Vulnerability-Lookup

GSD-2022-26260

Vulnerability from gsd - Updated: 2023-12-13 01:19

Details

Simple-Plist v1.3.0 was discovered to contain a prototype pollution vulnerability via .parse().

Aliases

CVE-2022-26260

Aliases

CVE-2022-26260

JSON

To clipboard

{
  "GSD": {
    "alias": "CVE-2022-26260",
    "description": "Simple-Plist v1.3.0 was discovered to contain a prototype pollution vulnerability via .parse().",
    "id": "GSD-2022-26260"
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      "remediation": "unknown",
      "reportConfidence": "confirmed",
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          "pubdate": "2022-03-23",
          "solution": "Unfortunately, there is no solution available yet.",
          "title": "Improperly Controlled Modification of Object Prototype Attributes (\u0027Prototype Pollution\u0027)",
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}

CVE-2022-26260 (GCVE-0-2022-26260)

Vulnerability from cvelistv5 – Published: 2022-03-22 18:15 – Updated: 2024-08-03 04:56

Summary

Simple-Plist v1.3.0 was discovered to contain a prototype pollution vulnerability via .parse().

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/wollardj/simple-plist/issues/60	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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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.