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CVE-2022-30350 (GCVE-0-2022-30350)

Vulnerability from cvelistv5 – Published: 2023-03-30 00:00 – Updated: 2025-02-18 16:22
VLAI
Summary
Avanquest Software RAD PDF (PDFEscape Online) 3.19.2.2 is vulnerable to Information Leak / Disclosure. The PDFEscape Online tool provides users with a "white out" functionality for redacting images, text, and other graphics from a PDF document. However, this mechanism does not remove underlying text or PDF object specification information from the PDF. As a result, for example, redacted text may be copy-pasted by a PDF reader.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-18 16:21 UTC
CWE
  • n/a
  • CWE-213 - Exposure of Sensitive Information Due to Incompatible Policies
Assigner
References
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.