CVE-2025-48464 (GCVE-0-2025-48464)

Vulnerability from cvelistv5 – Published: 2025-10-08 06:50 – Updated: 2025-10-08 17:27
VLAI
Title
Exposure of Sensitive Information
Summary
Successful exploitation of the vulnerability could allow an unauthenticated attacker to gain access to a victim’s Sync account data such as account credentials and email protection information.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-08 17:23 UTC
CWE
  • CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
CSA CNA under the mitre root
CNA scorecard D 55/100 over 33 records in the last 180 days details
Impacted products
Vendor Product Version CPE status
DuckDuckGo DuckDuckGo Browser Affected: 5.246.0 and below
guessed Create a notification for this product.
Date Public
2025-10-08 06:49
Show details on NVD website

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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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