CVE-2024-39435

Sept. 30, 2024, 6:13 p.m.

7.8
High

Description

In Logmanager service, there is a possible missing verification incorrect input. This could lead to local escalation of privilege with no additional execution privileges needed.

Product(s) Impacted

Vendor Product Versions
Google
  • Android
  • 12.0, 13.0, 14.0
Unisoc
  • S8000
  • Sc7731e
  • Sc9832e
  • Sc9863a
  • T310
  • T606
  • T610
  • T612
  • T616
  • T618
  • T760
  • T770
  • T820
  • -
  • -
  • -
  • -
  • -
  • -
  • -
  • -
  • -
  • -
  • -
  • -
  • -

Weaknesses

Common security weaknesses mapped to this vulnerability.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
o google android 12.0 / / / / / / /
o google android 13.0 / / / / / / /
o google android 14.0 / / / / / / /
h unisoc s8000 - / / / / / / /
h unisoc sc7731e - / / / / / / /
h unisoc sc9832e - / / / / / / /
h unisoc sc9863a - / / / / / / /
h unisoc t310 - / / / / / / /
h unisoc t606 - / / / / / / /
h unisoc t610 - / / / / / / /
h unisoc t612 - / / / / / / /
h unisoc t616 - / / / / / / /
h unisoc t618 - / / / / / / /
h unisoc t760 - / / / / / / /
h unisoc t770 - / / / / / / /
h unisoc t820 - / / / / / / /

References

https://www.unisoc.com/en_us/secy/announcementDetail/1830802995705610241

Tags

NVD-CWE-noinfo
security@unisoc.com
2024-09-27
CVE-2024-39435

CVSS Score

7.8 / 10

CVSS Data

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
    • View Vector String

    CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Date

  • Published: Sept. 27, 2024, 8:15 a.m.
  • Last Modified: Sept. 30, 2024, 6:13 p.m.

Status : Analyzed

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security@unisoc.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.