Vulnerability-Lookup

GHSA-5HQ7-J5WQ-P227

Vulnerability from github – Published: 2022-10-26 12:00 – Updated: 2022-10-31 19:24

Summary

feathers-sequelize vulnerable to SQL injection due to improper parameter filtering

Details

feathers-sequelize is vulnerable to improper parameter filtering in the Feathers js library, which may ultimately lead to SQL injection.

Severity

9.8 (Critical)


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

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{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "feathers-sequelize"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "6.0.0"
            },
            {
              "fixed": "6.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-29822"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-10-31T19:24:51Z",
    "nvd_published_at": "2022-10-26T10:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "feathers-sequelize is vulnerable to improper parameter filtering in the Feathers js library, which may ultimately lead to SQL injection.",
  "id": "GHSA-5hq7-j5wq-p227",
  "modified": "2022-10-31T19:24:51Z",
  "published": "2022-10-26T12:00:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-29822"
    },
    {
      "type": "WEB",
      "url": "https://github.com/feathersjs-ecosystem/feathers-sequelize/commit/0f2d85f0b2d556f2b6c70423dcebdbd29d95e3dc"
    },
    {
      "type": "WEB",
      "url": "https://csirt.divd.nl/CVE-2022-29822"
    },
    {
      "type": "WEB",
      "url": "https://csirt.divd.nl/DIVD-2022-00020"
    },
    {
      "type": "WEB",
      "url": "https://csirt.divd.nl/cases/DIVD-2022-00020"
    },
    {
      "type": "WEB",
      "url": "https://csirt.divd.nl/cves/CVE-2022-29822"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/feathersjs-ecosystem/feathers-sequelize"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "feathers-sequelize vulnerable to SQL injection due to improper parameter filtering"
}

CVE-2022-29822 (GCVE-0-2022-29822)

Vulnerability from cvelistv5 – Published: 2022-10-25 00:00 – Updated: 2025-03-11 13:39

Title

Feathers - Improper parameter filtering in the Feathers js library, which may ultimately lead to SQL injection

Summary

Due to improper parameter filtering in the Feathers js library, which may ultimately lead to SQL injection

Severity

10 (Critical)


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

CWE

CWE-89 - SQL Injection

Assigner

DIVD ENISA root

References

2 references

URL	Tags
https://csirt.divd.nl/CVE-2022-29822/	third-party-advisory
https://csirt.divd.nl/DIVD-2022-00020	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
Feather js	Feathers-Sequalize	Affected: 6.x , < 6.3.4 (custom)

Date Public

2022-10-24 22:00

Credits

Thomas Rinsma (Codean) Kevin Valk (Codean) Victor Pasman (DIVD) Frank Breedijk (DIVD)

Show details on NVD website

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.