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CVE-2023-28896 (GCVE-0-2023-28896)

Vulnerability from cvelistv5 – Published: 2023-12-01 14:01 – Updated: 2024-08-02 13:51
VLAI
Title
Weak encoding for password in UDS services
Summary
Access to critical Unified Diagnostics Services (UDS) of the Modular Infotainment Platform 3 (MIB3) infotainment is transmitted via Controller Area Network (CAN) bus in a form that can be easily decoded by attackers with physical access to the vehicle. Vulnerability discovered on Škoda Superb III (3V3) - 2.0 TDI manufactured in 2022.
Severity
3.3 (Low)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
JOYNEXT MIB3 Infotainment Unit Affected: 0 , ≤ 0304 (custom)
guessed Create a notification for this product.
Credits
Artem Ivachev (PCAutomotive)
Show details on NVD website
To clipboard 

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Taxonomy of the tags.





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.


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.