CVE-2022-21948 (GCVE-0-2022-21948)

Vulnerability from cvelistv5 – Published: 2023-02-07 00:00 – Updated: 2025-03-25 17:34
VLAI
Title
paste: XSS on the image upload function
Summary
An Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in paste allows remote attackers to place Javascript into SVG files. This issue affects: openSUSE paste paste version b57b9f87e303a3db9465776e657378e96845493b and prior versions.
Severity
4.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-25 17:33 UTC
CWE
  • CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
Impacted products
Vendor Product Version CPE status
openSUSE paste Affected: paste , ≤ b57b9f87e303a3db9465776e657378e96845493b (custom)
guessed Create a notification for this product.
Date Public
2023-01-02 00:00
Credits
Victor Pereira of SUSE
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.