CVE-2022-26867 (GCVE-0-2022-26867)

Vulnerability from cvelistv5 – Published: 2022-06-02 21:00 – Updated: 2024-09-16 17:03
VLAI
Summary
PowerStore SW v2.1.1.0 supports the option to export data to either a CSV or an XLSX file. The data is taken as is, without any validation or sanitization. It allows a malicious, authenticated user to inject payloads that might get interpreted as formulas by the corresponding spreadsheet application that is being used to open the CSV/XLSX file.
Severity
5.9 (Medium)
CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:L
CWE
  • CWE-1236 - Improper Neutralization of Formula Elements in a CSV File
Assigner
References
Impacted products
Vendor Product Version CPE status
Dell PowerStore Affected: unspecified , < PowerStore SW v2.1.1.0 (custom)
guessed Create a notification for this product.
Date Public
2022-04-19 00:00
Show details on NVD website
To clipboard 

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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.


Detection rules are retrieved from Rulezet.


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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.