CVE-2022-32175 (GCVE-0-2022-32175)

Vulnerability from cvelistv5 – Published: 2022-10-11 14:20 – Updated: 2025-05-20 14:10
VLAI
Title
AdGuardHome - CSRF
Summary
In AdGuardHome, versions v0.95 through v0.108.0-b.13 are vulnerable to Cross-Site Request Forgery (CSRF), in the custom filtering rules functionality. An attacker can persuade an authorized user to follow a malicious link, resulting in deleting/modifying the custom filtering rules.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-20 14:09 UTC
CWE
  • CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
Impacted products
Vendor Product Version CPE status
AdguardHome AdguardHome Affected: v0.99.0 , < unspecified (custom)
Affected: unspecified , ≤ v0.108.0-b.9 (custom)
guessed Create a notification for this product.
Date Public
2022-10-11 00:00
Show details on NVD website

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  }
}



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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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Detection rules are retrieved from Rulezet.

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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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