What is the CVSS score of CVE-2018-5298?

CVE-2018-5298 has a CVSS 3.0 base score of 7.5 (High). CVSS vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N. EPSS exploitation probability: 0.4%.

Oral B App CVE-2018-5298

HIGH

Inadequate Encryption Strength (CWE-326)

2018-01-08 cve@mitre.org

Google Information Disclosure Oral B App

7.5

CVSS 3.0 · NVD

Severity by source

NVD PRIMARY

7.5 HIGH

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

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

None

Availability

None

Lifecycle Timeline

CVE Published

Jan 08, 2018 - 08:29 nvd

HIGH 7.5

DescriptionNVD

In the Procter & Gamble "Oral-B App" (aka com.pg.oralb.oralbapp) application 5.0.0 for Android, AES encryption with static parameters is used to secure the locally stored shared preferences. An attacker can gain access to locally stored user data more easily by leveraging access to the preferences XML file.

AnalysisAI

In the Procter & Gamble "Oral-B App" (aka com.pg.oralb.oralbapp) application 5.0.0 for Android, AES encryption with static parameters is used to secure the locally stored shared preferences. Rated high severity (CVSS 7.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified under CWE-326. In the Procter & Gamble "Oral-B App" (aka com.pg.oralb.oralbapp) application 5.0.0 for Android, AES encryption with static parameters is used to secure the locally stored shared preferences. An attacker can gain access to locally stored user data more easily by leveraging access to the preferences XML file. Affected products include: Pg Oral-B App.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.