VAR-201911-0263

Vulnerability from variot - Updated: 2024-11-23 22:37

Bastet module of some Huawei smartphones with Versions earlier than Emily-AL00A 9.0.0.182(C00E82R1P21), Versions earlier than Emily-TL00B 9.0.0.182(C01E82R1P21), Versions earlier than Emily-L09C 9.0.0.203(C432E7R1P11), Versions earlier than Emily-L29C 9.0.0.203(C432E7R1P11), Versions earlier than Emily-L29C 9.0.0.202(C185E2R1P12) have a double free vulnerability. An attacker tricks the user into installing a malicious application, which frees on the same memory address twice. Successful exploit could result in malicious code execution. plural Huawei Of smartphone products Bastet The module contains a double release vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. Huawei Hima-AL00B is a smart phone from Huawei of China

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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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