnerability from cvelistv5 – Published: 2020-02-17 00:00 – Updated: 2024-08-04 22:32

Summary

taffydb npm module, vulnerable in all versions up to and including 2.7.3, allows attackers to forge adding additional properties into user-input processed by taffy which can allow access to any data items in the DB. taffy sets an internal index for each data item in its DB. However, it is found that the internal index can be forged by adding additional properties into user-input. If index is found in the query, taffyDB will ignore other query conditions and directly return the indexed data item. Moreover, the internal index is in an easily-guessable format (e.g., T000002R000001). As such, attackers can use this vulnerability to access any data items in the DB.

Severity

No CVSS data available.

CWE

Authorization Bypass Through User-Controlled Key

Assigner

snyk mitre root

References

2 references

URL	Tags
https://snyk.io/vuln/SNYK-JS-TAFFY-546521
https://security.snyk.io/vuln/SNYK-JS-TAFFYDB-2992450

Impacted products

1 product

Vendor	Product	Version
n/a	taffy npm module	Affected: All versions including 2.6.2

Show details on NVD website

JSON

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{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T22:32:01.575Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://snyk.io/vuln/SNYK-JS-TAFFY-546521"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://security.snyk.io/vuln/SNYK-JS-TAFFYDB-2992450"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "taffy npm module",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "All versions including 2.6.2"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "taffydb npm module, vulnerable in all versions up to and including 2.7.3, allows attackers to forge adding additional properties into user-input processed by taffy which can allow access to any data items in the DB. taffy sets an internal index for each data item in its DB. However, it is found that the internal index can be forged by adding additional properties into user-input. If index is found in the query, taffyDB will ignore other query conditions and directly return the indexed data item. Moreover, the internal index is in an easily-guessable format (e.g., T000002R000001). As such, attackers can use this vulnerability to access any data items in the DB."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "Authorization Bypass Through User-Controlled Key",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2023-03-17T00:00:00.000Z",
        "orgId": "bae035ff-b466-4ff4-94d0-fc9efd9e1730",
        "shortName": "snyk"
      },
      "references": [
        {
          "url": "https://snyk.io/vuln/SNYK-JS-TAFFY-546521"
        },
        {
          "url": "https://security.snyk.io/vuln/SNYK-JS-TAFFYDB-2992450"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "bae035ff-b466-4ff4-94d0-fc9efd9e1730",
    "assignerShortName": "snyk",
    "cveId": "CVE-2019-10790",
    "datePublished": "2020-02-17T00:00:00.000Z",
    "dateReserved": "2019-04-03T00:00:00.000Z",
    "dateUpdated": "2024-08-04T22:32:01.575Z",
    "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.

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

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