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CVE-2022-3890 (GCVE-0-2022-3890)

Vulnerability from cvelistv5 – Published: 2022-11-09 00:00 – Updated: 2024-10-23 19:17
VLAI
Summary
Heap buffer overflow in Crashpad in Google Chrome on Android prior to 107.0.5304.106 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High)
Severity
9.6 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-23 19:16 UTC
CWE
  • Heap buffer overflow
  • CWE-787 - Out-of-bounds Write
Assigner
References
Impacted products
Vendor Product Version CPE status
Google Chrome Affected: unspecified , < 107.0.5304.106 (custom)
guessed Create a notification for this product.
google chrome Affected: 0 , < 107.0.5304.106 (custom)
    cpe:2.3:a:google:chrome:*:*:*:*:*:*:*:*
Create a notification for this product.
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

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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.


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.