CVE-2018-6599 : Detail

CVE-2018-6599

5.5
/
Sedang
0.06%V4
2018-08-29
19h00 +00:00
A09-Security Log./Monit. Failures
Local
2024-08-05
06h10 +00:00
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Deskripsi CVE

An issue was discovered on Orbic Wonder Orbic/RC555L/RC555L:7.1.2/N2G47H/329100b:user/release-keys devices, allowing attackers to obtain sensitive information (such as text-message content) by reading a copy of the Android log on the SD card. The system-wide Android logs are not directly available to third-party apps since they tend to contain sensitive data. Third-party apps can read from the log but only the log messages that the app itself has written. Certain apps can leak data to the Android log due to not sanitizing log messages, which is in an insecure programming practice. Pre-installed system apps and apps that are signed with the framework key can read from the system-wide Android log. We found a pre-installed app on the Orbic Wonder that when started via an Intent will write the Android log to the SD card, also known as external storage, via com.ckt.mmitest.MmiMainActivity. Any app that requests the READ_EXTERNAL_STORAGE permission can read from the SD card. Therefore, a local app on the device can quickly start a specific component in the pre-installed system app to have the Android log written to the SD card. Therefore, any app co-located on the device with the READ_EXTERNAL_STORAGE permission can obtain the data contained within the Android log and continually monitor it and mine the log for relevant data. In addition, the default messaging app (com.android.mms) writes the body of sent and received text messages to the Android log, as well as the recipient phone number for sent text messages and the sending phone number for received text messages. In addition, any call data contains phone numbers for sent and received calls.

Informasi CVE

Kelemahan Terkait

CWE-ID Nama Kelemahan Sumber
CWE-532 Insertion of Sensitive Information into Log File
The product writes sensitive information to a log file.

Metrik

Metrik Skor Tingkat keparahan CVSS Vektor Sumber
V3.0 5.5 MEDIUM CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

Base: Exploitabilty Metrics

The Exploitability metrics reflect the characteristics of the thing that is vulnerable, which we refer to formally as the vulnerable component.

Attack Vector

This metric reflects the context by which vulnerability exploitation is possible.

Local

A vulnerability exploitable with Local access means that the vulnerable component is not bound to the network stack, and the attacker's path is via read/write/execute capabilities. In some cases, the attacker may be logged in locally in order to exploit the vulnerability, otherwise, she may rely on User Interaction to execute a malicious file.

Attack Complexity

This metric describes the conditions beyond the attacker's control that must exist in order to exploit the vulnerability.

Low

Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.

Privileges Required

This metric describes the level of privileges an attacker must possess before successfully exploiting the vulnerability.

Low

The attacker is authorized with (i.e. requires) privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges may have the ability to cause an impact only to non-sensitive resources.

User Interaction

This metric captures the requirement for a user, other than the attacker, to participate in the successful compromise of the vulnerable component.

None

The vulnerable system can be exploited without interaction from any user.

Base: Scope Metrics

An important property captured by CVSS v3.0 is the ability for a vulnerability in one software component to impact resources beyond its means, or privileges.

Scope

Formally, Scope refers to the collection of privileges defined by a computing authority (e.g. an application, an operating system, or a sandbox environment) when granting access to computing resources (e.g. files, CPU, memory, etc). These privileges are assigned based on some method of identification and authorization. In some cases, the authorization may be simple or loosely controlled based upon predefined rules or standards. For example, in the case of Ethernet traffic sent to a network switch, the switch accepts traffic that arrives on its ports and is an authority that controls the traffic flow to other switch ports.

Unchanged

An exploited vulnerability can only affect resources managed by the same authority. In this case the vulnerable component and the impacted component are the same.

Base: Impact Metrics

The Impact metrics refer to the properties of the impacted component.

Confidentiality Impact

This metric measures the impact to the confidentiality of the information resources managed by a software component due to a successfully exploited vulnerability.

High

There is total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server.

Integrity Impact

This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information.

None

There is no loss of integrity within the impacted component.

Availability Impact

This metric measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability.

None

There is no impact to availability within the impacted component.

Temporal Metrics

The Temporal metrics measure the current state of exploit techniques or code availability, the existence of any patches or workarounds, or the confidence that one has in the description of a vulnerability.

Environmental Metrics

nvd@nist.gov
V2 2.1 AV:L/AC:L/Au:N/C:P/I:N/A:N nvd@nist.gov

EPSS

EPSS adalah model penilaian yang memprediksi kemungkinan suatu kerentanan dieksploitasi.

Skor EPSS

Model EPSS menghasilkan skor probabilitas antara 0 dan 1 (0 hingga 100%). Semakin tinggi skor, semakin besar probabilitas bahwa suatu kerentanan akan dieksploitasi.

Persentil EPSS

Persentil digunakan untuk meranking CVE berdasarkan skor EPSS mereka. Misalnya, CVE di persentil ke-95 berdasarkan skor EPSS-nya lebih mungkin dieksploitasi daripada 95% CVE lainnya. Dengan demikian, persentil digunakan untuk membandingkan skor EPSS suatu CVE dengan CVE lainnya.

Produk yang Disebutkan

Konfigurasi 0

Orbic>>Wonder_rc555l_firmware >> Version 7.1

Orbic>>Wonder_rc555l_firmware >> Version 7.1.2

Orbic>>Wonder_rc555l >> Version -

Referensi