CVE-2022-31106 (GCVE-0-2022-31106)

Vulnerability from cvelistv5 – Published: 2022-06-28 17:30 – Updated: 2025-04-22 17:53
VLAI
Title
Prototype Pollution in underscore.deep
Summary
Underscore.deep is a collection of Underscore mixins that operate on nested objects. Versions of `underscore.deep` prior to version 0.5.3 are vulnerable to a prototype pollution vulnerability. An attacker can craft a malicious payload and pass it to `deepFromFlat`, which would pollute any future Objects created. Any users that have `deepFromFlat` or `deepPick` (due to its dependency on `deepFromFlat`) in their code should upgrade to version 0.5.3 as soon as possible. Users unable to upgrade may mitigate this issue by modifying `deepFromFlat` to prevent specific keywords which will prevent this from happening.
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-22 15:40 UTC
CWE
  • CWE-915 - Improperly Controlled Modification of Dynamically-Determined Object Attributes
  • CWE-1321 - Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution')
References
Impacted products
Vendor Product Version
Clever underscore.deep Affected: < 0.5.3
Create a notification for this product.
Show details on NVD website

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                      "lang": "eng",
                      "value": "CWE-915: Improperly Controlled Modification of Dynamically-Determined Object Attributes"
                    }
                  ]
                },
                {
                  "description": [
                    {
                      "lang": "eng",
                      "value": "CWE-1321: Improperly Controlled Modification of Object Prototype Attributes (\u0027Prototype Pollution\u0027)"
                    }
                  ]
                }
              ]
            },
            "references": {
              "reference_data": [
                {
                  "name": "https://github.com/Clever/underscore.deep/security/advisories/GHSA-8j79-hfj5-f2xm",
                  "refsource": "CONFIRM",
                  "url": "https://github.com/Clever/underscore.deep/security/advisories/GHSA-8j79-hfj5-f2xm"
                },
                {
                  "name": "https://github.com/Clever/underscore.deep/commit/b5e109ad05b48371be225fa4d490dd08a94e8ef7",
                  "refsource": "MISC",
                  "url": "https://github.com/Clever/underscore.deep/commit/b5e109ad05b48371be225fa4d490dd08a94e8ef7"
                }
              ]
            },
            "source": {
              "advisory": "GHSA-8j79-hfj5-f2xm",
              "discovery": "UNKNOWN"
            }
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "assignerShortName": "GitHub_M",
        "cveId": "CVE-2022-31106",
        "datePublished": "2022-06-28T17:30:14.000Z",
        "dateReserved": "2022-05-18T00:00:00.000Z",
        "dateUpdated": "2025-04-22T17:53:07.622Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

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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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